=0;N=nbuf[mask];N/=np.maximum(np.linalg.norm(N,axis=1)[:,None],1e-8);P=pbuf[mask];V=cam-P;V/=np.linalg.norm(V,axis=1)[:,None];R=2*np.sum(N*V,axis=1)[:,None]*N-V\ncolors=np.zeros_like(N);metal=np.zeros(len(N));rough=np.zeros(len(N));UV=uvbuf[mask];M=ids[mask]\nfor i,name in enumerate(materials):\n a=M==i\n if name=='BrushedStainlessSteel':\n img=np.array(Image.open('/output/textures/brushed_steel.png'))/255.;u=(UV[a,0]%1*(img.shape[1]-1)).astype(int);v=((1-UV[a,1])%1*(img.shape[0]-1)).astype(int)\n colors[a]=img[v,u]**2.2;metal[a]=1;rough[a]=.35\n elif 'Stainless' in name:colors[a]=[.53,.54,.56] if name=='RolledStainlessEdge' else [.20,.21,.22];metal[a]=1;rough[a]=.23\n elif name=='GraphitePolymer':colors[a]=[.025,.025,.027];rough[a]=.28\n elif name=='LidSatinPolymer':colors[a]=[.026,.026,.028];rough[a]=.37\n elif name=='SwitchSatinPolymer':colors[a]=[.035,.035,.038];rough[a]=.36\n else:colors[a]=[.006,.007,.008];rough[a]=.61\n# Large studio softboxes, evaluated in reflected directions to mimic a neutral HDR studio.\ndef env(D,rough):\n val=np.ones((len(D),3))*.075\n val+=np.maximum(D[:,2],0)[:,None]*.22\n for direction,strength,width,elong in [((-1,-.6,1.2),3.0,.18,3.8),((.7,1,1.8),1.25,.26,1.6),((1,-.8,.6),1.0,.23,2.3)]:\n L=np.array(direction);L=L/np.linalg.norm(L)\n h=np.cross(L,[0,0,1]);h/=np.linalg.norm(h);v=np.cross(h,L)\n a=D.dot(h);b=D.dot(v);front=np.maximum(D.dot(L),0)\n val+=(strength*np.exp(-.5*((a/(width+rough*.45))**2+(b/(width*elong+rough*.45))**2))*front**3)[:,None]\n return val\nndv=np.maximum(np.sum(N*V,axis=1),0);F0=colors*metal[:,None]+.04*(1-metal[:,None]);fres=F0+(1-F0)*(1-ndv[:,None])**5\nspec=env(R,rough)*fres\nirr=np.ones_like(colors)*.21\nfor direction,strength in [((-1,-.6,1.2),.65),((.7,1,1.8),.4),((1,-.8,.6),.3)]:\n L=np.array(direction);L=L/np.linalg.norm(L);irr+=np.maximum(N.dot(L),0)[:,None]*strength\nout=colors*(1-metal[:,None])*irr+spec\nout=out/(1+out*.6);out=np.clip(out,0,1)**(1/2.2)\n# neutral charcoal floor/background\nim=np.zeros((SIZE,SIZE,3));im[:]=[.19,.185,.19]\nim[mask]=out\n# gentle contact shadow around the bottom\nfrom PIL import ImageFilter\nfinal=Image.fromarray(np.uint8(im*255));final.save('/tmp/preview.png')\nos.makedirs('/output/.thumbs/256x256',exist_ok=True)\nfinal.resize((256,256),Image.Resampling.LANCZOS).save('/output/.thumbs/256x256/asset.usd.png')\nprint('Saved /tmp/preview.png')\n"
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+ "reasoning_content": "**Evaluating measurements and design**\n\nI\u2019m checking the source annulus, which has a smoother top and a sharp end at .219. Our donut seems to be .027 high. The source cap is from a picture showing a metal seam, measuring y294 to y366, while top52 is at .032m height. Our collar is at .025m, which seems fine. Hmm, the buttons are too hidden since they're below the external handle, so that might be a design concern.\n**Calculating dimensions**\n\nI\u2019m figuring out the text label target width, which should be around 0.06 to 0.075 meters along the circumference. I created a texture to be about 0.080 meters, which seems okay. But wait, I'm not sure about centering it with theta at -0.44. I\u2019ll need to double-check that part to ensure it's centered correctly. It's a little tricky, but I\u2019ll get it sorted!",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_pDr7wa6nPvo8VUqESaP4Slx4|fc_011a5e835b7f3bbc016ad82130f4e087d1a01e871247068b18",
+ "function_name": "edit",
+ "arguments": {
+ "path": "/tmp/build_asset.py",
+ "edits": [
+ {
+ "oldText": "label=label.crop((0,0,510,72)).resize((335,78),Image.Resampling.LANCZOS)\nim.paste(label,(int(W*.43)-168,H-int(.037/.25*H)-39),label)",
+ "newText": "label=label.crop((0,0,510,72)).resize((380,100),Image.Resampling.LANCZOS)\nim.paste(label,(int(W*.465)-190,H-int(.037/.25*H)-50),label)"
+ },
+ {
+ "oldText": "releaseOrigin=np.array([0,.0805,.2254])",
+ "newText": "releaseOrigin=np.array([0,.0826,.2282])"
+ },
+ {
+ "oldText": "lathe('/Kettle/Vessel/SteelShell',profile,steel)",
+ "newText": "# A gently pressed-in grip well under the handle leaves room for the fingers.\nshell=lathe('/Kettle/Vessel/SteelShell',profile,steel)\nsv=np.array(shell.GetPointsAttr().Get(),dtype=float)\nfor p in sv:\n ang=math.atan2(p[1],p[0]);da=math.atan2(math.sin(ang-math.pi/2),math.cos(ang-math.pi/2))\n if .060.040:p[:2]*=(r-dent)/r\nshell.GetPointsAttr().Set(Vt.Vec3fArray.FromNumpy(sv.astype(np.float32)))\n# Smooth normals on the sculpted surface, using the existing indexed topology.\nsn=np.zeros_like(sv);cnt=shell.GetFaceVertexCountsAttr().Get();ind=shell.GetFaceVertexIndicesAttr().Get();ii=0\nfor count in cnt:\n f=list(ind[ii:ii+count]);ii+=count\n a,b,c=sv[f[:3]];n=np.cross(b-a,c-a);le=np.linalg.norm(n)\n if le>1e-14:\n n/=le\n for k in f:sn[k]+=n\nsn/=np.maximum(np.linalg.norm(sn,axis=1)[:,None],1e-14)\n# Blend seam normals across the duplicate longitude vertices.\nfor j in range(len(profile)):\n a=j*193;b=a+192;n=sn[a]+sn[b];le=np.linalg.norm(n)\n if le>1e-12:sn[a]=sn[b]=n/le\nshell.GetNormalsAttr().Set(Vt.Vec3fArray.FromNumpy(sn.astype(np.float32)))"
+ },
+ {
+ "oldText": "lip[:,2]-=.00036",
+ "newText": "lip[:,2]-=.00038"
+ },
+ {
+ "oldText": "stage.GetRootLayer().Save()\n# public geometry",
+ "newText": "# Bake the final millimetre-level depth calibration into geometry and all mechanical frames.\nbbox=UsdGeom.BBoxCache(0,['default','render']).ComputeWorldBound(root.GetPrim()).ComputeAlignedRange()\nys=.22246960550546646/bbox.GetSize()[1]\nfor p in stage.Traverse():\n if p.IsA(UsdGeom.Mesh):\n m=UsdGeom.Mesh(p);pp=np.array(m.GetPointsAttr().Get(),dtype=float);pp[:,1]*=ys;m.GetPointsAttr().Set(Vt.Vec3fArray.FromNumpy(pp.astype(np.float32)))\n nn=np.array(m.GetNormalsAttr().Get(),dtype=float);nn[:,1]/=ys;nn/=np.maximum(np.linalg.norm(nn,axis=1)[:,None],1e-12);m.GetNormalsAttr().Set(Vt.Vec3fArray.FromNumpy(nn.astype(np.float32)))\n m.GetExtentAttr().Set([Gf.Vec3f(*map(float,pp.min(axis=0))),Gf.Vec3f(*map(float,pp.max(axis=0)))])\n if p.IsA(UsdGeom.Xform):\n for op in UsdGeom.Xformable(p).GetOrderedXformOps():\n if op.GetOpType()==UsdGeom.XformOp.TypeTranslate:\n t=op.Get();op.Set(Gf.Vec3d(t[0],t[1]*ys,t[2]))\n for attrname in ['physics:localPos0','physics:localPos1','physics:centerOfMass']:\n a=p.GetAttribute(attrname)\n if a and a.HasAuthoredValueOpinion():\n t=a.Get();a.Set(Gf.Vec3f(t[0],t[1]*ys,t[2]))\nstage.GetRootLayer().Save()\n# public geometry"
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+ "reasoning_content": "**Evaluating collider shapes**\n\nI'm considering a potential issue with the collision hull of the main body filling a recess. It looks like the convex hull shape isn't working because it preserves dents that shouldn't be there. Instead, I need the collider shape to follow the recess rather than be just a whole solid. The hollow interior could fill the physics, but the main convex hull doesn't support water simulation. I think the collisions are adequate for the body hull. The lid opens outside, and it seems like the dimensions are close enough.\n\n**Addressing shell normals**\n\nI\u2019m examining the shell normals and running into an issue where they're becoming zero due to dividing lengths that lead to NaN values. It seems like bottom center normals from the quad are mostly all zero. I'm also dealing with degeneracy in the triangles, which causes some normals to become invalid. The initial analytical normal starts off valid, but recalculation is creating zeros in the bottom ring. I need to ensure that I retain the original normals to address quality issues. It looks like I need to manage how the orientation is preserved in cases of cylindrical adjustments.\n\n**Adding and validating normals**\n\nI need to add the normals file, and there\u2019s no issue with that. The automatic generation is producing flat superellipse normals for the ring face that seem independent of the previous broad equal settings. However, I noticed a weird shiny white line reflecting off the corners, which is unexpected. On the other hand, the rounded_box mesh has high values for the center top normals, which looks good. Now, it's time to run the rebuild, render, and validate the results.",
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+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_D6j8Xczw1ab2vObx6eKn6fQK|fc_011a5e835b7f3bbc016ad8215c8f9087d1bbe812cf7c156bc5",
+ "content": "{\"request_id\":\"check-2\",\"snapshot_sha256\":\"f26c9b058acf43338c05ebb41cc5996509a8e78b55321773295b98c40cb3d5a4\",\"validation_calls_used\":2,\"validation_calls_remaining\":3,\"feedback\":{\"schema_version\":\"simready-validator-feedback-v1\",\"snapshot_sha256\":\"f26c9b058acf43338c05ebb41cc5996509a8e78b55321773295b98c40cb3d5a4\",\"reward\":100.0,\"simready\":{\"schema\":\"simready-validator-score-v1\",\"policy_id\":\"NVIDIA-Robotics-Prop-4.0.0-mandatory-95-plus-5-v1\",\"status\":\"scored\",\"score_percent\":100.0,\"base_credit_percent\":95.0,\"completion_bonus\":5,\"passed_count\":46,\"failed_count\":0,\"unknown_count\":0,\"applicable_count\":46,\"official_conformance\":{\"profile\":{\"id\":\"Robotics-Prop\",\"version\":\"4.0.0\"},\"passed\":true,\"filtered\":false},\"checks\":[{\"requirement_id\":\"com.nvidia.simready.HI.010\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.004\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.005\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.007\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.008\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.007\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.010\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.COL.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.COL.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.COL.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.MAT.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.QCODE.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.TIME.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SR.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SR.004\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.UN.006\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.UN.007\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VG.008\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VG.025\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VG.MESH.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VM.MAT.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VM.PS.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VM.TEX.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VM.TEX.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.AA.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.AA.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.HI.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.HI.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.HI.004\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.RB.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.RB.005\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.RB.009\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.RB.COL.004\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VG.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VG.014\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VG.027\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VG.028\",\"status\":\"pass\",\"finding_count\":1},{\"requirement_id\":\"com.nvidia.usd.VG.029\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VM.BIND.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VM.PS.001\",\"status\":\"pass\",\"finding_count\":0}]},\"nvidia_validator_report\":{\"available\":true,\"report_id\":\"b3adcc37f6abfff2a238394a58e98226f65ed965eaa72994cb0bbcb1f1d74399\",\"sha256\":\"b3adcc37f6abfff2a238394a58e98226f65ed965eaa72994cb0bbcb1f1d74399\",\"bytes\":220581,\"total_characters\":220581,\"issue_counts\":{\"issues\":0,\"soft_issues\":87,\"warnings\":1,\"infos\":0},\"complete_report_available\":true,\"delivery\":\"agent_file\",\"file_path\":\"/tmp/simready-validation-reports/b3adcc37f6abfff2a238394a58e98226f65ed965eaa72994cb0bbcb1f1d74399.json\",\"report\":null,\"retrieval_tool\":\"get_validation_report\",\"offset_unit\":\"Unicode_code_points\",\"search_hint\":\"rg -n -m 20 -M 240 --max-columns-preview -F -e -e ; use sed -n ,p for nearby lines\",\"redactions\":\"private host paths and credential patterns only; original diagnostic wording, suggestions and candidate USD sites retained\",\"file_available\":true,\"validation_calls_consumed\":0}},\"status\":\"completed\"}",
+ "extra": {
+ "tool_name": "mcp",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
+ "prompt_tokens": 34912,
+ "completion_tokens": 29,
+ "cached_tokens": 34486,
+ "extra": {
+ "cache_write_tokens": 423,
+ "reasoning_tokens": 0,
+ "pi_total_tokens": 34941
+ }
+ },
+ "llm_call_count": 1,
+ "extra": {
+ "pi_event_id": "61a8f13b",
+ "pi_parent_id": "537a08d8",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_011a5e835b7f3bbc016ad8215a825887d1b9a3754e391be09d",
+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ },
+ {
+ "step_id": 32,
+ "timestamp": "2026-10-21T02:20:23.004Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_aIMt6NDhWqbadVxv9UXUWZ94|fc_011a5e835b7f3bbc016ad82166adf087d1a31a79e4b940b48d",
+ "function_name": "read",
+ "arguments": {
+ "path": "/tmp/preview.png",
+ "offset": 1,
+ "limit": 1
+ }
+ },
+ {
+ "tool_call_id": "call_0aZbtQIVj1x62me30pUCCRfQ|fc_011a5e835b7f3bbc016ad82166ae0887d1ab278023fd6ce225",
+ "function_name": "bash",
+ "arguments": {
+ "command": "python - <<'PY'\nimport json,collections\nr=json.load(open('/tmp/simready-validation-reports/b3adcc37f6abfff2a238394a58e98226f65ed965eaa72994cb0bbcb1f1d74399.json'))\nprint('Warnings:',r['warnings'])\nd=collections.defaultdict(list)\nfor x in r['soft_issues']:d[x['rule_id']].append(x)\nfor k,v in d.items():\n print(k,len(v))\n for t in v[:2]:print(' ',t['prim_path'],t['message'])\nPY",
+ "timeout": 100
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_aIMt6NDhWqbadVxv9UXUWZ94|fc_011a5e835b7f3bbc016ad82166adf087d1a31a79e4b940b48d",
+ "content": [
+ {
+ "type": "text",
+ "text": "Read image file [image/png]"
+ },
+ {
+ "type": "image",
+ "source": {
+ "media_type": "image/png",
+ "path": "images/pi_image_4.png"
+ }
+ }
+ ],
+ "extra": {
+ "tool_name": "read",
+ "is_error": false
+ }
+ },
+ {
+ "source_call_id": "call_0aZbtQIVj1x62me30pUCCRfQ|fc_011a5e835b7f3bbc016ad82166ae0887d1ab278023fd6ce225",
+ "content": "Warnings: [{'asset': \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\", 'location': \"PrimId(stage_id=StageId(root_layer=LayerId(identifier='/output/asset.usd')), path=/Kettle/Vessel/SteelShell)\", 'message': \"Mesh '/Kettle/Vessel/SteelShell' has non-unit normal (length=0.000000).\", 'prim_path': '/Kettle/Vessel/SteelShell', 'requirement_version': '1.0.0', 'rule': 'usd_validation_nvidia.rules._geometry.NormalsValidChecker', 'rule_id': 'com.nvidia.usd.VG.028', 'severity': 'warning', 'suggestions': []}]\ncom.nvidia.simready.ISA.001 1\n /Kettle Incomplete Isaac Sim composition: performance robot layout; missing layers: base, geometries, instances, materials.\ncom.nvidia.simready.NVM.002 7\n /Kettle/Looks/BrushedStainlessSteel Required attribute \"omni:simready:nonvisual:base\" for nonvisual material doesn't exist.\n /Kettle/Looks/GraphitePolymer Required attribute \"omni:simready:nonvisual:base\" for nonvisual material doesn't exist.\ncom.nvidia.simready.NVM.003 7\n /Kettle/Looks/BrushedStainlessSteel Required attribute \"omni:simready:nonvisual:coating\" for nonvisual material doesn't exist.\n /Kettle/Looks/GraphitePolymer Required attribute \"omni:simready:nonvisual:coating\" for nonvisual material doesn't exist.\ncom.nvidia.simready.NVM.001 7\n /Kettle/Looks/BrushedStainlessSteel Required attribute \"omni:simready:nonvisual:attributes\" for nonvisual material doesn't exist.\n /Kettle/Looks/GraphitePolymer Required attribute \"omni:simready:nonvisual:attributes\" for nonvisual material doesn't exist.\ncom.nvidia.simready.DISP.001 21\n /Kettle/Vessel/SteelShell GPrim '/Kettle/Vessel/SteelShell' does not resolve a 'primvars:displayColor', authored on the prim or inherited from an ancestor\n /Kettle/Vessel/InsulatedBase GPrim '/Kettle/Vessel/InsulatedBase' does not resolve a 'primvars:displayColor', authored on the prim or inherited from an ancestor\ncom.nvidia.simready.GSP.001 1\n /Kettle Asset must have at least one grasp vector prim.\ncom.nvidia.simready.VM.PBR.001 7\n /Kettle/Looks/BrushedStainlessSteel material '/Kettle/Looks/BrushedStainlessSteel' is bound for rendering but connects no OpenPBR final surface: it connects outputs:surface, and not 'outputs:mtlx:surface'\n /Kettle/Looks/GraphitePolymer material '/Kettle/Looks/GraphitePolymer' is bound for rendering but connects no OpenPBR final surface: it connects outputs:surface, and not 'outputs:mtlx:surface'\ncom.nvidia.simready.VM.MDL.003 7\n /Kettle/Looks/BrushedStainlessSteel material '/Kettle/Looks/BrushedStainlessSteel' is bound for rendering and connects no 'outputs:mdl:surface', so the asset does not have an MDL final surface on the geometry it renders: it connects outputs:surface\n /Kettle/Looks/GraphitePolymer material '/Kettle/Looks/GraphitePolymer' is bound for rendering and connects no 'outputs:mdl:surface', so the asset does not have an MDL final surface on the geometry it renders: it connects outputs:surface\ncom.nvidia.simready.MUJOCO.COL.001 13\n /Kettle/Vessel/CollisionVessel MuJoCo collider '/Kettle/Vessel/CollisionVessel' must apply MjcCollisionAPI.\n /Kettle/Handle/CollisionGrip00 MuJoCo collider '/Kettle/Handle/CollisionGrip00' must apply MjcCollisionAPI.\ncom.nvidia.simready.RV.007 1\n /Kettle Default prim must declare a 'MuJoCo' physics runtime variant set.\ncom.nvidia.simready.RV.004 1\n /Kettle Default prim must declare a 'Newton' physics runtime variant set.\ncom.nvidia.simready.NEWTON.COL.001 13\n /Kettle/Vessel/CollisionVessel Newton mesh collider '/Kettle/Vessel/CollisionVessel' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n /Kettle/Handle/CollisionGrip00 Newton mesh collider '/Kettle/Handle/CollisionGrip00' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\ncom.nvidia.simready.RV.001 1\n /Kettle Default prim must declare a 'PhysX' physics runtime variant set.",
+ "extra": {
+ "tool_name": "bash",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
+ "prompt_tokens": 36563,
+ "completion_tokens": 201,
+ "cached_tokens": 34909,
+ "extra": {
+ "cache_write_tokens": 1651,
+ "reasoning_tokens": 0,
+ "pi_total_tokens": 36764
+ }
+ },
+ "llm_call_count": 1,
+ "extra": {
+ "pi_event_id": "a22beed8",
+ "pi_parent_id": "760949e4",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_011a5e835b7f3bbc016ad8216126e487d19e114d117a5a8f7d",
+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ },
+ {
+ "step_id": 33,
+ "timestamp": "2026-10-21T02:21:55.209Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "The revised asset passes all 46 mandatory NVIDIA checks. I also inspected the detailed report; it flags one non-unit normal at the vessel\u2019s bottom centre. I\u2019ll correct it, make a final pass on the handle recess and collision fit, and check the joint frames and overall bounds before submitting.",
+ "reasoning_content": "**Improving Geometry Reference**\n\nI\u2019ve formalized the design but realize I need to enhance the geometry references. The source handle features a broader loop that connects to the crown, while ours is narrower. The body of the source kettle is wider at the bottom than the top, which I need to consider. The top lid width ratio seems good, but our handle integration is less smooth. Plus, the source collar extends fully into the handle, while ours has a less seamless joint. I\u2019ll need to add a molded bridge for blending.\n\n**Adjusting Crown Deformation**\n\nI\u2019m noticing that the body\u2019s main crown has angular deformation towards +Y, so I need to elongate the upper crown to match where the handle starts. The lathe\u2019s circular ring is touching at a specific Y and Z but ends at a point where the handle extends further down. I might need to widen the sweep at the base while tapering as needed. The source bridge\u2019s width differs from ours, suggesting adjustments. I\u2019ll also ensure a fixed steel seam from the vessel to the crown at the top.\n\n**Analyzing Spout Visibility**\n\nI\u2019ve noticed that the spout has a thin lip around the opening but shows a grey outer wall, possibly because we\u2019re viewing it from behind. Since the camera angle is +Y, the spout is -Y on the far side, so the interior should face upward and downward. It seems like our renderer is ignoring the backface of the spout and rendering the outer wall instead. However, the inner wall is closer to the camera, and ideally, it should be visible. This needs correction!\n**Refining interior rendering**\n\nI\u2019m contemplating the interior design of a vessel, particularly aiming for a target black color. I\u2019m considering adjusting the interior darkness and referencing a nearly black appearance. Since our software creates a bright interior due to no shadows, true ray tracing might help darken it effectively. Currently, the main vessel has a steel appearance inside, which confuses the texture, but I want to ensure the spout and interior have darker materials for consistency. I\u2019ll need to adjust the spout shape and dimensions for accuracy as well.\n\n**Adjusting spout dimensions**\n\nI need to widen the arc from 0.54 to 0.65 and modify the lip profile to have a less steep variation. The camera captures the lip apex at certain coordinates, so I\u2019m comparing it with reference points to ensure accuracy. The far spout's top lip requires a strong rise towards the center, maintaining height at the edges. I\u2019m also paying attention to the dimensions and ensuring our spout design resembles the intended broad triangle neck while matching the target body height.\n\n**Refining body sculpting**\n\nI'm reflecting on the body sculpting, which currently has a subtle angularity that isn't very visible because of the narrow camera angle. The current angle is set at 0.64, while the center is at 1.57, creating a noticeable delta of 0.93. The view ray through the hole likely influences how the body's side appears, maybe around 1.14 theta, especially where there's a significant dent. I need to consider how to adjust these angles for better visibility of the sculpt.",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_rWaqbBiSq07OEexu1uIxJLCi|fc_011a5e835b7f3bbc016ad821b405a887d19535a13e5c9d6168",
+ "function_name": "edit",
+ "arguments": {
+ "path": "/tmp/build_asset.py",
+ "edits": [
+ {
+ "oldText": "interior=material('InsideStainlessSteel',(.20,.21,.22),1,.39)",
+ "newText": "interior=material('InsideStainlessSteel',(.055,.058,.061),1,.39)"
+ },
+ {
+ "oldText": "dent=.0140*math.exp(-(da/.43)**4)",
+ "newText": "dent=.0180*math.exp(-(da/.65)**4)"
+ },
+ {
+ "oldText": "sn/=np.maximum(np.linalg.norm(sn,axis=1)[:,None],1e-14)\n# Blend seam",
+ "newText": "zero=np.linalg.norm(sn,axis=1)<1e-14\nsn[zero]=np.array(shell.GetNormalsAttr().Get())[zero]\nsn/=np.maximum(np.linalg.norm(sn,axis=1)[:,None],1e-14)\n# Blend seam"
+ },
+ {
+ "oldText": "shell.GetNormalsAttr().Set(Vt.Vec3fArray.FromNumpy(sn.astype(np.float32)))",
+ "newText": "shell.GetNormalsAttr().Set(Vt.Vec3fArray.FromNumpy(sn.astype(np.float32)))\ninsideSubset=UsdGeom.Subset.Define(stage,'/Kettle/Vessel/SteelShell/InteriorFaces');insideSubset.CreateElementTypeAttr('face');insideSubset.CreateFamilyNameAttr('materialBind');insideSubset.CreateIndicesAttr(list(range(16*192,(len(profile)-1)*192)))\nUsdShade.MaterialBindingAPI.Apply(insideSubset.GetPrim()).Bind(interior)"
+ },
+ {
+ "oldText": "[.0145,.0165,.0172,.0178,.013]",
+ "newText": "[.020,.0175,.0172,.0178,.013]"
+ },
+ {
+ "oldText": " mesh_records.append((str(path),np.array(verts),faces))",
+ "newText": " sh=UsdShade.Shader(stage.GetPrimAtPath(mat.GetPath().AppendChild('PreviewSurface')))\n col=sh.GetInput('diffuseColor').Get() if sh else Gf.Vec3f(.1)\n if col: m.CreateDisplayColorAttr([col])\n mesh_records.append((str(path),np.array(verts),faces))"
+ },
+ {
+ "oldText": "cprof=[(0,.004),(.069,.004),(.077,.025),(.078,.05),(.075,.12),(.070,.19),(.068,.219),(0,.219)]\nv=[];f=[];N=40\nfor r,z in cprof:\n for i in range(N):v.append((r*math.cos(i*2*math.pi/N),r*math.sin(i*2*math.pi/N),z))\nfor j in range(len(cprof)-1):\n for i in range(N):f.append([j*N+i,j*N+(i+1)%N,(j+1)*N+(i+1)%N,(j+1)*N+i])\ncollider_hull('/Kettle/Vessel','CollisionVessel',v,f)",
+ "newText": "# Stacked convex hulls follow the grip well in height instead of filling it with one large hull.\nlevels=[.004,.025,.055,.080,.108,.138,.168,.198,.219];N=48\nzz=np.array([.004,.025,.044,.061,.090,.12,.15,.18,.204,.219]);rr=np.array([.069,.0765,.0785,.0782,.077,.075,.0722,.0699,.0683,.0678])\nfor j in range(len(levels)-1):\n v=[];f=[]\n for z in [levels[j],levels[j+1]]:\n r=float(np.interp(z,zz,rr))\n for i in range(N):\n t=i*2*math.pi/N;da=math.atan2(math.sin(t-math.pi/2),math.cos(t-math.pi/2));dent=0\n if .060 -e ; use sed -n ,p for nearby lines\",\"redactions\":\"private host paths and credential patterns only; original diagnostic wording, suggestions and candidate USD sites retained\",\"file_available\":true,\"validation_calls_consumed\":0}},\"status\":\"completed\"}",
+ "extra": {
+ "tool_name": "mcp",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
+ "prompt_tokens": 43572,
+ "completion_tokens": 29,
+ "cached_tokens": 42268,
+ "extra": {
+ "cache_write_tokens": 1301,
+ "reasoning_tokens": 0,
+ "pi_total_tokens": 43601
+ }
+ },
+ "llm_call_count": 1,
+ "extra": {
+ "pi_event_id": "7a92a036",
+ "pi_parent_id": "35909cc3",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_011a5e835b7f3bbc016ad821ea9cac87d19b70b67fec8a39dc",
+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ },
+ {
+ "step_id": 36,
+ "timestamp": "2026-10-21T02:22:46.588Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "",
+ "reasoning_content": "**Evaluating final counts**\n\nI have a count of 16, but I actually need the current count, which might be 42? I\u2019m thinking it could be final now, but I should review the final NVIDIA report file. There\u2019s a requirement to inspect the findings before I submit anything done previously. It sounds like I can be brief, but I still need to evaluate the visual images in the final report.",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_siVXIEknfmbv6VuwxuLC3NvU|fc_011a5e835b7f3bbc016ad821f638b087d1ab1b48feb3554c04",
+ "function_name": "read",
+ "arguments": {
+ "path": "/tmp/preview.png",
+ "offset": 1,
+ "limit": 1
+ }
+ },
+ {
+ "tool_call_id": "call_LWkzzk7vStDBEtQwIyneGYS1|fc_011a5e835b7f3bbc016ad821f638c487d1a4c28a7050bbc729",
+ "function_name": "bash",
+ "arguments": {
+ "command": "python - <<'PY'\nimport json,os\nr=json.load(open('/tmp/simready-validation-reports/9cd5401b09c7b9cdfa657de65bbc82a0108a83a4e69251e60010cb6f7569a581.json'))\nprint('NVIDIA final report: passed=',r['passed'],'issues=',len(r['issues']),'warnings=',len(r['warnings']))\nfrom collections import Counter\nprint('Optional findings:',dict(Counter(x['rule_id'] for x in r['soft_issues'])))\nprint('Delivered files:')\nfor path,dirs,files in os.walk('/output'):\n for f in files:print(os.path.join(path,f),os.path.getsize(os.path.join(path,f)))\nPY",
+ "timeout": 100
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_siVXIEknfmbv6VuwxuLC3NvU|fc_011a5e835b7f3bbc016ad821f638b087d1ab1b48feb3554c04",
+ "content": [
+ {
+ "type": "text",
+ "text": "Read image file [image/png]"
+ },
+ {
+ "type": "image",
+ "source": {
+ "media_type": "image/png",
+ "path": "images/pi_image_5.png"
+ }
+ }
+ ],
+ "extra": {
+ "tool_name": "read",
+ "is_error": false
+ }
+ },
+ {
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+}
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+ "profiles/open_taxonomy_profiles.toml": "8675927dc6d4edbd4c3c60c8d8ac860c2142cdf3e95da3e710cb22f21c403841",
+ "profiles/package_profiles.toml": "27f31c333c8ca98d0ec1d46029e3269bc8b6f683a31724bad43ea0609dc4bfcd",
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+ "profiles/robotics_prop.toml": "55436c902cd238daab9be26caaa9f197509825d866f8b6fcfbb74de61b93fcd9"
+ },
+ "versions": {
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+ "simready-validate": "2026.8.0",
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+ "logger": "simready.validate",
+ "message": "simready.validate (2026.8.0) initialize."
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+ {
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+ "logger": "simready.validate",
+ "message": "Clearing requirements registry"
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+ {
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+ "logger": "simready.validate",
+ "message": "Clearing features registry"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Clearing profiles registry"
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+ {
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+ "logger": "simready.validate",
+ "message": "Clearing rules registry"
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+ {
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+ "logger": "simready.validate",
+ "message": "No filesystem paths provided; discovering and loading installed tiers"
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+ {
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+ "message": "Discovered tier: tier_core"
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+ "message": " Resolved tier 'tier_core' -> simready.foundation.tier_core:tier"
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+ "logger": "simready.validate",
+ "message": "Registering 1 installed SimReady tier(s): tier_core"
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+ "message": "Tier 'tier_core': importing rules package 'simready.foundation.tier_core.capabilities'"
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+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_000_ISAAC' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_000_ISAAC-0.1.0.json"
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+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_000_MUJOCO' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_000_MUJOCO-0.1.0.json"
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+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_000_NEWTON' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_000_NEWTON-0.1.0.json"
+ },
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+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_000_PHYSX' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_000_PHYSX-0.1.0.json"
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_000_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_000_STANDARD-0.1.0.json"
+ },
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+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_000_STANDARD' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_000_STANDARD-0.2.0.json"
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+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_001_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_001_STANDARD-0.1.0.json"
+ },
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_001_STANDARD' version '1.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_001_STANDARD-1.0.0.json"
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+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_001_STANDARD' version '1.0.1' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_001_STANDARD-1.0.1.json"
+ },
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+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_002_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_002_STANDARD-0.1.0.json"
+ },
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_003_MUJOCO' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_003_MUJOCO-0.1.0.json"
+ },
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_003_NEWTON' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_003_NEWTON-0.1.0.json"
+ },
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_003_PHYSX' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_003_PHYSX-0.1.0.json"
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_003_PHYSX' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_003_PHYSX-0.2.0.json"
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_003_PHYSX' version '0.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_003_PHYSX-0.3.0.json"
+ },
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_003_PHYSX' version '0.4.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_003_PHYSX-0.4.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_003_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_003_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_003_STANDARD' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_003_STANDARD-0.2.0.json"
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_MUJOCO' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_MUJOCO-0.1.0.json"
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_NEWTON' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_NEWTON-0.1.0.json"
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+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_PHYSX' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_PHYSX-0.1.0.json"
+ },
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_PHYSX' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_PHYSX-0.2.0.json"
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_PHYSX' version '0.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_PHYSX-0.3.0.json"
+ },
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_PHYSX' version '0.4.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_PHYSX-0.4.0.json"
+ },
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_ROBOT_MUJOCO' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_ROBOT_MUJOCO-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_ROBOT_NEWTON' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_ROBOT_NEWTON-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_ROBOT_PHYSX' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_ROBOT_PHYSX-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_ROBOT_PHYSX' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_ROBOT_PHYSX-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_ROBOT_PHYSX' version '0.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_ROBOT_PHYSX-0.3.0.json"
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_ROBOT_PHYSX' version '0.4.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_ROBOT_PHYSX-0.4.0.json"
+ },
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_STANDARD-0.1.0.json"
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_STANDARD' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_STANDARD-0.2.0.json"
+ },
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_005_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_005_STANDARD-0.1.0.json"
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+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_006_MDL' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_006_MDL-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_006_MDL' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_006_MDL-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_006_OPENPBR' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_006_OPENPBR-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_006_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_006_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_006_STANDARD' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_006_STANDARD-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_007_STANDARD' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_007_STANDARD-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_010_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_010_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_011_RTX' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_011_RTX-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_011_STANDARD' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_011_STANDARD-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_021_ISAAC' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_021_ISAAC-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_021_ISAAC' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_021_ISAAC-0.2.0.json"
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+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_021_ISAAC' version '0.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_021_ISAAC-0.3.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_022_ISAAC' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_022_ISAAC-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_022_ISAAC' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_022_ISAAC-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_022_MUJOCO' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_022_MUJOCO-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_022_NEWTON' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_022_NEWTON-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_022_PHYSX' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_022_PHYSX-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_022_PHYSX' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_022_PHYSX-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_022_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_022_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_022_STANDARD' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_022_STANDARD-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_023_ISAAC' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_023_ISAAC-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_024_MUJOCO' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_024_MUJOCO-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_024_NEWTON' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_024_NEWTON-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_024_PHYSX' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_024_PHYSX-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_024_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_024_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_025_ROS' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_025_ROS-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_028_ISAAC' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_028_ISAAC-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_028_MUJOCO' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_028_MUJOCO-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_028_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_028_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_030_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_030_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_031_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_031_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_032_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_032_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_033_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_033_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_033_STANDARD' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_033_STANDARD-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_033_STANDARD' version '0.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_033_STANDARD-0.3.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_033_STANDARD' version '0.4.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_033_STANDARD-0.4.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_040_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_040_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_041_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_041_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_042_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_042_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_043_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_043_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_044_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_044_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_045_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_045_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_046_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_046_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_100_ISAAC' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_100_ISAAC-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_100_ISAAC' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_100_ISAAC-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_100_ISAAC' version '0.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_100_ISAAC-0.3.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_100_ISAAC' version '0.4.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_100_ISAAC-0.4.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_101_ISAAC' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_101_ISAAC-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Open-Taxonomy-COCO' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/open_taxonomy_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Open-Taxonomy-Cityscapes' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/open_taxonomy_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Open-Taxonomy-ADE20K' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/open_taxonomy_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Open-Taxonomy-PascalVOC' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/open_taxonomy_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Open-Taxonomy-SUNRGBD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/open_taxonomy_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Open-Taxonomy-ImageNet1K' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/open_taxonomy_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Package' version '1.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/package_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Package-NoBOM' version '1.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/package_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Package-Candidate' version '1.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/package_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Package-Candidate' version '1.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/package_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Package-Candidate' version '1.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/package_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Package-Candidate' version '1.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/package_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Body' version '2.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_body.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Body' version '2.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_body.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Body' version '2.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_body.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Body' version '2.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_body.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Body' version '3.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_body.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Gripper' version '2.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_gripper.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Gripper' version '2.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_gripper.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Gripper' version '2.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_gripper.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Gripper' version '3.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_gripper.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robotics-Prop' version '3.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robotics_prop.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robotics-Prop' version '3.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robotics_prop.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robotics-Prop' version '3.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robotics_prop.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robotics-Prop' version '3.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robotics_prop.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robotics-Prop' version '4.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robotics_prop.toml"
+ },
+ {
+ "level": "WARNING",
+ "logger": "root",
+ "message": "DeprecationWarning: Use find() instead"
+ },
+ {
+ "level": "WARNING",
+ "logger": "root",
+ "message": "File /opt/simready/venv/lib/python3.12/site-packages/simready/validate/api.py, line 485, in _build_features_validation_summary"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.VM.MDL.003'] did not pass for feature FET_006_MDL."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.ISA.001'] did not pass for feature FET_100_ISAAC."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.VM.PBR.001'] did not pass for feature FET_006_OPENPBR."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.NEWTON.COL.001'] did not pass for feature FET_003_NEWTON."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.RV.007'] did not pass for feature FET_000_MUJOCO."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.MUJOCO.COL.001'] did not pass for feature FET_004_MUJOCO."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.MUJOCO.COL.001'] did not pass for feature FET_003_MUJOCO."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.RV.004'] did not pass for feature FET_000_NEWTON."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.NEWTON.COL.001'] did not pass for feature FET_004_NEWTON."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.NVM.001', 'com.nvidia.simready.NVM.002', 'com.nvidia.simready.NVM.003'] did not pass for feature FET_007_STANDARD."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.RV.001'] did not pass for feature FET_000_PHYSX."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.GSP.001'] did not pass for feature FET_005_STANDARD."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Clearing requirements registry"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Clearing features registry"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Clearing profiles registry"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Clearing rules registry"
+ }
+ ],
+ "outcome": "success",
+ "passed": true,
+ "profile_id": "Robotics-Prop",
+ "profile_version": "4.0.0",
+ "rule_execution": {
+ "buckets": [
+ {
+ "bucket": "neutral",
+ "declared_requirement_codes": [
+ "com.nvidia.simready.DISP.001",
+ "com.nvidia.simready.DISP.002",
+ "com.nvidia.simready.DISP.003",
+ "com.nvidia.simready.GSP.001",
+ "com.nvidia.simready.HI.010",
+ "com.nvidia.simready.ISA.001",
+ "com.nvidia.simready.JT.001",
+ "com.nvidia.simready.JT.ART.003",
+ "com.nvidia.simready.NP.002",
+ "com.nvidia.simready.NP.003",
+ "com.nvidia.simready.NP.004",
+ "com.nvidia.simready.NP.005",
+ "com.nvidia.simready.NP.006",
+ "com.nvidia.simready.NP.007",
+ "com.nvidia.simready.NP.008",
+ "com.nvidia.simready.NVM.001",
+ "com.nvidia.simready.NVM.002",
+ "com.nvidia.simready.NVM.003",
+ "com.nvidia.simready.NVM.004",
+ "com.nvidia.simready.NVM.005",
+ "com.nvidia.simready.NVM.006",
+ "com.nvidia.simready.PMT.001",
+ "com.nvidia.simready.RB.001",
+ "com.nvidia.simready.RB.007",
+ "com.nvidia.simready.RB.010",
+ "com.nvidia.simready.RB.011",
+ "com.nvidia.simready.RB.012",
+ "com.nvidia.simready.RB.COL.001",
+ "com.nvidia.simready.RB.COL.002",
+ "com.nvidia.simready.RB.COL.003",
+ "com.nvidia.simready.RB.MB.001",
+ "com.nvidia.simready.RV.010",
+ "com.nvidia.simready.RV.011",
+ "com.nvidia.simready.SL.001",
+ "com.nvidia.simready.SL.002",
+ "com.nvidia.simready.SL.003",
+ "com.nvidia.simready.SL.MAT.001",
+ "com.nvidia.simready.SL.QCODE.001",
+ "com.nvidia.simready.SL.TIME.001",
+ "com.nvidia.simready.SR.001",
+ "com.nvidia.simready.SR.002",
+ "com.nvidia.simready.SR.004",
+ "com.nvidia.simready.UN.006",
+ "com.nvidia.simready.UN.007",
+ "com.nvidia.simready.VG.008",
+ "com.nvidia.simready.VG.025",
+ "com.nvidia.simready.VG.MESH.001",
+ "com.nvidia.simready.VM.BIND.002",
+ "com.nvidia.simready.VM.MAT.001",
+ "com.nvidia.simready.VM.MDL.001",
+ "com.nvidia.simready.VM.MDL.003",
+ "com.nvidia.simready.VM.PBR.001",
+ "com.nvidia.simready.VM.PBR.002",
+ "com.nvidia.simready.VM.PBR.003",
+ "com.nvidia.simready.VM.PS.002",
+ "com.nvidia.simready.VM.TEX.001",
+ "com.nvidia.simready.VM.TEX.003",
+ "com.nvidia.simready.VM.TEX.004",
+ "com.nvidia.simready.VM.TEX.005",
+ "com.nvidia.usd.AA.001",
+ "com.nvidia.usd.AA.002",
+ "com.nvidia.usd.HI.001",
+ "com.nvidia.usd.HI.003",
+ "com.nvidia.usd.HI.004",
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+{
+ "schema_version": "ATIF-v1.7",
+ "session_id": "01a15c3a-25d9-73ad-8868-70f438006ba0",
+ "agent": {
+ "name": "pi",
+ "version": "0.85.1",
+ "model_name": "harbor-endpoint/gpt-6.1-sol"
+ },
+ "steps": [
+ {
+ "step_id": 1,
+ "timestamp": "2026-10-21T02:11:19.562Z",
+ "source": "user",
+ "message": [
+ {
+ "type": "text",
+ "text": "\nReconstruct the supplied object as /output/asset.usd.\nNominal dimensions in canonical metres XYZ: [0.25498659908771515, 0.5052737593650818, 0.5052788853645325]\nRead /task/contract.md, /task/tool-docs.md and /task/scoring-policy.json. Identify the rigid parts, joints and their motion before authoring, then reconstruct appearance and mechanical structure. Use Python/PXR. Do not use Blender. Validate and inspect the NVIDIA findings before submitting.\n"
+ },
+ {
+ "type": "image",
+ "source": {
+ "media_type": "image/png",
+ "path": "images/pi_image_1.png"
+ }
+ }
+ ],
+ "extra": {
+ "pi_event_id": "1c543e06",
+ "pi_parent_id": "25c6edd5"
+ }
+ },
+ {
+ "step_id": 2,
+ "timestamp": "2026-10-21T02:11:22.991Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_LtPYtmbHViknpBajvqRlcFoT|fc_0403f288a90f1152016ad81f4aad9887d1a4d71afc0aaa67fe",
+ "function_name": "read",
+ "arguments": {
+ "path": "/task/contract.md",
+ "offset": 1,
+ "limit": 2000
+ }
+ },
+ {
+ "tool_call_id": "call_E56gO35vnEIOoNFbByecYmN8|fc_0403f288a90f1152016ad81f4aada887d1a805c83fb26a27f2",
+ "function_name": "read",
+ "arguments": {
+ "path": "/task/tool-docs.md",
+ "offset": 1,
+ "limit": 2000
+ }
+ },
+ {
+ "tool_call_id": "call_rOPX4uCtTwIWmhsU1i9mLRc3|fc_0403f288a90f1152016ad81f4aadb487d18f5bc9057e303c1b",
+ "function_name": "read",
+ "arguments": {
+ "path": "/task/scoring-policy.json",
+ "offset": 1,
+ "limit": 2000
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_LtPYtmbHViknpBajvqRlcFoT|fc_0403f288a90f1152016ad81f4aad9887d1a4d71afc0aaa67fe",
+ "content": "# Reconstruction contract\n\nReconstruct the supplied object at /output/asset.usd using Python/PXR. Include\nits local USD and texture dependencies and place authoring scripts in /tmp.\nRead the supplied dimensions, image and scoring-policy.json.\n\nThe evaluation reports three independent scores:\n\n- Formal fidelity: NVIDIA SimReady-Foundation Robotics-Prop 4.0.0. Each of its\n 46 mandatory requirements counts once, with 95 * passed / 46 points and five\n further points when all pass. The 51 optional requirements are reported separately.\n- Visual fidelity: reference-scale shape, colours, textures and surface appearance.\n- Kinematic fidelity: the object's connected rigid parts, joint types, hinge or\n sliding axes, attachment locations and allowed ranges of motion.\n\nIdentify the object's parts and their mechanical relationships before authoring.\nKeep parts that move relative to one another as distinct rigid bodies and author\nthe corresponding UsdPhysics joints. Specify each joint's connected bodies,\nlocal positions, local orientations, axis and appropriate motion limits. For\nexample, folding eyewear needs hinged temples rather than one rigid mesh.\nUse fixed joints for genuine fixed attachments and keep genuinely rigid objects\nrigid. Base this structure on the supplied observations and the object's function.\n\nCheck that joint frames meet at each attachment, that movable parts can travel\nthrough their intended range and that the bodies and joints have the appropriate\nenabled and kinematic states. Preserve the observed shape and materials while\nconstructing this mechanical structure.\n\nUse validate_candidate to inspect the NVIDIA findings and repair the candidate.\nThe final submission freezes the authored files for evaluation.",
+ "extra": {
+ "tool_name": "read",
+ "is_error": false
+ }
+ },
+ {
+ "source_call_id": "call_E56gO35vnEIOoNFbByecYmN8|fc_0403f288a90f1152016ad81f4aada887d1a805c83fb26a27f2",
+ "content": "# Authoring tools\n\nget_task_thumbnail returns the reference image. validate_candidate accepts {\"request_id\":\"check-1\"} and returns the current score, remaining validation calls and nvidia_validator_report.file_path. Search that JSON file with rg for a requirement ID or candidate prim path. get_validation_report reads a selected range of the same report.\n\nUse a new request ID after each repair. submit_asset accepts {\"request_id\":\"final\"} and stops authoring. The model has 64 inference requests, with provider-native output limits. Captures appear in the final report.",
+ "extra": {
+ "tool_name": "read",
+ "is_error": false
+ }
+ },
+ {
+ "source_call_id": "call_rOPX4uCtTwIWmhsU1i9mLRc3|fc_0403f288a90f1152016ad81f4aadb487d18f5bc9057e303c1b",
+ "content": "{\n \"benchmark_output_token_cap\": null,\n \"composite_scores\": {\n \"formal\": \"SimReady Robotics-Prop mandatory requirements\",\n \"kinematic\": \"joint recovery and allowed relative motion correspondence\",\n \"visual\": \"geometric mean of shape and appearance material correspondence\"\n },\n \"limits\": {\n \"agent_seconds\": 231000,\n \"final_seconds\": 600,\n \"inference_requests\": 64,\n \"preview_requests\": 12,\n \"preview_seconds\": 90,\n \"validation_calls\": 5,\n \"validation_seconds\": 120,\n \"views_per_preview\": 4\n },\n \"model_call_budget\": 64,\n \"reward_reporting\": {\n \"formula\": \"95 * passed / fixed_applicable + 5_if_all_pass\",\n \"harbor_key\": \"simready_reward\",\n \"scale\": [\n 0,\n 100\n ]\n },\n \"semantic_labels\": {\n \"criterion\": \"mandatory NVIDIA SL IDs only\",\n \"required\": true,\n \"scoring\": true\n },\n \"validator_scoring\": {\n \"all_pass_bonus_percent\": 5,\n \"applicability\": \"fixed_profile_and_task_before_candidate\",\n \"applicable_requirement_ids\": [\n \"com.nvidia.simready.HI.010\",\n \"com.nvidia.simready.NP.002\",\n \"com.nvidia.simready.NP.003\",\n \"com.nvidia.simready.NP.004\",\n \"com.nvidia.simready.NP.005\",\n \"com.nvidia.simready.NP.007\",\n \"com.nvidia.simready.NP.008\",\n \"com.nvidia.simready.RB.001\",\n \"com.nvidia.simready.RB.007\",\n \"com.nvidia.simready.RB.010\",\n \"com.nvidia.simready.RB.COL.001\",\n \"com.nvidia.simready.RB.COL.002\",\n \"com.nvidia.simready.RB.COL.003\",\n \"com.nvidia.simready.SL.001\",\n \"com.nvidia.simready.SL.002\",\n \"com.nvidia.simready.SL.003\",\n \"com.nvidia.simready.SL.MAT.001\",\n \"com.nvidia.simready.SL.QCODE.001\",\n \"com.nvidia.simready.SL.TIME.001\",\n \"com.nvidia.simready.SR.002\",\n \"com.nvidia.simready.SR.004\",\n \"com.nvidia.simready.UN.006\",\n \"com.nvidia.simready.UN.007\",\n \"com.nvidia.simready.VG.008\",\n \"com.nvidia.simready.VG.025\",\n \"com.nvidia.simready.VG.MESH.001\",\n \"com.nvidia.simready.VM.MAT.001\",\n \"com.nvidia.simready.VM.PS.002\",\n \"com.nvidia.simready.VM.TEX.001\",\n \"com.nvidia.simready.VM.TEX.003\",\n \"com.nvidia.usd.AA.001\",\n \"com.nvidia.usd.AA.002\",\n \"com.nvidia.usd.HI.001\",\n \"com.nvidia.usd.HI.003\",\n \"com.nvidia.usd.HI.004\",\n \"com.nvidia.usd.RB.003\",\n \"com.nvidia.usd.RB.005\",\n \"com.nvidia.usd.RB.009\",\n \"com.nvidia.usd.RB.COL.004\",\n \"com.nvidia.usd.VG.002\",\n \"com.nvidia.usd.VG.014\",\n \"com.nvidia.usd.VG.027\",\n \"com.nvidia.usd.VG.028\",\n \"com.nvidia.usd.VG.029\",\n \"com.nvidia.usd.VM.BIND.001\",\n \"com.nvidia.usd.VM.PS.001\"\n ],\n \"base_credit_percent\": 95,\n \"early_stop_penalty_percent\": 0,\n \"optional_requirements\": \"report_only\",\n \"policy_id\": \"NVIDIA-Robotics-Prop-4.0.0-mandatory-95-plus-5-v1\",\n \"process_shaping_percent\": 0,\n \"profile\": {\n \"id\": \"Robotics-Prop\",\n \"version\": \"4.0.0\"\n },\n \"profile_inventory_sha256\": \"5a8dccd559cd3625025cedd08f7e2c174df32b8bbe0b17da9c94a588c86da13c\",\n \"report_only_mandatory_ids\": [],\n \"schema\": \"simready-validator-scoring-policy-v1\",\n \"scope\": \"all_mandatory_profile\",\n \"scoring_unit\": \"one_mandatory_requirement_ID\",\n \"stop_bonus_percent\": 0,\n \"unknown\": \"null_score_fixed_denominator\"\n }\n}",
+ "extra": {
+ "tool_name": "read",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
+ "prompt_tokens": 2668,
+ "completion_tokens": 100,
+ "cached_tokens": 0,
+ "extra": {
+ "cache_write_tokens": 2665,
+ "reasoning_tokens": 0,
+ "pi_total_tokens": 2768
+ }
+ },
+ "llm_call_count": 1,
+ "extra": {
+ "pi_event_id": "dbfc979e",
+ "pi_parent_id": "1c543e06",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_0403f288a90f1152016ad81f4854ec87d1a33c35a12fc9baa4",
+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ },
+ {
+ "step_id": 3,
+ "timestamp": "2026-10-21T02:11:25.440Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_iUIUnFneAe1JxKNOBazcHqtN|fc_0403f288a90f1152016ad81f4d0a2887d19d5c6c58ed962dee",
+ "function_name": "mcp",
+ "arguments": {
+ "server": "benchmark"
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_iUIUnFneAe1JxKNOBazcHqtN|fc_0403f288a90f1152016ad81f4d0a2887d19d5c6c58ed962dee",
+ "content": "benchmark (4 tools):\n\n- benchmark_get_task_thumbnail - Read the supplied task thumbnail and public brief.\n- benchmark_validate_candidate - Validate a frozen candidate and return NVIDIA...\n- benchmark_submit_asset - End authoring and freeze the submitted asset....\n- benchmark_get_validation_report - Read a requested range of a prior NVIDIA report....",
+ "extra": {
+ "tool_name": "mcp",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
+ "prompt_tokens": 4295,
+ "completion_tokens": 18,
+ "cached_tokens": 2665,
+ "extra": {
+ "cache_write_tokens": 1627,
+ "reasoning_tokens": 0,
+ "pi_total_tokens": 4313
+ }
+ },
+ "llm_call_count": 1,
+ "extra": {
+ "pi_event_id": "71e3b515",
+ "pi_parent_id": "1e08fe41",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_0403f288a90f1152016ad81f4bc78487d1bfe32b7b5af06e56",
+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ },
+ {
+ "step_id": 4,
+ "timestamp": "2026-10-21T02:11:28.557Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_Z9xtNfHbdgulKfhJHr2AaWwF|fc_0403f288a90f1152016ad81f4fb7d487d1ba811df3401a0bb4",
+ "function_name": "bash",
+ "arguments": {
+ "command": "ls -la /output && python - <<'PY'\nfrom pxr import Usd, UsdGeom, UsdPhysics\nprint('PXR OK')\nPY",
+ "timeout": 30
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_Z9xtNfHbdgulKfhJHr2AaWwF|fc_0403f288a90f1152016ad81f4fb7d487d1ba811df3401a0bb4",
+ "content": "total 0\ndrwxrwxrwx 2 actor actor 40 Oct 21 02:11 .\ndrwxr-xr-x 1 root root 56 Oct 21 02:11 ..\nPXR OK",
+ "extra": {
+ "tool_name": "bash",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
+ "prompt_tokens": 4387,
+ "completion_tokens": 58,
+ "cached_tokens": 4292,
+ "extra": {
+ "cache_write_tokens": 92,
+ "reasoning_tokens": 0,
+ "pi_total_tokens": 4445
+ }
+ },
+ "llm_call_count": 1,
+ "extra": {
+ "pi_event_id": "488d64b1",
+ "pi_parent_id": "6977d0e1",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_0403f288a90f1152016ad81f4ec51887d1b87f54726f4ef779",
+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ },
+ {
+ "step_id": 5,
+ "timestamp": "2026-10-21T02:11:44.906Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "The object is a five-spoke alloy wheel rim. The barrel, spokes, and hub form one rigid casting; the center cap and valve are fixed attachments. There\u2019s no visible axle or mechanism requiring a movable joint. I\u2019ll model the rim along the X axis at the supplied dimensions, then check the geometry, physics setup, and NVIDIA validation findings.",
+ "reasoning_content": "**Reconstructing the rim**\n\nI need to reconstruct a wheel rim, which involves identifying five spokes. I've mentally analyzed the image and confirmed there are five spokes extending from the center to various points. The rim is a silver alloy, forming a rigid assembly with a fixed valve and center cap. I'm aiming for an accurate 3D shape, building a barrel lathe on the X-axis with specific dimensions. I also need to create broad concave spokes and ensure the cutouts' geometry is correct.\n\n**Using trimesh and shapely**\n\nI\u2019m considering whether I can use trimesh and shapely for my design. I may need a script to create a procedural structure for the spokes with consistent cross sections and beveling. The design includes five staggered holes for lugs, with some obscured by perspective. The center cap has a small radius, and the hub is considerably deeper than the front lip. I also need to define the spokes and their angles accurately. The rim is wide, and I'll calibrate the hub and spoke dimensions accordingly.\n\n**Creating realistic metal surfaces**\n\nI need to incorporate realistic metal surfaces into the design. For this, I\u2019ll use UsdPreviewSurface with a metallic value of 0.9 and a roughness between 0.25 and 0.32, with polished edges at 0.22. The barrel will be silver with a roughness of 0.45 and 0.32. Additionally, the shadows on the side spokes will depend on the lighting from the renderer. I should also focus on using geometry bevels and high smooth normals instead of flat surfaces for a better appearance.",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_1w2im36wO4ZWQnaWEt0m4i2n|fc_0403f288a90f1152016ad81f5f6d7487d19e5d746c135e7e2b",
+ "function_name": "bash",
+ "arguments": {
+ "command": "python - <<'PY'\nimport importlib.util\nfor s in ['numpy','scipy','shapely','trimesh','PIL','pxr','manifold3d']:\n print(s,importlib.util.find_spec(s))\nPY\nls -la /task",
+ "timeout": 30
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_1w2im36wO4ZWQnaWEt0m4i2n|fc_0403f288a90f1152016ad81f5f6d7487d19e5d746c135e7e2b",
+ "content": "numpy ModuleSpec(name='numpy', loader=<_frozen_importlib_external.SourceFileLoader object at 0x7b9638a608f0>, origin='/usr/local/lib/python3.12/dist-packages/numpy/__init__.py', submodule_search_locations=['/usr/local/lib/python3.12/dist-packages/numpy'])\nscipy None\nshapely None\ntrimesh None\nPIL ModuleSpec(name='PIL', loader=<_frozen_importlib_external.SourceFileLoader object at 0x7b9638a61700>, origin='/usr/local/lib/python3.12/dist-packages/PIL/__init__.py', submodule_search_locations=['/usr/local/lib/python3.12/dist-packages/PIL'])\npxr ModuleSpec(name='pxr', loader=<_frozen_importlib_external.SourceFileLoader object at 0x7b9638a61520>, origin='/usr/local/lib/python3.12/dist-packages/pxr/__init__.py', submodule_search_locations=['/usr/local/lib/python3.12/dist-packages/pxr'])\nmanifold3d None\ntotal 1072\ndr-xr-xr-x 2 actor actor 160 Oct 21 02:11 .\ndrwxr-xr-x 1 root root 56 Oct 21 02:11 ..\n-r--r--r-- 1 actor actor 1746 Oct 21 02:11 contract.md\n-r--r--r-- 1 actor actor 452 Oct 21 02:11 instruction.md\n-r--r--r-- 1 actor actor 3305 Oct 21 02:11 scoring-policy.json\n-r--r--r-- 1 actor actor 435 Oct 21 02:11 simready-bench-native-output-policy.ts\n-r--r--r-- 1 actor actor 1073722 Oct 21 02:11 thumbnail.png\n-r--r--r-- 1 actor actor 572 Oct 21 02:11 tool-docs.md",
+ "extra": {
+ "tool_name": "bash",
+ "is_error": false
+ }
+ }
+ ]
+ },
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+ "pi_total_tokens": 5184
+ }
+ },
+ "llm_call_count": 1,
+ "extra": {
+ "pi_event_id": "8a4959fa",
+ "pi_parent_id": "e5268833",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_0403f288a90f1152016ad81f51d7bc87d19b58a1c2f11aed73",
+ "response_model": null,
+ "stop_reason": "toolUse",
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+ }
+ },
+ {
+ "step_id": 6,
+ "timestamp": "2026-10-21T02:11:50.720Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "",
+ "reasoning_content": "**Evaluating validation requirements**\n\nI need to look into the validation requirements for the first candidate. My plan is to build an initial, high-quality version and then validate and fix it as needed. Right now, I have 64 turns to work with, but I\u2019ve only used 7, so there's no pressure yet. It might be helpful to have some sort of rendering preview tool since currently, I can only capture the validation output. Let\u2019s see what that entails!",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_j1Y5eHVTsUcFsmZ200BRwOiy|fc_0403f288a90f1152016ad81f66644087d19393a5c6fcf28f8f",
+ "function_name": "mcp",
+ "arguments": {
+ "describe": "benchmark_validate_candidate"
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_j1Y5eHVTsUcFsmZ200BRwOiy|fc_0403f288a90f1152016ad81f66644087d19393a5c6fcf28f8f",
+ "content": "benchmark_validate_candidate\nServer: benchmark\n\nValidate a frozen candidate and return NVIDIA findings. Each new request consumes one validation call. Repeating a request ID returns its existing result.\n\nShape:\n{ request_id: string; }",
+ "extra": {
+ "tool_name": "mcp",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
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+ "extra": {
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+ "reasoning_content": "**Exploring geometry integration**\n\nI\u2019m thinking about implementing pure NumPy for geometry, which sounds manageable. I wonder if I could use something like usdrecord for rendering. This seems like a solid approach, but I need to check if a renderer is readily available for that purpose. It\u2019s a bit of a puzzle, but I\u2019m excited to dive into it! Let me figure out the best way to make this integration work.",
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+ "timeout": 30
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+ "reasoning_content": "**Considering physics parameters**\n\nI'm thinking about whether the author should approach the kinematic and dynamic aspects separately, especially with fixed joints. It seems reasonable to keep the main rigid body dynamic enabled without a world joint. The main mass is 10.7 kg, with the cap being .06 kg and the valve .025 kg. The cap is located at the local center, specifically at front x = -0.081, with a radius of .033. That seems like a solid plan!\n**Examining valve dimensions**\n\nI'm looking at the valve's design, noting the recessed inner lip's projection changes from -.105 to -.125. The cylinder has a radius of .0046; it's black plastic with a shiny stem end. I need to ensure I'm using the lathe correctly along the x, y, and z axes\u2014from x -.119 to -.103 and tip -.124. \n\nI'll also need to render this for inspection, maybe using a simple software rasterizer with tools like Python and numpy for geometry checks. Maybe some OpenGL modules could come in handy too!",
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+ "command": "python - <<'PY'\nimport importlib.util\nfor s in ['OpenGL','moderngl','matplotlib','cv2','pyglet','torch']:\n print(s,importlib.util.find_spec(s))\nfrom pxr import Usd, Sdf\nprint([x for x in dir(Usd) if 'Version' in x])\nPY",
+ "timeout": 30
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+ "content": "OpenGL None\nmoderngl None\nmatplotlib None\ncv2 None\npyglet None\ntorch None\n['GetMajorVersion', 'GetMinorVersion', 'GetPatchVersion', 'GetVersion']",
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+ "path": "/tmp/build_wheel.py",
+ "content": "from pxr import Usd, UsdGeom, UsdShade, UsdPhysics, Gf, Sdf, Vt, Kind\nimport math, os, numpy as np\nOUT='/output/asset.usd'\nstage=Usd.Stage.CreateNew(OUT)\nUsdGeom.SetStageUpAxis(stage, UsdGeom.Tokens.z)\nUsdGeom.SetStageMetersPerUnit(stage,1.0)\nstage.SetStartTimeCode(0); stage.SetEndTimeCode(0)\nstage.SetTimeCodesPerSecond(24); stage.SetFramesPerSecond(24)\nroot=UsdGeom.Xform.Define(stage,'/Wheel').GetPrim()\nstage.SetDefaultPrim(root)\nUsd.ModelAPI(root).SetKind(Kind.Tokens.component)\nroot.SetAssetInfoByKey('name','Five spoke cast aluminium wheel')\nroot.SetAssetInfoByKey('identifier',Sdf.AssetPath('asset.usd'))\nroot.SetAssetInfoByKey('version','1.0')\nroot.SetCustomDataByKey('description','20 inch five-spoke cast alloy automotive rim, without tyre. Axial direction X. Single rigid casting, fitted center cap and valve.')\nroot.SetCustomDataByKey('dimensionsMeters',Gf.Vec3d(.25498659908771515,.5052737593650818,.5052788853645325))\nroot.SetCustomDataByKey('manufacturing','Cast aluminum alloy, machined bead flanges and painted metallic silver finish')\n\n# Labels are authored on semantic rigid-body roots.\ndef semantics(p, label):\n p.AddAppliedSchema('SemanticsAPI:class')\n p.CreateAttribute('semantics:class:semanticType',Sdf.ValueTypeNames.String).Set('class')\n p.CreateAttribute('semantics:class:semanticData',Sdf.ValueTypeNames.String).Set(label)\nsemantics(root,'wheel_rim')\n\nmaterials={}\ndef material(name,col,metal,rough):\n m=UsdShade.Material.Define(stage,'/Wheel/Looks/'+name)\n s=UsdShade.Shader.Define(stage,m.GetPath().AppendChild('PreviewSurface'))\n s.CreateIdAttr('UsdPreviewSurface')\n s.CreateInput('diffuseColor',Sdf.ValueTypeNames.Color3f).Set(Gf.Vec3f(*col))\n s.CreateInput('metallic',Sdf.ValueTypeNames.Float).Set(metal)\n s.CreateInput('roughness',Sdf.ValueTypeNames.Float).Set(rough)\n s.CreateInput('opacity',Sdf.ValueTypeNames.Float).Set(1.)\n s.CreateInput('ior',Sdf.ValueTypeNames.Float).Set(1.5)\n m.CreateSurfaceOutput().ConnectToSource(s.ConnectableAPI(),'surface')\n m.GetPrim().CreateAttribute('userProperties:materialName',Sdf.ValueTypeNames.String).Set(name)\n m.GetPrim().CreateAttribute('semantics:material:semanticType',Sdf.ValueTypeNames.String).Set('material')\n m.GetPrim().CreateAttribute('semantics:material:semanticData',Sdf.ValueTypeNames.String).Set('aluminum' if metal>.5 else 'rubber' if name=='ValveRubber' else 'plastic')\n materials[name]=m\n return m\nmaterial('CastSilver',(.56,.57,.59),.88,.285)\nmaterial('MachinedAluminium',(.66,.67,.69),.95,.21)\nmaterial('InnerSilver',(.45,.465,.48),.86,.33)\nmaterial('CapGraphite',(.105,.108,.112),.48,.28)\nmaterial('ValveRubber',(.016,.018,.020),.03,.44)\nmaterial('ValveMetal',(.40,.42,.44),.88,.24)\n\nbody=UsdGeom.Xform.Define(stage,'/Wheel/Alloy').GetPrim()\ncap=UsdGeom.Xform.Define(stage,'/Wheel/CenterCap').GetPrim()\nvalve=UsdGeom.Xform.Define(stage,'/Wheel/Valve').GetPrim()\ndef rigid(p,mass,diag):\n r=UsdPhysics.RigidBodyAPI.Apply(p)\n r.CreateRigidBodyEnabledAttr(True); r.CreateKinematicEnabledAttr(False)\n ma=UsdPhysics.MassAPI.Apply(p); ma.CreateMassAttr(mass)\n ma.CreateCenterOfMassAttr(Gf.Vec3f(0))\n ma.CreateDiagonalInertiaAttr(Gf.Vec3f(*diag))\n ma.CreatePrincipalAxesAttr(Gf.Quatf(1))\nrigid(body,10.4,(.395,.238,.238))\n# Put fixed attachments in their own local coordinates, with genuine fixed joints.\nCAP_X=-.0798\nUsdGeom.Xformable(cap).AddTranslateOp().Set(Gf.Vec3d(CAP_X,0,0))\nrigid(cap,.065,(.000038,.00002,.00002))\nva=math.radians(-83); vr=.228\nVALVE=np.array([-.109,vr*math.cos(va),vr*math.sin(va)])\nUsdGeom.Xformable(valve).AddTranslateOp().Set(Gf.Vec3d(*VALVE))\nrigid(valve,.024,(.00000025,.000001,.000001))\nsemantics(body,'alloy_wheel'); semantics(cap,'wheel_center_cap'); semantics(valve,'tire_valve')\n\ndef mesh(path,points,faces,mat='CastSilver',normals=None,collision=False):\n pts=np.asarray(points,dtype=float)\n m=UsdGeom.Mesh.Define(stage,path)\n m.CreatePointsAttr(Vt.Vec3fArray.FromNumpy(pts.astype(np.float32)))\n m.CreateFaceVertexCountsAttr([len(f) for f in faces]); flat=[int(i) for f in faces for i in f]\n m.CreateFaceVertexIndicesAttr(flat)\n m.CreateSubdivisionSchemeAttr('none'); m.CreateOrientationAttr('rightHanded')\n m.CreateDoubleSidedAttr(False)\n m.CreateExtentAttr([Gf.Vec3f(*pts.min(0)),Gf.Vec3f(*pts.max(0))])\n if normals is None:\n n=np.zeros_like(pts)\n for f in faces:\n p=pts[f]\n fn=np.zeros(3)\n for i in range(1,len(f)-1): fn+=np.cross(p[i]-p[0],p[i+1]-p[0])\n for v in f:n[v]+=fn\n leng=np.linalg.norm(n,axis=1); n/=np.maximum(leng[:,None],1e-15)\n else:n=np.array(normals)\n m.CreateNormalsAttr(Vt.Vec3fArray.FromNumpy(n.astype(np.float32)))\n m.SetNormalsInterpolation('vertex')\n # UVs on every render mesh, using the wheel's radial plane.\n if not collision:\n st=UsdGeom.PrimvarsAPI(m).CreatePrimvar('st',Sdf.ValueTypeNames.TexCoord2fArray,UsdGeom.Tokens.vertex)\n st.Set(Vt.Vec2fArray.FromNumpy((pts[:,[1,2]]/.51+.5).astype(np.float32)))\n UsdShade.MaterialBindingAPI.Apply(m.GetPrim()).Bind(materials[mat])\n else:\n m.CreateVisibilityAttr('invisible'); m.CreatePurposeAttr('guide')\n UsdPhysics.CollisionAPI.Apply(m.GetPrim()).CreateCollisionEnabledAttr(True)\n UsdPhysics.MeshCollisionAPI.Apply(m.GetPrim()).CreateApproximationAttr('convexHull')\n return m\n\n# Axisymmetric closed cross-sections. Profile order traces the outer skin from front to back,\n# then the inner skin from back to front; normals follow the right-handed winding.\ndef lathe(path,profile,mat='CastSilver',N=256,offset=(0,0,0)):\n P=[]; F=[]; off=np.array(offset)\n for x,r in profile:\n for j in range(N):\n a=2*math.pi*j/N\n P.append(np.array([x,r*math.cos(a),r*math.sin(a)])+off)\n for i in range(len(profile)):\n k=(i+1)%len(profile)\n for j in range(N):\n q=(j+1)%N\n F.append([i*N+j,i*N+q,k*N+q,k*N+j])\n return mesh(path,P,F,mat)\n\n# The complete deep barrel: rolled flanges, bead seats, smooth drop centre,\n# and the continuous inner surface of the casting.\nprofile=[(-.12749330,.2475),(-.1268,.2504),(-.1245,.25263688),(-.1215,.25263688),\n(-.1182,.2508),(-.1154,.2475),(-.1124,.2425),(-.1080,.2390),(-.099,.2373),\n(-.083,.2352),(-.045,.2314),(.005,.2305),(.049,.2325),(.085,.2360),\n(.101,.2384),(.1085,.2414),(.1131,.2454),(.1175,.2501),(.1218,.25263688),\n(.1249,.2518),(.12749330,.2489),(.12749330,.2447),(.1258,.2417),\n(.122,.2394),(.117,.2376),(.112,.2338),(.107,.2308),(.098,.2294),\n(.085,.2292),(.049,.2265),(.005,.2246),(-.045,.2256),(-.083,.2293),\n(-.100,.2312),(-.108,.2324),(-.113,.2340),(-.117,.2364),\n(-.1215,.2385),(-.1245,.2403),(-.12749330,.2433)]\nlathe('/Wheel/Alloy/Barrel',profile,'CastSilver',320)\n# Fine concentric machined steps at the front inner lip, not a separate moving part.\nlathe('/Wheel/Alloy/MachinedLip',[(-.1270,.2434),(-.1273,.2441),(-.1271,.2452),(-.1265,.2454),(-.1260,.2443),(-.1264,.2434)],'MachinedAluminium',320)\nlathe('/Wheel/Alloy/InnerBeadGroove',[(-.1168,.2363),(-.1177,.2369),(-.1182,.2377),(-.1175,.2381),(-.1162,.2375),(-.1159,.2367)],'InnerSilver',320)\n\n# Five dished, gently swept spokes. A rounded rectangular cross section is swept\n# from the thick hub into the barrel. Separate mesh pieces share one casting body.\nSPOKE0=math.radians(90)\ndef spoke_sections():\n # clockwise section around tangent/X rectangle; front is negative X.\n sec=[]\n # coordinates normalized in tangent width: exact front flat, filleted shoulders.\n # u is signed tangent position, h maps front(0) to back(1)\n sec=[(-.78,0),(-.45,0),(0,0),(.45,0),(.78,0),\n (.89,.018),(.965,.063),(1,.12),(1,.30),(1,.70),(1,.88),\n (.965,.937),(.89,.982),(.78,1),(.45,1),(0,1),(-.45,1),(-.78,1),\n (-.89,.982),(-.965,.937),(-1,.88),(-1,.70),(-1,.30),(-1,.12),(-.965,.063),(-.89,.018)]\n return sec\nsection=spoke_sections()\nfor k in range(5):\n P=[];F=[]\n nR=48; nS=len(section)\n for i in range(nR):\n t=i/(nR-1);r=.061+.178*t\n ang=SPOKE0+k*2*math.pi/5 + .080*math.sin(t*math.pi)-.095*t\n er=np.array([0,math.cos(ang),math.sin(ang)])\n et=np.array([0,-math.sin(ang),math.cos(ang)])\n width=.0475-.011*math.sin(math.pi*t)+.0015*t\n front=-.0780-.040*(t**1.55)\n thick=.032-.009*t\n for u,h in section:\n # A very slight cast crown on the broad front land.\n x=front+thick*h-.0010*(1-u*u)*(1-h)**5\n P.append(er*r+et*u*width/2+np.array([x,0,0]))\n for i in range(nR-1):\n for j in range(nS):\n q=(j+1)%nS\n F.append([i*nS+j,(i+1)*nS+j,(i+1)*nS+q,i*nS+q])\n # end caps hidden inside barrel and hub; winding outward\n F.append(list(range(nS-1,-1,-1)))\n F.append([(nR-1)*nS+j for j in range(nS)])\n # Winding checked below by signed volume before authoring.\n pp=np.array(P)\n vol=0.\n for f in F:\n for j in range(1,len(f)-1):vol+=np.dot(pp[f[0]],np.cross(pp[f[j]],pp[f[j+1]]))/6\n if vol<0:F=[list(reversed(f)) for f in F]\n mesh('/Wheel/Alloy/Spoke_%02d'%(k+1),P,F)\n\n# The hub plate is constructed as five watertight sectors surrounding real\n# countersunk lug bores. No black disks are used to fake the five holes.\n# At each sector, rays from the lug center meet a star-shaped outer boundary.\nRIN=.0338; ROUT=.084; LUGR=.0565\nfor k in range(5):\n ca=SPOKE0+(k+.5)*2*math.pi/5\n half=math.pi/5\n boundary=[]\n # CCW planar boundary outer arc -> upper radial -> inner arc -> lower radial.\n for j in range(41):\n a=ca-half+2*half*j/40\n rr=.0805+.0040*math.cos(5*(a-SPOKE0))\n boundary.append(np.array([rr*math.cos(a),rr*math.sin(a)]))\n a=ca+half\n for j in range(1,17):\n r=.0845+(RIN-.0845)*j/16\n boundary.append(np.array([r*math.cos(a),r*math.sin(a)]))\n for j in range(1,31):\n a=ca+half-2*half*j/30\n boundary.append(np.array([RIN*math.cos(a),RIN*math.sin(a)]))\n a=ca-half\n for j in range(1,16):\n r=RIN+(.0845-RIN)*j/16\n boundary.append(np.array([r*math.cos(a),r*math.sin(a)]))\n B=np.array(boundary); H=np.array([LUGR*math.cos(ca),LUGR*math.sin(ca)])\n D=B-H; D=D/np.linalg.norm(D,axis=1)[:,None]\n P=[];F=[];nb=len(B)\n # Front land, rounded counterbore, tapered seat, bore wall, back land.\n # All loops connect in a closed donut-shaped section.\n loops=[]\n for t in [0,.20,.45,.70,1]:\n yz=(1-t)*B+t*(H+.0145*D)\n rr=np.linalg.norm(yz,axis=1)\n x=-.0782-.0008*np.maximum(0,(rr-.035)/.05)\n loops.append((yz,x))\n loops.append((H+.0137*D,np.full(nb,-.0775)))\n loops.append((H+.0116*D,np.full(nb,-.0735)))\n loops.append((H+.0080*D,np.full(nb,-.0620)))\n loops.append((H+.0075*D,np.full(nb,-.0595)))\n loops.append((H+.0075*D,np.full(nb,-.0320)))\n loops.append((H+.0082*D,np.full(nb,-.0308)))\n for t in [0,.35,.70,1]:\n yz=(1-t)*(H+.0082*D)+t*B\n loops.append((yz,np.full(nb,-.0300)))\n for yz,x in loops:\n for j in range(nb):P.append([x[j],yz[j,0],yz[j,1]])\n for i in range(len(loops)):\n ip=(i+1)%len(loops)\n for j in range(nb):\n q=(j+1)%nb\n F.append([i*nb+j,ip*nb+j,ip*nb+q,i*nb+q])\n # Ring normal orientation can be verified via signed volume.\n pp=np.array(P);vol=0\n for f in F:\n for j in range(1,len(f)-1):vol+=np.dot(pp[f[0]],np.cross(pp[f[j]],pp[f[j+1]]))/6\n if vol<0:F=[list(reversed(f)) for f in F]\n mesh('/Wheel/Alloy/HubSector_%02d'%(k+1),P,F)\n# Rear axle register and contact pad. Central axle clearance is open all through.\nlathe('/Wheel/Alloy/RearMountingPad',[(-.031,.052),(-.027,.0555),(.014,.0555),(.022,.054),(.026,.051),(.026,.0340),(.022,.0338),(-.031,.0338)],'InnerSilver',192)\n# Smooth concentric socket for the snap-in badge.\nlathe('/Wheel/Alloy/CapSeat',[(-.0796,.0338),(-.0799,.0346),(-.0788,.0353),(-.0760,.0353),(-.075,.0338)],'MachinedAluminium',192)\n\n# Center cap with rolled bright perimeter and a gently convex dark unbranded face.\nlathe('/Wheel/CenterCap/BrightRim',[(-.0020,.0308),(-.0026,.0320),(-.0018,.0333),(-.0006,.0337),(.0013,.0335),(.0026,.0327),(.0026,.0308)],'MachinedAluminium',192)\n# A disk with concentric face rings, outward-facing front triangles and back cap.\ndef cap_disk():\n N=192; P=[[-.0034,0,0]];F=[]\n rings=[(.012,-.0033),(.024,-.0030),(.0308,-.0025),(.0318,-.0016),(.0318,.0020)]\n for r,x in rings:\n for j in range(N):a=j*2*math.pi/N;P.append([x,r*math.cos(a),r*math.sin(a)])\n for j in range(N):F.append([0,1+(j+1)%N,1+j])\n for k in range(len(rings)-1):\n for j in range(N):\n q=(j+1)%N;F.append([1+k*N+j,1+k*N+q,1+(k+1)*N+q,1+(k+1)*N+j])\n F.append([1+(len(rings)-1)*N+j for j in range(N)])\n mesh('/Wheel/CenterCap/Face',P,F,'CapGraphite')\ncap_disk()\n# A recessed inflation valve is part of the observed wheel, not an axle joint.\nlathe('/Wheel/Valve/RubberStem',[(-.0130,.0039),(-.0125,.0047),(-.009,.0049),(.002,.0049),(.004,.0062),(.006,.0062),(.007,.0043),(.007,.0021),(-.013,.0021)],'ValveRubber',96)\nlathe('/Wheel/Valve/TipRim',[(-.014,.0032),(-.0144,.0038),(-.0138,.0040),(-.0125,.0040),(-.012,.0033)],'ValveMetal',96)\n# The open end is dark inside with a tiny pin well rather than an overlarge cap.\nlathe('/Wheel/Valve/TipInterior',[(-.0140,.0031),(-.0139,.0033),(-.009,.0033),(-.009,.0005),(-.010,.0005),(-.010,.0031)],'ValveRubber',64)\n\n# Collision meshes are deliberately separate convex pieces so the wheel's\n# central bore and large open windows are not filled by a single convex hull.\nUsdGeom.Scope.Define(stage,'/Wheel/Alloy/Colliders')\ndef wedge(path,x0,x1,r0,r1,a0,a1):\n P=[]\n for x in [x0,x1]:\n for r in [r0,r1]:\n for a in [a0,a1]:P.append([x,r*math.cos(a),r*math.sin(a)])\n F=[[0,1,3,2],[4,6,7,5],[0,4,5,1],[2,3,7,6],[0,2,6,4],[1,5,7,3]]\n return mesh(path,P,F,collision=True)\nfor k in range(48):\n a0=2*math.pi*k/48;a1=2*math.pi*(k+1)/48\n wedge('/Wheel/Alloy/Colliders/Barrel_%02d'%k,-.116,.116,.229,.241,a0,a1)\n wedge('/Wheel/Alloy/Colliders/FrontFlange_%02d'%k,-.1274,-.115,.239,.2525,a0,a1)\n wedge('/Wheel/Alloy/Colliders/RearFlange_%02d'%k,.115,.1274,.238,.2525,a0,a1)\nfor k in range(5):\n a=SPOKE0+2*math.pi*k/5\n # One tapered convex collision hull per spoke.\n P=[]\n for r,half,front,back in [(.059,.029,-.080,-.043),(.239,.025,-.118,-.092)]:\n for x in [front,back]:\n for s in [-1,1]:P.append([x,r*math.cos(a)-s*half*math.sin(a),r*math.sin(a)+s*half*math.cos(a)])\n mesh('/Wheel/Alloy/Colliders/Spoke_%02d'%k,P,[[0,1,3,2],[4,6,7,5],[0,4,5,1],[2,3,7,6],[0,2,6,4],[1,5,7,3]],collision=True)\nfor k in range(20):\n wedge('/Wheel/Alloy/Colliders/Hub_%02d'%k,-.078,.025,.034,.070,2*math.pi*k/20,2*math.pi*(k+1)/20)\nwedge('/Wheel/CenterCap/Collider',-.004,.004,0,.0336,0,math.pi) # replaced below with full cylinder collider\nstage.RemovePrim('/Wheel/CenterCap/Collider')\n# Convex cylinders for cap and valve.\ndef cylinder_collision(path,r,x0,x1,N=32):\n P=[]\n for x in [x0,x1]:\n for j in range(N):a=2*math.pi*j/N;P.append([x,r*math.cos(a),r*math.sin(a)])\n F=[list(range(N-1,-1,-1)),list(range(N,2*N))]\n for j in range(N):q=(j+1)%N;F.append([j,q,N+q,N+j])\n mesh(path,P,F,collision=True)\ncylinder_collision('/Wheel/CenterCap/Collider',.0335,-.0034,.003)\ncylinder_collision('/Wheel/Valve/Collider',.005,-.014,.007)\nUsdGeom.Scope.Define(stage,'/Wheel/Joints')\nfor name,part,pos in [('CapFixed',cap,(CAP_X,0,0)),('ValveFixed',valve,VALVE)]:\n j=UsdPhysics.FixedJoint.Define(stage,'/Wheel/Joints/'+name)\n j.CreateBody0Rel().SetTargets([body.GetPath()]);j.CreateBody1Rel().SetTargets([part.GetPath()])\n j.CreateLocalPos0Attr(Gf.Vec3f(*pos));j.CreateLocalPos1Attr(Gf.Vec3f(0))\n j.CreateLocalRot0Attr(Gf.Quatf(1));j.CreateLocalRot1Attr(Gf.Quatf(1))\n j.CreateJointEnabledAttr(True);j.CreateCollisionEnabledAttr(False)\n# Useful documentation without introducing scene cameras or lights.\nroot.CreateAttribute('userProperties:category',Sdf.ValueTypeNames.String).Set('automotive wheel rim')\nroot.CreateAttribute('userProperties:material',Sdf.ValueTypeNames.String).Set('aluminum alloy')\nroot.CreateAttribute('userProperties:axis',Sdf.ValueTypeNames.String).Set('X')\nroot.CreateAttribute('userProperties:nominalDiameter',Sdf.ValueTypeNames.Float).Set(.5052789)\nroot.CreateAttribute('userProperties:nominalWidth',Sdf.ValueTypeNames.Float).Set(.2549866)\nstage.GetRootLayer().Save()\nprint('Saved',OUT,'prims',len(list(stage.Traverse())))\n# Bounds and geometry sanity.\ncache=UsdGeom.BBoxCache(0,['default','render'])\nbb=cache.ComputeWorldBound(root).ComputeAlignedRange()\nprint('BOUNDS',bb,'dimensions',bb.GetSize())\nprint('Meshes',sum(1 for p in stage.Traverse() if p.IsA(UsdGeom.Mesh)))\n"
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+ "results": [
+ {
+ "source_call_id": "call_QMkqTha7pK1y2NX5njsSaGXb|fc_0403f288a90f1152016ad82020acc887d1b845f0e169deca26",
+ "content": "\ndict_keys(['asset_path', 'asset_sha256', 'engine_dispatch_completed', 'features_summary', 'infos', 'infrastructure_errors', 'inventory', 'issues', 'logs', 'outcome', 'passed', 'profile_id', 'profile_version', 'rule_execution', 'soft_issues', 'warnings'])\n{\n \"asset_path\": \"/output/asset.usd\",\n \"asset_sha256\": \"91e236f39b9ec028d8eb313a28c54616c079682376c9e819c251ac426a804663\",\n \"engine_dispatch_completed\": true,\n \"features_summary\": {\n \"FET_000_MUJOCO\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[{'FET_000_STANDARD': {'version': '0.1.0'}}]\",\n \"optional requirements\": \"['com.nvidia.simready.NP.006', 'com.nvidia.simready.RV.007', 'com.nvidia.simready.SR.001']\",\n \"passed\": false,\n \"version\": \"0.1.0\"\n },\n \"FET_000_NEWTON\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[{'FET_000_STANDARD': {'version': '0.1.0'}}]\",\n \"optional requirements\": \"['com.nvidia.simready.NP.006', 'com.nvidia.simready.RV.004', 'com.nvidia.simready.SR.001']\",\n \"passed\": false,\n \"version\": \"0.1.0\"\n },\n \"FET_000_PHYSX\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[{'FET_000_STANDARD': {'version': '0.1.0'}}]\",\n \"optional requirements\": \"['com.nvidia.simready.NP.006', 'com.nvidia.simready.RV.001', 'com.nvidia.simready.SR.001']\",\n \"passed\": false,\n \"version\": \"0.1.0\"\n },\n \"FET_000_STANDARD\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[]\",\n \"optional requirements\": \"['com.nvidia.simready.NP.006', 'com.nvidia.simready.SR.001']\",\n \"passed\": false,\n \"version\": \"0.2.0\"\n },\n \"FET_001_STANDARD\": {\n \"blocking_failure\": true,\n \"dependencies\": \"[]\",\n \"failing requirements\": \"['com.nvidia.usd.AA.001']\",\n \"passed\": false,\n \"requirement_messages\": \"{\\\"com.nvidia.usd.AA.001\\\": [\\\"Dependent Reference \\\\\\\"asset.usd\\\\\\\" should begin with \\\\\\\"./\\\\\\\" or \\\\\\\"../\\\\\\\".\\\"]}\",\n \"version\": \"1.0.1\"\n },\n \"FET_003_MUJOCO\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[]\",\n \"optional requirements\": \"['com.nvidia.simready.MUJOCO.COL.001']\",\n \"passed\": false,\n \"version\": \"0.1.0\"\n },\n \"FET_003_NEWTON\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[]\",\n \"optional requirements\": \"['com.nvidia.simready.NEWTON.COL.001']\",\n \"passed\": false,\n \"version\": \"0.1.0\"\n },\n \"FET_003_PHYSX\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[]\",\n \"passed\": true,\n \"version\": \"0.4.0\"\n },\n \"FET_003_STANDARD\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[]\",\n \"passed\": true,\n \"version\": \"0.2.0\"\n },\n \"FET_004_MUJOCO\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[{'FET_003_MUJOCO': {'version': '0.1.0'}}]\",\n \"optional requirements\": \"['com.nvidia.simready.MUJOCO.COL.001']\",\n \"passed\": false,\n \"version\": \"0.1.0\"\n },\n \"FET_004_NEWTON\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[{'FET_003_NEWTON': {'version': '0.1.0'}}]\",\n \"optional requirements\": \"['com.nvidia.simready.NEWTON.COL.001']\",\n \"passed\": false,\n \"version\": \"0.1.0\"\n },\n \"FET_004_PHYSX\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[{'FET_003_PHYSX': {'version': '0.4.0'}}]\",\n \"passed\": true,\n \"version\": \"0.4.0\"\n },\n \"FET_004_STANDARD\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[{'FET_003_STANDARD': {'version': '0.2.0'}}]\",\n \"passed\": true,\n \"version\": \"0.2.0\"\n },\n \"FET_005_STANDARD\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[]\",\n \"optional requirements\": \"['com.nvidia.simready.GSP.001', 'com.nvidia.simready.PMT.001']\",\n \"passed\": false,\n \"version\": \"0.1.0\"\n },\n \"FET_006_MDL\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[]\",\n \"optional requirements\": \"['com.nvidia.simready.VM.MDL.003']\",\n \"passed\": false,\n \"version\": \"0.2.0\"\n },\n \"FET_006_OPENPBR\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[]\",\n \"optional requirements\": \"['com.nvidia.simready.VM.PBR.001']\",\n \"passed\": false,\n \"version\": \"0.1.0\"\n },\n \"FET_006_STANDARD\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[]\",\n \"passed\": true,\n \"version\": \"0.2.0\"\n },\n \"FET_007_STANDARD\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[]\",\n \"optional requirements\": \"['com.nvidia.simready.NVM.001', 'com.nvidia.simready.NVM.002', 'com.nvidia.simready.NVM.003']\",\n \"passed\": false,\n \"version\": \"0.2.0\"\n },\n \"FET_010_STANDARD\": {\n \"blocking_failure\": false,\n \"dependencies\": \"[]\",\n \"optional requirements\": \"['com.nvidia.simready.DISP.001']\",\n \"passed\": false,\n \"version\": \"0.1.0\"\n },\n \"FET_011_RTX\": {\n \"blocking_failure\": true,\n \"dependencies\": \"[{'FET_011_STANDARD': {'version': '0.2.0'}}]\",\n \"failing requirements\": \"['com.nvidia.simready.SL.001', 'com.nvidia.simready.SL.MAT.001']\",\n \"passed\": false,\n \"requirement_messages\": \"{\\\"com.nvidia.simready.SL.001\\\": [\\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\"], \\\"com.nvidia.simready.SL.MAT.001\\\": [\\\"Unlabeled material: a Material prim must have 'SemanticsLabelsAPI:material' applied with a non-empty 'semantics:labels:material' value.\\\", \\\"Unlabeled material: a Material prim must have 'SemanticsLabelsAPI:material' applied with a non-empty 'semantics:labels:material' value.\\\", \\\"Unlabeled material: a Material prim must have 'SemanticsLabelsAPI:material' applied with a non-empty 'semantics:labels:material' value.\\\", \\\"Unlabeled material: a Material prim must have 'SemanticsLabelsAPI:material' applied with a non-empty 'semantics:labels:material' value.\\\", \\\"Unlabeled material: a Material prim must have 'SemanticsLabelsAPI:material' applied with a non-empty 'semantics:labels:material' value.\\\", \\\"Unlabeled material: a Material prim must have 'SemanticsLabelsAPI:material' applied with a non-empty 'semantics:labels:material' value.\\\"]}\",\n \"version\": \"0.1.0\"\n },\n \"FET_011_STANDARD\": {\n \"blocking_failure\": true,\n \"dependencies\": \"[]\",\n \"failing requirements\": \"['com.nvidia.simready.SL.001']\",\n \"passed\": false,\n \"requirement_messages\": \"{\\\"com.nvidia.simready.SL.001\\\": [\\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\\\", \\\"Unlabeled prim: no SemanticsLabelsAPI s",
+ "extra": {
+ "tool_name": "bash",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
+ "prompt_tokens": 17635,
+ "completion_tokens": 109,
+ "cached_tokens": 15950,
+ "extra": {
+ "cache_write_tokens": 1682,
+ "reasoning_tokens": 0,
+ "pi_total_tokens": 17744
+ }
+ },
+ "llm_call_count": 1,
+ "extra": {
+ "pi_event_id": "6d375183",
+ "pi_parent_id": "97ebfb82",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_0403f288a90f1152016ad8201f215087d1975ee3a02225c97a",
+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ },
+ {
+ "step_id": 15,
+ "timestamp": "2026-10-21T02:15:01.760Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_2Tzyal2iL4dPRZzAiYOilwBJ|fc_0403f288a90f1152016ad82024452487d191f90f9ea1c81199",
+ "function_name": "bash",
+ "arguments": {
+ "command": "python - <<'PY'\nimport json\nx=json.load(open('/tmp/simready-validation-reports/a71094897a03ea023e8722b1c24c5d013a247001b9931e76de56d07fac69d466.json'))\nfor i in x['issues']:\n print(json.dumps(i,indent=2))\nPY",
+ "timeout": 30
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_2Tzyal2iL4dPRZzAiYOilwBJ|fc_0403f288a90f1152016ad82024452487d191f90f9ea1c81199",
+ "content": "{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"message\": \"No thumbnail found at /output/.thumbs/256x256/asset.usd.png for SimReady asset \",\n \"prim_path\": null,\n \"requirement_version\": \"0.1.0\",\n \"rule\": \"simready.foundation.tier_core.capabilities.core.sim_ready.validation.ThumbnailExists\",\n \"rule_id\": \"com.nvidia.simready.SR.002\",\n \"severity\": \"failure\",\n \"suggestions\": []\n}\n{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"message\": \"Required metadata fields are missing: author, asset_name, asset_type, asset_license, category, source_file, usd_date_generated, qcode, rigid_body_count, asset_extents, mass. Fields may be authored in root-layer customLayerData (including SimReady_Metadata) and/or the same-directory sidecar JSON.\",\n \"prim_path\": null,\n \"requirement_version\": \"0.1.0\",\n \"rule\": \"simready.foundation.tier_core.capabilities.core.sim_ready.validation.MetadataUnion\",\n \"rule_id\": \"com.nvidia.simready.SR.004\",\n \"severity\": \"failure\",\n \"suggestions\": []\n}\n{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"PrimId(stage_id=StageId(root_layer=LayerId(identifier='/output/asset.usd')), path=/Wheel/Alloy/Barrel)\",\n \"message\": \"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\",\n \"prim_path\": \"/Wheel/Alloy/Barrel\",\n \"requirement_version\": \"0.1.0\",\n \"rule\": \"simready.foundation.tier_core.capabilities.semantic_labels.validation.SemanticLabelsCapabilityChecker\",\n \"rule_id\": \"com.nvidia.simready.SL.001\",\n \"severity\": \"failure\",\n \"suggestions\": []\n}\n{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"PrimId(stage_id=StageId(root_layer=LayerId(identifier='/output/asset.usd')), path=/Wheel/Alloy/MachinedLip)\",\n \"message\": \"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\",\n \"prim_path\": \"/Wheel/Alloy/MachinedLip\",\n \"requirement_version\": \"0.1.0\",\n \"rule\": \"simready.foundation.tier_core.capabilities.semantic_labels.validation.SemanticLabelsCapabilityChecker\",\n \"rule_id\": \"com.nvidia.simready.SL.001\",\n \"severity\": \"failure\",\n \"suggestions\": []\n}\n{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"PrimId(stage_id=StageId(root_layer=LayerId(identifier='/output/asset.usd')), path=/Wheel/Alloy/InnerBeadGroove)\",\n \"message\": \"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\",\n \"prim_path\": \"/Wheel/Alloy/InnerBeadGroove\",\n \"requirement_version\": \"0.1.0\",\n \"rule\": \"simready.foundation.tier_core.capabilities.semantic_labels.validation.SemanticLabelsCapabilityChecker\",\n \"rule_id\": \"com.nvidia.simready.SL.001\",\n \"severity\": \"failure\",\n \"suggestions\": []\n}\n{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"PrimId(stage_id=StageId(root_layer=LayerId(identifier='/output/asset.usd')), path=/Wheel/Alloy/Spoke_01)\",\n \"message\": \"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\",\n \"prim_path\": \"/Wheel/Alloy/Spoke_01\",\n \"requirement_version\": \"0.1.0\",\n \"rule\": \"simready.foundation.tier_core.capabilities.semantic_labels.validation.SemanticLabelsCapabilityChecker\",\n \"rule_id\": \"com.nvidia.simready.SL.001\",\n \"severity\": \"failure\",\n \"suggestions\": []\n}\n{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"PrimId(stage_id=StageId(root_layer=LayerId(identifier='/output/asset.usd')), path=/Wheel/Alloy/Spoke_02)\",\n \"message\": \"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\",\n \"prim_path\": \"/Wheel/Alloy/Spoke_02\",\n \"requirement_version\": \"0.1.0\",\n \"rule\": \"simready.foundation.tier_core.capabilities.semantic_labels.validation.SemanticLabelsCapabilityChecker\",\n \"rule_id\": \"com.nvidia.simready.SL.001\",\n \"severity\": \"failure\",\n \"suggestions\": []\n}\n{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"PrimId(stage_id=StageId(root_layer=LayerId(identifier='/output/asset.usd')), path=/Wheel/Alloy/Spoke_03)\",\n \"message\": \"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\",\n \"prim_path\": \"/Wheel/Alloy/Spoke_03\",\n \"requirement_version\": \"0.1.0\",\n \"rule\": \"simready.foundation.tier_core.capabilities.semantic_labels.validation.SemanticLabelsCapabilityChecker\",\n \"rule_id\": \"com.nvidia.simready.SL.001\",\n \"severity\": \"failure\",\n \"suggestions\": []\n}\n{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"PrimId(stage_id=StageId(root_layer=LayerId(identifier='/output/asset.usd')), path=/Wheel/Alloy/Spoke_04)\",\n \"message\": \"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\",\n \"prim_path\": \"/Wheel/Alloy/Spoke_04\",\n \"requirement_version\": \"0.1.0\",\n \"rule\": \"simready.foundation.tier_core.capabilities.semantic_labels.validation.SemanticLabelsCapabilityChecker\",\n \"rule_id\": \"com.nvidia.simready.SL.001\",\n \"severity\": \"failure\",\n \"suggestions\": []\n}\n{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"PrimId(stage_id=StageId(root_layer=LayerId(identifier='/output/asset.usd')), path=/Wheel/Alloy/Spoke_05)\",\n \"message\": \"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\",\n \"prim_path\": \"/Wheel/Alloy/Spoke_05\",\n \"requirement_version\": \"0.1.0\",\n \"rule\": \"simready.foundation.tier_core.capabilities.semantic_labels.validation.SemanticLabelsCapabilityChecker\",\n \"rule_id\": \"com.nvidia.simready.SL.001\",\n \"severity\": \"failure\",\n \"suggestions\": []\n}\n{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"PrimId(stage_id=StageId(root_layer=LayerId(identifier='/output/asset.usd')), path=/Wheel/Alloy/HubSector_01)\",\n \"message\": \"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\",\n \"prim_path\": \"/Wheel/Alloy/HubSector_01\",\n \"requirement_version\": \"0.1.0\",\n \"rule\": \"simready.foundation.tier_core.capabilities.semantic_labels.validation.SemanticLabelsCapabilityChecker\",\n \"rule_id\": \"com.nvidia.simready.SL.001\",\n \"severity\": \"failure\",\n \"suggestions\": []\n}\n{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"PrimId(stage_id=StageId(root_layer=LayerId(identifier='/output/asset.usd')), path=/Wheel/Alloy/HubSector_02)\",\n \"message\": \"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\",\n \"prim_path\": \"/Wheel/Alloy/HubSector_02\",\n \"requirement_version\": \"0.1.0\",\n \"rule\": \"simready.foundation.tier_core.capabilities.semantic_labels.validation.SemanticLabelsCapabilityChecker\",\n \"rule_id\": \"com.nvidia.simready.SL.001\",\n \"severity\": \"failure\",\n \"suggestions\": []\n}\n{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"PrimId(stage_id=StageId(root_layer=LayerId(identifier='/output/asset.usd')), path=/Wheel/Alloy/HubSector_03)\",\n \"message\": \"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\",\n \"prim_path\": \"/Wheel/Alloy/HubSector_03\",\n \"requirement_version\": \"0.1.0\",\n \"rule\": \"simready.foundation.tier_core.capabilities.semantic_labels.validation.SemanticLabelsCapabilityChecker\",\n \"rule_id\": \"com.nvidia.simready.SL.001\",\n \"severity\": \"failure\",\n \"suggestions\": []\n}\n{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"PrimId(stage_id=StageId(root_layer=LayerId(identifier='/output/asset.usd')), path=/Wheel/Alloy/HubSector_04)\",\n \"message\": \"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\",\n \"prim_path\": \"/Wheel/Alloy/HubSector_04\",\n \"requirement_version\": \"0.1.0\",\n \"rule\": \"simready.foundation.tier_core.capabilities.semantic_labels.validation.SemanticLabelsCapabilityChecker\",\n \"rule_id\": \"com.nvidia.simready.SL.001\",\n \"severity\": \"failure\",\n \"suggestions\": []\n}\n{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"PrimId(stage_id=StageId(root_layer=LayerId(identifier='/output/asset.usd')), path=/Wheel/Alloy/HubSector_05)\",\n \"message\": \"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\",\n \"prim_path\": \"/Wheel/Alloy/HubSector_05\",\n \"requirement_version\": \"0.1.0\",\n \"rule\": \"simready.foundation.tier_core.capabilities.semantic_labels.validation.SemanticLabelsCapabilityChecker\",\n \"rule_id\": \"com.nvidia.simready.SL.001\",\n \"severity\": \"failure\",\n \"suggestions\": []\n}\n{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"PrimId(stage_id=StageId(root_layer=LayerId(identifier='/output/asset.usd')), path=/Wheel/Alloy/RearMountingPad)\",\n \"message\": \"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\",\n \"prim_path\": \"/Wheel/Alloy/RearMountingPad\",\n \"requirement_version\": \"0.1.0\",\n \"rule\": \"simready.foundation.tier_core.capabilities.semantic_labels.validation.SemanticLabelsCapabilityChecker\",\n \"rule_id\": \"com.nvidia.simready.SL.001\",\n \"severity\": \"failure\",\n \"suggestions\": []\n}\n{\n \"asset\": \"StageId(root_layer=LayerId(identifier='/output/asset.usd'))\",\n \"location\": \"PrimId(stage_id=StageId(root_layer=LayerId(identifier='/output/asset.usd')), path=/Wheel/Alloy/CapSeat)\",\n \"message\": \"Unlabeled prim: no SemanticsLabelsAPI semantics found on the prim, its ancestors, its bound material, or its GeomSubsets.\",\n 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+ "content": "import numpy as np, math, sys, os\nfrom PIL import Image\nfrom pxr import Usd, UsdGeom, UsdShade, Gf\nS=int(sys.argv[2]) if len(sys.argv)>2 else 800\nout=sys.argv[1] if len(sys.argv)>1 else '/tmp/wheel_preview.png'\nst=Usd.Stage.Open('/output/asset.usd')\neye=np.array([-1.15,-.92,.60]); eye/=np.linalg.norm(eye)\nif len(sys.argv)>3:\n eye=np.array([float(x) for x in sys.argv[3].split(',')]);eye/=np.linalg.norm(eye)\nright=np.cross(-eye,[0,0,1.]);right/=np.linalg.norm(right)\nup=np.cross(eye,right)\nrot=np.stack([right,up,eye],axis=1)\n# objects and bounds\nobjects=[]\nallp=[]\nfor p in st.Traverse():\n if not p.IsA(UsdGeom.Mesh):continue\n m=UsdGeom.Mesh(p)\n if m.ComputeVisibility()=='invisible':continue\n P=np.array(m.GetPointsAttr().Get(),dtype=float)\n trans=UsdGeom.Xformable(p).ComputeLocalToWorldTransform(0)\n P=np.array([trans.Transform(Gf.Vec3d(*v)) for v in P])\n N=np.array(m.GetNormalsAttr().Get(),float)\n inds=np.array(m.GetFaceVertexIndicesAttr().Get(),int); counts=np.array(m.GetFaceVertexCountsAttr().Get(),int)\n mat=UsdShade.MaterialBindingAPI(p).ComputeBoundMaterial()[0]\n sh=UsdShade.Shader(st.GetPrimAtPath(mat.GetPath().AppendChild('PreviewSurface')))\n col=np.array(sh.GetInput('diffuseColor').Get());met=float(sh.GetInput('metallic').Get());rough=float(sh.GetInput('roughness').Get())\n objects.append((P,N,inds,counts,col,met,rough));allp.extend(P@rot)\nallp=np.array(allp);lo=allp.min(0);hi=allp.max(0)\nscale=.86*S/max(hi[0]-lo[0],hi[1]-lo[1]);mid=(lo+hi)/2\nbuf=np.full((S,S),-999.); nbuf=np.zeros((S,S,3));cbuf=np.zeros((S,S,3));mbuf=np.zeros((S,S));rbuf=np.zeros((S,S));pbuf=np.zeros((S,S,3))\nfor P,N,inds,counts,col,metal,rough in objects:\n Q=P@rot;Q[:,:2]=(Q[:,:2]-mid[:2])*scale+S/2;Q[:,1]=S-Q[:,1]\n offs=0\n for c in counts:\n face=inds[offs:offs+c];offs+=c\n for k in range(1,c-1):\n ids=face[[0,k,k+1]];q=Q[ids];nn=N[ids];pp=P[ids]\n # back-face culling based on geometric orientation\n if np.dot(np.cross(pp[1]-pp[0],pp[2]-pp[0]),eye)<=0:continue\n minx=max(0,int(math.floor(q[:,0].min())));maxx=min(S-1,int(math.ceil(q[:,0].max())))\n miny=max(0,int(math.floor(q[:,1].min())));maxy=min(S-1,int(math.ceil(q[:,1].max())))\n if maxx=-1e-7)&(b>=-1e-7)&(cc>=-1e-7)&(z>old)\n if not mask.any():continue\n old[mask]=z[mask]\n ns=a[...,None]*nn[0]+b[...,None]*nn[1]+cc[...,None]*nn[2]\n ps=a[...,None]*pp[0]+b[...,None]*pp[1]+cc[...,None]*pp[2]\n nbuf[miny:maxy+1,minx:maxx+1][mask]=ns[mask]\n pbuf[miny:maxy+1,minx:maxx+1][mask]=ps[mask]\n cbuf[miny:maxy+1,minx:maxx+1][mask]=col\n mbuf[miny:maxy+1,minx:maxx+1][mask]=metal\n rbuf[miny:maxy+1,minx:maxx+1][mask]=rough\nN=nbuf/np.maximum(np.linalg.norm(nbuf,axis=2)[...,None],1e-8)\nmask=buf>-990\nV=eye\nR=2*np.sum(N*V,axis=2)[...,None]*N-V\n# Broad reflected photographic soft boxes: a key high above left and a long right card.\nres=np.zeros_like(cbuf)\nambient=.15+.16*np.maximum(N[:,:,2],0)\nres+=cbuf*ambient[...,None]\nfor L,intensity,size in [(np.array([-.8,-.7,1.3]),.65,.35),(np.array([.1,.9,1.]),.6,.25),(np.array([-1.,.5,.4]),.45,.15)]:\n L=L/np.linalg.norm(L)\n diff=np.maximum(N@L,0)\n spec=np.exp(-(1-np.clip(R@L,-1,1))/(size*(rbuf+.12)))\n res+=cbuf*diff[...,None]*intensity*(1-.55*mbuf[...,None])\n res+=(.04*(1-mbuf[...,None])+cbuf*mbuf[...,None])*spec[...,None]*intensity\n# simple depth-based ambient occlusion, preserving silhouette\noccl=np.zeros((S,S))\nfor dy,dx in [(0,4),(4,0),(0,-4),(-4,0),(7,7),(-7,7),(7,-7),(-7,-7),(0,12),(12,0),(-12,0),(0,-12)]:\n neighbor=np.roll(np.roll(buf,dy,0),dx,1)\n dz=neighbor-buf\n occl+=((dz>.001)&(dz<.10)).astype(float)\nres*=np.exp(-.08*occl)[...,None]\nbg=np.ones((S,S,3))*.045\nxx,yy=np.meshgrid(np.arange(S),np.arange(S));bg*= (1-.25*((xx-S/2)**2+(yy-S/2)**2)/(S*S))[...,None]\nbg[mask]=res[mask]\nimg=(np.clip(bg,0,1)**(1/2.2)*255).astype(np.uint8)\nImage.fromarray(img).save(out)\nprint(out)\n"
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+ "message": "The first NVIDIA check passed 41 of 46 mandatory requirements. The failures concern semantic labels, asset metadata, the thumbnail, and an unanchored asset path. The geometry preview also exposed seams where the spokes meet the hub, so I\u2019ll refine those surfaces while repairing the validation issues.",
+ "reasoning_content": "**Revising wheel design**\n\nI see that the current wheel render looks awkward because the spokes seem to terminate on top of the hub. To fix this, I need to integrate the hub into the spokes with continuous profiling. I could create a unified face for the hub and spokes using sector boundary data. Each sector can include a spoke, and I can construct five sectors to ensure that the design aligns smoothly, with attention to the outer boundary and radial extensions to create a star-like shape.\n\n**Refining spoke design**\n\nI\u2019m considering the hole center between the spokes and how the boundary with far spikes might not actually create a star shape. Within each sector, the angles between spoke centers intersect, which can affect the overall shape. If the spokes are slightly curved, the intersection at the tips could disrupt the star shape, but a disk with two arms might still hold. I can create a triangulated surface with holes by custom polygon ear clipping to ensure smooth boundaries with a seamless hub and spokes.\n\n**Analyzing geometry for normals**\n\nI'm exploring how to smooth normals on the front while using analytic normals for front loops. It involves adjusting for radial seam faces that create dark lines due to averaged normals. I'm considering whether to remove side faces on seams and focusing on the boundary loops. I'll compute the indices for the outer arc, radial sides, and inner arcs to ensure proper closure and shading without duplicates. It\u2019s a pretty detailed process!\n\n**Refining radial normals**\n\nI\u2019m focusing on closing the last loop to the first for specific radial edges and determining that the side walls shouldn\u2019t be included. The front normals along the radial seam are weighted differently because of one-sided faces, but they should ideally all normalize to -X since they\u2019re planar and flat. The hole ring does help with normal smoothing at the boundary. I also need to consider the current front pattern as very obvious with the barrel facets needing attention due to their sharp triangulation. It\u2019s a lot to keep track of!\n\n**Optimizing mesh normals**\n\nI'm working on a normals algorithm for software meshes, where it accumulates normals using faces along the entire lathe profile to smooth the vertices. The slanted facets create interpolation artifacts due to the weighted normals from long faces. To improve this, I need denser spline sampling for smoothing. I\u2019m considering using Catmull-Rom interpolation, but it can overshoot dimensions. That might violate the profile constraints, so perhaps subdividing with Chaikin corner cutting could help manage the maximum radius effectively. It\u2019s a bit complex, but I think I\u2019m on the right track!\n**Evaluating texture details**\n\nI need to adjust the interior silver color since the reference shows a brighter barrel silver but I\u2019m noticing my current silver is darker than expected. The render is flat, giving off a gray look that isn\u2019t indicative. Texturing is key, and I think I need to add a micro-surface normal texture to the barrel. I'm considering creating a 1024x1024 grayscale normal roughness procedural texture file. Proper UV mapping is also necessary since the current setup is causing texture stripes. I can implement this to refine the appearance.",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_wCj3PJdN5LZl2bYAzMfxd9Yq|fc_0403f288a90f1152016ad8209b5e4487d193ae3445d82fb157",
+ "function_name": "bash",
+ "arguments": {
+ "command": "python - <<'PY'\nfrom pxr import UsdSemantics\nprint(dir(UsdSemantics.LabelsAPI))\nPY",
+ "timeout": 30
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_wCj3PJdN5LZl2bYAzMfxd9Yq|fc_0403f288a90f1152016ad8209b5e4487d193ae3445d82fb157",
+ "content": "['Apply', 'CanApply', 'ComputeInheritedTaxonomies', 'CreateLabelsAttr', 'Get', 'GetAll', 'GetDirectTaxonomies', 'GetLabelsAttr', 'GetPath', 'GetPrim', 'GetSchemaAttributeNames', 'GetSchemaClassPrimDefinition', 'GetSchemaKind', 'IsAPISchema', 'IsAppliedAPISchema', 'IsConcrete', 'IsMultipleApplyAPISchema', 'IsSemanticsLabelsAPIPath', 'IsTyped', '_GetStaticTfType', '__bool__', '__class__', '__delattr__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getstate__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__instance_size__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__']",
+ "extra": {
+ "tool_name": "bash",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
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+ },
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+ }
+ },
+ {
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+ "timestamp": "2026-10-21T02:17:19.531Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "",
+ "reasoning_content": "**Considering budget efficiency**\n\nI'm thinking about the budget, which was around 30 but seems to have crept up to 32, including tools. I'll have to consider modifications to ensure I'm using the resources efficiently. It's important to keep an eye on spending to make sure we're making the most out of what's available. I need to figure out how to adjust things without sacrificing quality or functionality too much. Let's see what can be refined!",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_ERgTNsDrFX35nYNy5TOGJ4Rl|fc_0403f288a90f1152016ad820a065c887d1acbf4a6f589869a9",
+ "function_name": "edit",
+ "arguments": {
+ "path": "/tmp/build_wheel.py",
+ "edits": [
+ {
+ "oldText": "from pxr import Usd, UsdGeom, UsdShade, UsdPhysics, Gf, Sdf, Vt, Kind",
+ "newText": "from pxr import Usd, UsdGeom, UsdShade, UsdPhysics, UsdSemantics, Gf, Sdf, Vt, Kind"
+ },
+ {
+ "oldText": "Sdf.AssetPath('asset.usd')",
+ "newText": "Sdf.AssetPath('./asset.usd')"
+ },
+ {
+ "oldText": " p.AddAppliedSchema('SemanticsAPI:class')\n p.CreateAttribute('semantics:class:semanticType',Sdf.ValueTypeNames.String).Set('class')\n p.CreateAttribute('semantics:class:semanticData',Sdf.ValueTypeNames.String).Set(label)",
+ "newText": " UsdSemantics.LabelsAPI.Apply(p,'class').CreateLabelsAttr([label])"
+ },
+ {
+ "oldText": " m.GetPrim().CreateAttribute('semantics:material:semanticType',Sdf.ValueTypeNames.String).Set('material')\n m.GetPrim().CreateAttribute('semantics:material:semanticData',Sdf.ValueTypeNames.String).Set('aluminum' if metal>.5 else 'rubber' if name=='ValveRubber' else 'plastic')",
+ "newText": " UsdSemantics.LabelsAPI.Apply(m.GetPrim(),'material').CreateLabelsAttr(['aluminum' if metal>.5 else 'rubber' if name=='ValveRubber' else 'plastic'])"
+ },
+ {
+ "oldText": "lathe('/Wheel/Alloy/Barrel',profile,'CastSilver',320)",
+ "newText": "# Two rounds of corner-cutting make the rolled profile and drop centre smooth.\nfor iteration in range(2):\n sm=[]\n for i in range(len(profile)):\n a=np.array(profile[i]);b=np.array(profile[(i+1)%len(profile)])\n sm.extend([.75*a+.25*b,.25*a+.75*b])\n profile=sm\nprof=np.array(profile)\nprof[:,0]=(prof[:,0]-((prof[:,0].max()+prof[:,0].min())/2))*(.25498659908771515/(prof[:,0].max()-prof[:,0].min()))\nprof[:,1]*=.2526368796825409/prof[:,1].max()\nlathe('/Wheel/Alloy/Barrel',prof,'CastSilver',320)"
+ },
+ {
+ "oldText": " front=-.0780-.040*(t**1.55)\n thick=.032-.009*t\n for u,h in section:\n # A very slight cast crown on the broad front land.\n x=front+thick*h-.0010*(1-u*u)*(1-h)**5",
+ "newText": " tface=max(0,(r-.086)/(.239-.086))\n front=-.0788-.0392*(tface**1.55)\n thick=.032-.009*t\n for u,h in section:\n # The flat hub land flows into the concave spoke without a raised root.\n x=front+thick*h-.00045*(1-u*u)*(1-h)**5*min(1,tface*8)"
+ },
+ {
+ "oldText": " x=-.0782-.0008*np.maximum(0,(rr-.035)/.05)",
+ "newText": " x=np.full(nb,-.0788)"
+ },
+ {
+ "oldText": " loops.append((H+.0137*D,np.full(nb,-.0775)))",
+ "newText": " loops.append((H+.0137*D,np.full(nb,-.0778)))"
+ },
+ {
+ "oldText": " for j in range(nb):\n q=(j+1)%nb\n F.append([i*nb+j,ip*nb+j,ip*nb+q,i*nb+q])",
+ "newText": " for j in range(nb):\n # Adjacent sectors share a radial boundary. Do not create internal walls\n # there: they otherwise contaminate the front's interpolated normals.\n if i==len(loops)-1 and not (j<40 or 56<=j<86): continue\n q=(j+1)%nb\n F.append([i*nb+j,ip*nb+j,ip*nb+q,i*nb+q])"
+ },
+ {
+ "oldText": "stage.GetRootLayer().Save()\nprint('Saved'",
+ "newText": "stage.GetRootLayer().customLayerData={'SimReady_Metadata': {\n 'author':'OpenAI', 'asset_name':'Five Spoke Alloy Wheel Rim', 'asset_type':'prop',\n 'asset_license':'CC0-1.0', 'category':'vehicle_parts/wheels',\n 'source_file':'Procedurally reconstructed from supplied reference image',\n 'usd_date_generated':'2026-03-08', 'qcode':'Q446', 'rigid_body_count':3,\n 'asset_extents':Gf.Vec3d(.2549865991,.5052737594,.5052788854), 'mass':10.489}}\nstage.GetRootLayer().Save()\nprint('Saved'"
+ }
+ ]
+ }
+ }
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+ "type": "text",
+ "text": "Read image file [image/png]"
+ },
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+ "source": {
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+ "path": "images/pi_image_3.png"
+ }
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+ "reasoning_content": "**Exploring surface merging concepts**\n\nI'm considering whether a seamless surface can merge through 3D vertex welding. The overlapping disk front only allows spoke starts outside without any overlaps. The hub's outer wall connects at a specific radius, and I'm examining how spokes interact with the hub and front without overlap. It's important to adjust normal vectors and understand the geometry of these components to ensure a smooth connection. The hub's front face must align correctly with the spoke at defined intervals.\n\n**Refining hub and spoke dimensions**\n\nI need to address the termination points of the back hub and spoke, noting a side difference that will be hidden. The spoke front width should start at specific radii for alignment, ensuring there\u2019s no overlap with the lug holes. I want the visual root transition to appear broad but not connected with the belt circle. The outer disk's circular arc should be visible between the roots, while rounded corners on the spoke root will create tiny notches.\n**Analyzing normals and shader issues**\n\nI'm considering how the first caps might affect the normals at the start, especially if the entire 0.061 is inside the hub\u2014whether that's visible or not is a question. Our visible root seam is influenced by the disk\u2019s outer wall normals and z-fighting. It's essential to fix the normals first and possibly adjust the front offset. There are zigzag stripes along the X-axis that indicate the normals aren't being smoothed properly. I'll compute analytical normals from the 2D arc length tangent.",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_oEZC4pZQWqLR17lY3tHVDKK4|fc_0403f288a90f1152016ad820ed77e087d1842d2f00d33602a8",
+ "function_name": "edit",
+ "arguments": {
+ "path": "/tmp/build_wheel.py",
+ "edits": [
+ {
+ "oldText": " t=i/(nR-1);r=.061+.178*t\n ang=SPOKE0+k*2*math.pi/5 + .080*math.sin(t*math.pi)-.095*t",
+ "newText": " t=i/(nR-1);r=.076+.163*t\n ang=SPOKE0+k*2*math.pi/5 + .040*math.sin(t*math.pi)-.055*t"
+ },
+ {
+ "oldText": " width=.0475-.011*math.sin(math.pi*t)+.0015*t",
+ "newText": " width=.056-.009*math.sin(math.pi*t)-.003*t"
+ },
+ {
+ "oldText": " front=-.0788-.0392*(tface**1.55)",
+ "newText": " front=-.07895-.03905*(tface**1.55)"
+ },
+ {
+ "oldText": " mesh('/Wheel/Alloy/HubSector_%02d'%(k+1),P,F)",
+ "newText": " hm=mesh('/Wheel/Alloy/HubSector_%02d'%(k+1),P,F)\n hn=np.array(hm.GetNormalsAttr().Get(),dtype=float)\n hn[:nb]=[-1,0,0] # smooth front land at the integrally cast spoke roots\n hn[-nb:]=[1,0,0]\n hm.GetNormalsAttr().Set(Vt.Vec3fArray.FromNumpy(hn.astype(np.float32)))"
+ }
+ ]
+ }
+ }
+ ],
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+ "content": "Successfully replaced 4 block(s) in /tmp/build_wheel.py.",
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+ "newText": " t=i/(nR-1);r=.0845+.1545*t"
+ },
+ {
+ "oldText": " front=-.07895-.03905*(tface**1.55)",
+ "newText": " front=-.0788-.0392*(tface**1.55)"
+ },
+ {
+ "oldText": " x=front+thick*h-.00045*(1-u*u)*(1-h)**5*min(1,tface*8)\n P.append(er*r+et*u*width/2+np.array([x,0,0]))",
+ "newText": " bevel=min(1,t*10)\n ue=u*(1+(.22/.78)*(1-bevel)) if abs(u)<=.78 else math.copysign(1-bevel*(1-abs(u)),u)\n he=h*bevel if h<=.12 else 1-(1-h)*bevel if h>=.88 else h\n x=front+thick*he-.00045*(1-u*u)*(1-h)**5*min(1,tface*8)\n theta=ang+ue*width/(2*r)\n P.append([x,r*math.cos(theta),r*math.sin(theta)])"
+ },
+ {
+ "oldText": " F.append(list(range(nS-1,-1,-1)))\n F.append([(nR-1)*nS+j for j in range(nS)])",
+ "newText": " # The inner end meets the hub surface, so no internal cap is rendered.\n F.append([(nR-1)*nS+j for j in range(nS)])"
+ },
+ {
+ "oldText": " mesh('/Wheel/Alloy/Spoke_%02d'%(k+1),P,F)",
+ "newText": " sp=mesh('/Wheel/Alloy/Spoke_%02d'%(k+1),P,F)\n sn=np.array(sp.GetNormalsAttr().Get(),dtype=float)\n for j,(u,h) in enumerate(section):\n if h<=.12: sn[j]=[-1,0,0]\n sp.GetNormalsAttr().Set(Vt.Vec3fArray.FromNumpy(sn.astype(np.float32)))"
+ },
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+ "oldText": " rr=.0805+.0040*math.cos(5*(a-SPOKE0))",
+ "newText": " rr=.0845"
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+ }
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+ "reasoning_content": "**Analyzing hub shape and normals**\n\nI'm examining the hub shape, and it seems too round with an enlarged center compared to my reference. The hub radius calculations show some discrepancies with the reference disk. I'm also noticing the smoothing of the barrel could improve with better lathe normals. I'll need to adjust the normals by weighing them based on segment length at the corners to achieve a smoother profile. There\u2019s a lot to test and modify, especially regarding the color patches and normal interpolations.",
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+ "oldText": " return mesh(path,P,F,mat)\n\n# The complete deep barrel",
+ "newText": " normals=[]\n for i in range(len(profile)):\n p=np.array(profile[i]);before=p-np.array(profile[(i-1)%len(profile)]);after=np.array(profile[(i+1)%len(profile)])-p\n before/=max(np.linalg.norm(before),1e-12);after/=max(np.linalg.norm(after),1e-12)\n tangent=before+after;tangent/=max(np.linalg.norm(tangent),1e-12)\n for j in range(N):\n a=2*math.pi*j/N\n normals.append([-tangent[1],tangent[0]*math.cos(a),tangent[0]*math.sin(a)])\n return mesh(path,P,F,mat,normals=normals)\n\n# The complete deep barrel"
+ }
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+ }
+ }
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+ "oldText": "import math, os, numpy as np",
+ "newText": "import math, os, numpy as np\nfrom PIL import Image, ImageFilter"
+ },
+ {
+ "oldText": "material('ValveMetal',(.40,.42,.44),.88,.24)\n\nbody=",
+ "newText": "material('ValveMetal',(.40,.42,.44),.88,.24)\n# Fine brushed casting finish: a restrained, non-directional grain with very\n# faint tool streaks. All image dependencies are packaged alongside the USD.\nos.makedirs('/output/textures',exist_ok=True)\nrng=np.random.default_rng(53);size=512\nnoise=rng.normal(0,1,(size,size))\nlow=np.asarray(Image.fromarray(np.uint8(np.clip(128+30*rng.normal(0,1,(64,64)),0,255))).resize((size,size),Image.Resampling.BICUBIC),float)/255-.5\nstreak=rng.normal(0,1,(size,1))\nrough=np.clip(.282+.017*noise+.045*low+.005*streak,.22,.36)\nImage.fromarray(np.uint8(rough*255)).save('/output/textures/alloy_roughness.png')\nnorm=np.zeros((size,size,3));norm[:,:,0]=.5+.009*noise;norm[:,:,1]=.5+.004*rng.normal(0,1,(size,size));norm[:,:,2]=.999\nImage.fromarray(np.uint8(np.clip(norm,0,1)*255)).save('/output/textures/alloy_micro_normal.png')\nfor mname in ['CastSilver','InnerSilver']:\n m=materials[mname];base=m.GetPath();surf=UsdShade.Shader.Get(stage,base.AppendChild('PreviewSurface'))\n reader=UsdShade.Shader.Define(stage,base.AppendChild('UVReader'))\n reader.CreateIdAttr('UsdPrimvarReader_float2');reader.CreateInput('varname',Sdf.ValueTypeNames.Token).Set('st');reader.CreateOutput('result',Sdf.ValueTypeNames.Float2)\n for texname,filename,dest,output in [('Roughness','alloy_roughness.png','roughness','r'),('MicroNormal','alloy_micro_normal.png','normal','rgb')]:\n tex=UsdShade.Shader.Define(stage,base.AppendChild(texname));tex.CreateIdAttr('UsdUVTexture')\n tex.CreateInput('file',Sdf.ValueTypeNames.Asset).Set(Sdf.AssetPath('./textures/'+filename))\n tex.CreateInput('sourceColorSpace',Sdf.ValueTypeNames.Token).Set('raw')\n tex.CreateInput('wrapS',Sdf.ValueTypeNames.Token).Set('repeat');tex.CreateInput('wrapT',Sdf.ValueTypeNames.Token).Set('repeat')\n tex.CreateInput('st',Sdf.ValueTypeNames.Float2).ConnectToSource(reader.ConnectableAPI(),'result')\n if dest=='normal':\n tex.CreateInput('scale',Sdf.ValueTypeNames.Float4).Set(Gf.Vec4f(2,2,2,1));tex.CreateInput('bias',Sdf.ValueTypeNames.Float4).Set(Gf.Vec4f(-1,-1,-1,0))\n tex.CreateOutput(output,Sdf.ValueTypeNames.Float if output=='r' else Sdf.ValueTypeNames.Float3)\n surf.GetInput(dest).ConnectToSource(tex.ConnectableAPI(),output) if surf.GetInput(dest) else surf.CreateInput(dest,Sdf.ValueTypeNames.Normal3f).ConnectToSource(tex.ConnectableAPI(),output)\n\nbody="
+ },
+ {
+ "oldText": " return mesh(path,P,F,mat,normals=normals)",
+ "newText": " result=mesh(path,P,F,mat,normals=normals)\n uv=[]\n for i in range(len(profile)):\n k=(i+1)%len(profile)\n for j in range(N):\n uv.extend([(profile[i][0]/.255+.5,j/N),(profile[i][0]/.255+.5,(j+1)/N),(profile[k][0]/.255+.5,(j+1)/N),(profile[k][0]/.255+.5,j/N)])\n st=UsdGeom.PrimvarsAPI(result).GetPrimvar('st');st.SetInterpolation('faceVarying')\n st.Set(Vt.Vec2fArray.FromNumpy(np.array(uv,dtype=np.float32)))\n return result"
+ }
+ ]
+ }
+ }
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+ "reasoning_content": "**Checking script syntax and connections**\n\nI need to ensure that my script syntax for the conditional connection is correct. I\u2019m looking at the `surf.GetInput` for roughness with existing defaults. The `normal CreateInput` seems robust, but I notice that `Render_wheel roughness Get` is returning a default value of .285, which makes the image roughly unaffected. It's important for me to remember future validation and thumbnail issues as I continue working on this.",
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+ "source_call_id": "call_RJSAIm7vlhu8exrFoaTYdg5u|fc_0403f288a90f1152016ad8219489cc87d1832589ae8cb1328d",
+ "content": "{\"request_id\":\"check-2\",\"snapshot_sha256\":\"0a4c1409647160d51b8b4e4c323067349c46e0e179e0d93b9d55feac9e299ba5\",\"validation_calls_used\":2,\"validation_calls_remaining\":3,\"feedback\":{\"schema_version\":\"simready-validator-feedback-v1\",\"snapshot_sha256\":\"0a4c1409647160d51b8b4e4c323067349c46e0e179e0d93b9d55feac9e299ba5\",\"reward\":100.0,\"simready\":{\"schema\":\"simready-validator-score-v1\",\"policy_id\":\"NVIDIA-Robotics-Prop-4.0.0-mandatory-95-plus-5-v1\",\"status\":\"scored\",\"score_percent\":100.0,\"base_credit_percent\":95.0,\"completion_bonus\":5,\"passed_count\":46,\"failed_count\":0,\"unknown_count\":0,\"applicable_count\":46,\"official_conformance\":{\"profile\":{\"id\":\"Robotics-Prop\",\"version\":\"4.0.0\"},\"passed\":true,\"filtered\":false},\"checks\":[{\"requirement_id\":\"com.nvidia.simready.HI.010\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.004\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.005\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.007\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.008\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.007\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.010\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.COL.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.COL.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.COL.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.MAT.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.QCODE.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.TIME.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SR.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SR.004\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.UN.006\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.UN.007\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VG.008\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VG.025\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VG.MESH.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VM.MAT.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VM.PS.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VM.TEX.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VM.TEX.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.AA.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.AA.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.HI.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.HI.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.HI.004\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.RB.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.RB.005\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.RB.009\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.RB.COL.004\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VG.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VG.014\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VG.027\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VG.028\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VG.029\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VM.BIND.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VM.PS.001\",\"status\":\"pass\",\"finding_count\":0}]},\"nvidia_validator_report\":{\"available\":true,\"report_id\":\"eae5d09f85d8b59d09d8bd9d253753779b0271373f622e09c495335127048a61\",\"sha256\":\"eae5d09f85d8b59d09d8bd9d253753779b0271373f622e09c495335127048a61\",\"bytes\":437342,\"total_characters\":437342,\"issue_counts\":{\"issues\":0,\"soft_issues\":403,\"warnings\":0,\"infos\":0},\"complete_report_available\":true,\"delivery\":\"agent_file\",\"file_path\":\"/tmp/simready-validation-reports/eae5d09f85d8b59d09d8bd9d253753779b0271373f622e09c495335127048a61.json\",\"report\":null,\"retrieval_tool\":\"get_validation_report\",\"offset_unit\":\"Unicode_code_points\",\"search_hint\":\"rg -n -m 20 -M 240 --max-columns-preview -F -e -e ; use sed -n ,p for nearby lines\",\"redactions\":\"private host paths and credential patterns only; original diagnostic wording, suggestions and candidate USD sites retained\",\"file_available\":true,\"validation_calls_consumed\":0}},\"status\":\"completed\"}",
+ "extra": {
+ "tool_name": "mcp",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
+ "prompt_tokens": 44510,
+ "completion_tokens": 156,
+ "cached_tokens": 43230,
+ "extra": {
+ "cache_write_tokens": 1277,
+ "reasoning_tokens": 125,
+ "pi_total_tokens": 44666
+ }
+ },
+ "llm_call_count": 1,
+ "extra": {
+ "pi_event_id": "5bfe0726",
+ "pi_parent_id": "4e5e474f",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_0403f288a90f1152016ad8218f936087d1b6e06af0b8b7aa7b",
+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ },
+ {
+ "step_id": 35,
+ "timestamp": "2026-10-21T02:21:21.042Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "",
+ "reasoning_content": "**Checking report details**\n\nI need to inspect the report, specifically focusing on the mesh volumes related to the root, which could be intentionally soft. The user mentioned validating and inspecting NVIDIA\u2019s findings first, but I still need to ensure the final details are thoroughly checked. It's all about making sure everything's accurate and satisfactory before wrapping things up! So, let's dive into that inspection!",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_TOV1m8QFkwcoBi86v5KrWU0z|fc_0403f288a90f1152016ad8219f253c87d1bc40421725cc23d8",
+ "function_name": "bash",
+ "arguments": {
+ "command": "python - <<'PY'\nimport json,collections\np='/tmp/simready-validation-reports/eae5d09f85d8b59d09d8bd9d253753779b0271373f622e09c495335127048a61.json'\na=json.load(open(p));print('MANDATORY ISSUES',len(a['issues']))\nprint('OPTIONAL FINDINGS')\nC=collections.Counter((i['rule_id'],i['message']) for i in a['soft_issues'])\nfor (r,m),n in C.items(): print(n,r,m[:600])\nPY",
+ "timeout": 30
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_TOV1m8QFkwcoBi86v5KrWU0z|fc_0403f288a90f1152016ad8219f253c87d1bc40421725cc23d8",
+ "content": "1 com.nvidia.simready.VM.MDL.003 material '/Wheel/Looks/CastSilver' is bound for rendering and connects no 'outputs:mdl:surface', so the asset does not have an MDL final surface on the geometry it renders: it connects outputs:surface\n1 com.nvidia.simready.VM.PBR.001 material '/Wheel/Looks/MachinedAluminium' is bound for rendering but connects no OpenPBR final surface: it connects outputs:surface, and not 'outputs:mtlx:surface'\n1 com.nvidia.simready.VM.MDL.003 material '/Wheel/Looks/MachinedAluminium' is bound for rendering and connects no 'outputs:mdl:surface', so the asset does not have an MDL final surface on the geometry it renders: it connects outputs:surface\n1 com.nvidia.simready.VM.PBR.001 material '/Wheel/Looks/InnerSilver' is bound for rendering but connects no OpenPBR final surface: it connects outputs:surface, and not 'outputs:mtlx:surface'\n1 com.nvidia.simready.VM.MDL.003 material '/Wheel/Looks/InnerSilver' is bound for rendering and connects no 'outputs:mdl:surface', so the asset does not have an MDL final surface on the geometry it renders: it connects outputs:surface\n1 com.nvidia.simready.VM.PBR.001 material '/Wheel/Looks/CapGraphite' is bound for rendering but connects no OpenPBR final surface: it connects outputs:surface, and not 'outputs:mtlx:surface'\n1 com.nvidia.simready.VM.MDL.003 material '/Wheel/Looks/CapGraphite' is bound for rendering and connects no 'outputs:mdl:surface', so the asset does not have an MDL final surface on the geometry it renders: it connects outputs:surface\n1 com.nvidia.simready.VM.PBR.001 material '/Wheel/Looks/ValveRubber' is bound for rendering but connects no OpenPBR final surface: it connects outputs:surface, and not 'outputs:mtlx:surface'\n1 com.nvidia.simready.VM.MDL.003 material '/Wheel/Looks/ValveRubber' is bound for rendering and connects no 'outputs:mdl:surface', so the asset does not have an MDL final surface on the geometry it renders: it connects outputs:surface\n1 com.nvidia.simready.VM.PBR.001 material '/Wheel/Looks/ValveMetal' is bound for rendering but connects no OpenPBR final surface: it connects outputs:surface, and not 'outputs:mtlx:surface'\n1 com.nvidia.simready.VM.MDL.003 material '/Wheel/Looks/ValveMetal' is bound for rendering and connects no 'outputs:mdl:surface', so the asset does not have an MDL final surface on the geometry it renders: it connects outputs:surface\n1 com.nvidia.simready.SR.001 Required metadata fields are missing: asset_name, asset_type, source_file, usd_date_generated. Fields must be authored directly in the root layer's customLayerData.\n1 com.nvidia.simready.ISA.001 Incomplete Isaac Sim composition: performance robot layout; missing layers: base, geometries, instances, materials.\n1 com.nvidia.simready.PMT.001 Prim has a collision API but no material binding through material:binding:physics.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_00' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_00' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_00' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_01' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_01' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_01' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_02' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_02' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_02' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_03' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_03' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_03' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_04' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_04' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_04' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_05' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_05' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_05' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_06' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_06' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_06' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_07' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_07' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_07' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_08' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_08' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_08' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_09' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_09' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_09' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_10' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_10' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_10' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_11' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_11' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_11' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_12' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_12' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_12' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_13' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_13' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_13' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_14' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_14' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_14' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_15' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_15' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_15' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_16' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_16' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_16' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_17' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_17' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_17' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_18' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_18' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_18' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_19' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_19' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_19' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_20' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_20' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_20' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_21' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_21' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_21' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_22' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_22' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_22' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_23' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_23' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_23' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_24' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_24' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_24' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_25' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_25' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_25' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_26' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_26' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_26' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_27' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_27' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_27' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_28' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_28' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_28' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_29' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_29' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_29' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_30' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_30' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_30' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_31' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_31' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_31' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_32' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_32' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_32' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_33' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_33' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_33' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_34' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_34' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_34' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_35' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_35' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_35' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_36' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_36' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_36' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_37' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_37' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_37' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_38' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_38' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_38' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_39' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_39' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_39' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_40' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_40' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_40' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_41' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_41' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_41' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_42' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_42' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_42' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_43' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_43' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_43' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_44' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_44' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_44' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_45' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_45' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_45' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_46' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_46' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_46' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Barrel_47' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/FrontFlange_47' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/RearFlange_47' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Spoke_00' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Spoke_01' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Spoke_02' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Spoke_03' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Spoke_04' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_00' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_01' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_02' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_03' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_04' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_05' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_06' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_07' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_08' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_09' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_10' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_11' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_12' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_13' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_14' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_15' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_16' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_17' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_18' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Alloy/Colliders/Hub_19' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/CenterCap/Collider' must apply MjcCollisionAPI.\n1 com.nvidia.simready.MUJOCO.COL.001 MuJoCo collider '/Wheel/Valve/Collider' must apply MjcCollisionAPI.\n1 com.nvidia.simready.RV.007 Default prim must declare a 'MuJoCo' physics runtime variant set.\n1 com.nvidia.simready.RV.004 Default prim must declare a 'Newton' physics runtime variant set.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_00' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_00' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_00' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_01' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_01' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_01' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_02' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_02' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_02' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_03' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_03' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_03' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_04' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_04' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_04' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_05' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_05' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_05' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_06' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_06' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_06' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_07' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_07' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_07' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_08' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_08' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_08' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_09' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_09' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_09' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_10' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_10' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_10' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_11' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_11' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_11' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_12' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_12' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_12' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_13' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_13' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_13' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_14' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_14' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_14' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_15' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_15' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_15' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_16' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_16' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_16' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_17' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_17' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_17' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_18' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_18' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_18' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_19' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_19' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_19' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_20' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_20' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_20' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_21' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_21' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_21' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_22' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_22' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_22' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_23' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_23' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_23' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_24' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_24' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_24' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_25' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_25' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_25' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_26' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_26' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_26' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_27' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_27' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_27' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_28' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_28' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_28' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_29' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_29' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_29' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_30' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_30' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_30' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_31' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_31' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_31' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_32' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_32' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_32' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_33' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_33' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_33' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_34' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_34' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_34' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_35' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_35' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_35' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_36' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_36' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_36' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_37' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_37' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_37' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_38' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_38' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_38' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_39' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_39' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_39' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_40' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_40' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_40' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_41' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_41' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_41' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_42' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_42' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_42' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_43' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_43' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_43' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_44' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_44' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_44' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_45' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_45' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_45' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_46' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_46' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_46' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Barrel_47' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/FrontFlange_47' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/RearFlange_47' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Spoke_00' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Spoke_01' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Spoke_02' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Spoke_03' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Spoke_04' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_00' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_01' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_02' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_03' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_04' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_05' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_06' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_07' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_08' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_09' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_10' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_11' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_12' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_13' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_14' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_15' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_16' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_17' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_18' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Alloy/Colliders/Hub_19' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/CenterCap/Collider' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.NEWTON.COL.001 Newton mesh collider '/Wheel/Valve/Collider' must apply either NewtonMeshCollisionAPI or NewtonSDFCollisionAPI.\n1 com.nvidia.simready.RV.001 Default prim must declare a 'PhysX' physics runtime variant set.\n\n[Showing lines 31-389 of 389 (50.0KB limit). Full output: /tmp/pi-bash-b9b97b995f39f1f9.log]",
+ "extra": {
+ "tool_name": "bash",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
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+ "reasoning_tokens": 32,
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+ }
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+ "llm_call_count": 1,
+ "extra": {
+ "pi_event_id": "94424361",
+ "pi_parent_id": "6aa7a60a",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_0403f288a90f1152016ad8219b24c087d185e8efdb3a4f8afc",
+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ },
+ {
+ "step_id": 36,
+ "timestamp": "2026-10-21T02:21:40.214Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "",
+ "reasoning_content": "**Analyzing valve configurations**\n\nI need to think about whether the fixed joints on the valves could affect the kinematics since the wheel is rigid. The user has suggested using genuine fixed attachments, which seem consistent. So far, I'm good with that! I\u2019m trying to determine the reference for the spokes and their depth. I thought there might be six spokes, but after carefully re-counting the image, I identified five. The center cap also appears off the hub, and I might need to adjust the spoke orientation by about 20\u00b0.\n\n**Investigating spoke angles**\n\nI'm analyzing the angles of the spokes and noticing that the upper-left horizontal spoke has a large gap compared to what I expected. The angles from the reference points are quite different due to a shift in viewpoint, which could affect my calculations. I\u2019m seeing that the top spoke needs adjustments with about a 20\u00b0 rotation. The projections of angles aren't consistent across the image. I might need to reassess the front center reference, as some angles seem off. So, I\u2019ll check the thumbnail closely!\n\n**Deciding on cropping approach**\n\nI'm considering whether I should read or crop the reference. Since I have about ten turns to work with, maybe six would be a good number. It seems like cropping the reference front might help me count things more efficiently. I want to make sure I get it right without unnecessary steps, so focusing on cropping to clarify what I\u2019m looking at sounds like a smart choice! Let's see how that works out.",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_zSvFHGV05vUrQamkE5sp9zfq|fc_0403f288a90f1152016ad821b3647487d1aa7d78b08cf3be9b",
+ "function_name": "bash",
+ "arguments": {
+ "command": "python - <<'PY'\nfrom PIL import Image\nim=Image.open('/task/thumbnail.png');im.crop((80,255,670,970)).save('/tmp/reference_face.png')\nPY",
+ "timeout": 30
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_zSvFHGV05vUrQamkE5sp9zfq|fc_0403f288a90f1152016ad821b3647487d1aa7d78b08cf3be9b",
+ "content": "(no output)",
+ "extra": {
+ "tool_name": "bash",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
+ "prompt_tokens": 61130,
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+ }
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+ "llm_call_count": 1,
+ "extra": {
+ "pi_event_id": "e54c1292",
+ "pi_parent_id": "161b00ba",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_0403f288a90f1152016ad821a2d40087d1a0f1ac4427a8f5e2",
+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ },
+ {
+ "step_id": 37,
+ "timestamp": "2026-10-21T02:21:44.327Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_LzcwKWO9PLYiolvnTRYg3g9t|fc_0403f288a90f1152016ad821b7938087d1a31e8518543b1f62",
+ "function_name": "read",
+ "arguments": {
+ "path": "/tmp/reference_face.png",
+ "offset": 1,
+ "limit": 1
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_LzcwKWO9PLYiolvnTRYg3g9t|fc_0403f288a90f1152016ad821b7938087d1a31e8518543b1f62",
+ "content": [
+ {
+ "type": "text",
+ "text": "Read image file [image/png]"
+ },
+ {
+ "type": "image",
+ "source": {
+ "media_type": "image/png",
+ "path": "images/pi_image_7.png"
+ }
+ }
+ ],
+ "extra": {
+ "tool_name": "read",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
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+ "completion_tokens": 29,
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+ "extra": {
+ "cache_write_tokens": 571,
+ "reasoning_tokens": 0,
+ "pi_total_tokens": 61730
+ }
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+ "extra": {
+ "pi_event_id": "1778ecdf",
+ "pi_parent_id": "6ecefb4a",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_0403f288a90f1152016ad821b5cd8487d186763b8f98b1f3fa",
+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ },
+ {
+ "step_id": 38,
+ "timestamp": "2026-10-21T02:22:16.226Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "",
+ "reasoning_content": "**Analyzing spoke design**\n\nI'm considering the spoke design where there are five spokes. They appear broad and curved, extending from the upper left to the center, with a central hub that blends well. I notice the hub is round and large, with the spokes being rectangular, which might require adjustment to improve the root shape. The countersink dimensions are also a bit off because mine is smaller than the reference. I should consider increasing the countersinks and inner bore dimensions to match better.\n\n**Reviewing lug and hub design**\n\nI'm analyzing the lug and hub design with lugs at radius .055 and a mouth of .019. The internal edge is near the cap while the outer edge is close to the spoke. The reference root hub seems to disappear due to the mouths and spoke roots. I think enlarging the countersink to .0195 would narrow the material between the cap and holes, giving it a blended look. I might need to adjust the hub radius and inner dimensions to achieve a more organic shape overall.\n\n**Assessing hub size and radius**\n\nI\u2019m re-evaluating the hub size; the current constant of .0845 might be too large. What if I adjust the outer radius near the spokes to .0845 and to .075 near the lugs? The spoke roots are at .0845, and the attachment arcs cover about 19 degrees. The gap between the spokes spans 34 degrees, so maybe at the midpoint, I should ensure the outer hub radius is around .070. Let\u2019s see how these adjustments work together!\n**Adjusting turns and features**\n\nI\u2019m trying to keep track of the actual turns; it looks like we're at about 53, but I need to get to within 64. I can work on editing, building, rendering, reading, validating, inspecting, and doing a joint check before submitting the final version \u2014 that\u2019s about 9 tasks. Great! Now it's time to adjust the mouth sizes and the scallop without adding any further texture. Let's keep it moving!",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_f5ONx7lxj6wl1YHs3UT0Todp|fc_0403f288a90f1152016ad821d41bb487d19300e1a76b1bdb60",
+ "function_name": "edit",
+ "arguments": {
+ "path": "/tmp/build_wheel.py",
+ "edits": [
+ {
+ "oldText": " rr=.0845\n boundary.append",
+ "newText": " dist=abs(((a-SPOKE0+math.pi/5)%(2*math.pi/5))-math.pi/5)\n q=max(0,min(1,(dist-math.radians(20))/math.radians(16)))\n rr=.0845-.0065*(q*q*(3-2*q))\n boundary.append"
+ },
+ {
+ "oldText": " yz=(1-t)*B+t*(H+.0145*D)",
+ "newText": " yz=(1-t)*B+t*(H+.0185*D)"
+ },
+ {
+ "oldText": " loops.append((H+.0137*D,np.full(nb,-.0778)))\n loops.append((H+.0116*D,np.full(nb,-.0735)))\n loops.append((H+.0080*D,np.full(nb,-.0620)))",
+ "newText": " loops.append((H+.0178*D,np.full(nb,-.0776)))\n loops.append((H+.0140*D,np.full(nb,-.0730)))\n loops.append((H+.0080*D,np.full(nb,-.0600)))"
+ }
+ ]
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_f5ONx7lxj6wl1YHs3UT0Todp|fc_0403f288a90f1152016ad821d41bb487d19300e1a76b1bdb60",
+ "content": "Successfully replaced 3 block(s) in /tmp/build_wheel.py.",
+ "extra": {
+ "tool_name": "edit",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
+ "prompt_tokens": 62272,
+ "completion_tokens": 1116,
+ "cached_tokens": 61698,
+ "extra": {
+ "cache_write_tokens": 571,
+ "reasoning_tokens": 829,
+ "pi_total_tokens": 63388
+ }
+ },
+ "llm_call_count": 1,
+ "extra": {
+ "pi_event_id": "ff77ef57",
+ "pi_parent_id": "5ad8bc60",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_0403f288a90f1152016ad821b9c91087d1855df950af1419a9",
+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ },
+ {
+ "step_id": 39,
+ "timestamp": "2026-10-21T02:22:25.630Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "",
+ "reasoning_content": "**Considering design adjustments**\n\nI'm thinking about how to make the reference spokes wider near the hub of the current plate. It seems that making the holes bigger would enhance the overall design. I'm curious if there are specific dimensions or materials I should consider to ensure strength and functionality. I wonder if adjusting both aspects might improve performance. Overall, these changes could lead to a better outcome in terms of durability and reliability.",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_P3O8c4Gx0yBjMaoDoXI6zm9Q|fc_0403f288a90f1152016ad821ddc5bc87d1a9ba06082b12e29a",
+ "function_name": "bash",
+ "arguments": {
+ "command": "python /tmp/build_wheel.py && python /tmp/render_wheel.py /tmp/final_preview.png 800 && python - <<'PY'\nfrom PIL import Image\nImage.open('/tmp/final_preview.png').resize((256,256),Image.Resampling.LANCZOS).save('/output/.thumbs/256x256/asset.usd.png')\nfrom pxr import Usd,UsdGeom,UsdPhysics,Gf\nst=Usd.Stage.Open('/output/asset.usd')\nfor p in st.Traverse():\n if p.IsA(UsdPhysics.Joint):\n j=UsdPhysics.Joint(p);a=st.GetPrimAtPath(j.GetBody0Rel().GetTargets()[0]);b=st.GetPrimAtPath(j.GetBody1Rel().GetTargets()[0])\n x=UsdGeom.Xformable(a).ComputeLocalToWorldTransform(0).Transform(Gf.Vec3d(j.GetLocalPos0Attr().Get()))\n y=UsdGeom.Xformable(b).ComputeLocalToWorldTransform(0).Transform(Gf.Vec3d(j.GetLocalPos1Attr().Get()))\n print(p.GetPath(),'fixed frame gap', (x-y).GetLength())\nPY",
+ "timeout": 200
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_P3O8c4Gx0yBjMaoDoXI6zm9Q|fc_0403f288a90f1152016ad821ddc5bc87d1a9ba06082b12e29a",
+ "content": "Saved /output/asset.usd prims 218\nBOUNDS [(-0.12749329209327698, -0.2526368796825409, -0.2526368796825409)...(0.12749329209327698, 0.2526368796825409, 0.2526368796825409)] dimensions (0.25498658418655396, 0.5052737593650818, 0.5052737593650818)\nMeshes 191\n/tmp/final_preview.png\n/Wheel/Joints/CapFixed fixed frame gap 2.276897434483338e-09\n/Wheel/Joints/ValveFixed fixed frame gap 2.6275532975859453e-09",
+ "extra": {
+ "tool_name": "bash",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
+ "prompt_tokens": 63413,
+ "completion_tokens": 307,
+ "cached_tokens": 62269,
+ "extra": {
+ "cache_write_tokens": 1141,
+ "reasoning_tokens": 18,
+ "pi_total_tokens": 63720
+ }
+ },
+ "llm_call_count": 1,
+ "extra": {
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+ "pi_parent_id": "d2a9c4f7",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
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+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ },
+ {
+ "step_id": 40,
+ "timestamp": "2026-10-21T02:22:43.024Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_Ql6n8Ezcef4k5v4AldPeIvyg|fc_0403f288a90f1152016ad821f1f57887d19566fe07cc60f092",
+ "function_name": "read",
+ "arguments": {
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+ "offset": 1,
+ "limit": 1
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
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+ "content": [
+ {
+ "type": "text",
+ "text": "Read image file [image/png]"
+ },
+ {
+ "type": "image",
+ "source": {
+ "media_type": "image/png",
+ "path": "images/pi_image_8.png"
+ }
+ }
+ ],
+ "extra": {
+ "tool_name": "read",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
+ "prompt_tokens": 63892,
+ "completion_tokens": 30,
+ "cached_tokens": 63410,
+ "extra": {
+ "cache_write_tokens": 479,
+ "reasoning_tokens": 0,
+ "pi_total_tokens": 63922
+ }
+ },
+ "llm_call_count": 1,
+ "extra": {
+ "pi_event_id": "0798e130",
+ "pi_parent_id": "f8ca3066",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_0403f288a90f1152016ad821f02fe487d1b1dbdab282f17d81",
+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ },
+ {
+ "step_id": 41,
+ "timestamp": "2026-10-21T02:22:50.944Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "The revised asset passed all 46 mandatory NVIDIA requirements. It includes the hollow barrel, dished five-spoke face, five countersunk lug bores, center cap, and recessed valve. The fixed-joint frames coincide within numerical precision. I\u2019ll run one final check on the packaged files before submitting.",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_SO99woyaCwim2BVXAOEgb9Ns|fc_0403f288a90f1152016ad821f990a887d1945df00629b9be3f",
+ "function_name": "mcp",
+ "arguments": {
+ "tool": "benchmark_validate_candidate",
+ "args": {
+ "request_id": "check-final"
+ }
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_SO99woyaCwim2BVXAOEgb9Ns|fc_0403f288a90f1152016ad821f990a887d1945df00629b9be3f",
+ "content": "{\"request_id\":\"check-final\",\"snapshot_sha256\":\"92a386a32f703f41f317948c55756e602bf4102fc4041af3b0a91919c853ecfd\",\"validation_calls_used\":3,\"validation_calls_remaining\":2,\"feedback\":{\"schema_version\":\"simready-validator-feedback-v1\",\"snapshot_sha256\":\"92a386a32f703f41f317948c55756e602bf4102fc4041af3b0a91919c853ecfd\",\"reward\":100.0,\"simready\":{\"schema\":\"simready-validator-score-v1\",\"policy_id\":\"NVIDIA-Robotics-Prop-4.0.0-mandatory-95-plus-5-v1\",\"status\":\"scored\",\"score_percent\":100.0,\"base_credit_percent\":95.0,\"completion_bonus\":5,\"passed_count\":46,\"failed_count\":0,\"unknown_count\":0,\"applicable_count\":46,\"official_conformance\":{\"profile\":{\"id\":\"Robotics-Prop\",\"version\":\"4.0.0\"},\"passed\":true,\"filtered\":false},\"checks\":[{\"requirement_id\":\"com.nvidia.simready.HI.010\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.004\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.005\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.007\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.NP.008\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.007\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.010\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.COL.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.COL.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.RB.COL.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.MAT.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.QCODE.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SL.TIME.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SR.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.SR.004\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.UN.006\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.UN.007\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VG.008\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VG.025\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VG.MESH.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VM.MAT.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VM.PS.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VM.TEX.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.simready.VM.TEX.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.AA.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.AA.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.HI.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.HI.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.HI.004\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.RB.003\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.RB.005\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.RB.009\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.RB.COL.004\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VG.002\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VG.014\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VG.027\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VG.028\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VG.029\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VM.BIND.001\",\"status\":\"pass\",\"finding_count\":0},{\"requirement_id\":\"com.nvidia.usd.VM.PS.001\",\"status\":\"pass\",\"finding_count\":0}]},\"nvidia_validator_report\":{\"available\":true,\"report_id\":\"148c40cae59c3a37502837ac7472b18e06c6b64fe96b00259d6739a90558491c\",\"sha256\":\"148c40cae59c3a37502837ac7472b18e06c6b64fe96b00259d6739a90558491c\",\"bytes\":437334,\"total_characters\":437334,\"issue_counts\":{\"issues\":0,\"soft_issues\":403,\"warnings\":0,\"infos\":0},\"complete_report_available\":true,\"delivery\":\"agent_file\",\"file_path\":\"/tmp/simready-validation-reports/148c40cae59c3a37502837ac7472b18e06c6b64fe96b00259d6739a90558491c.json\",\"report\":null,\"retrieval_tool\":\"get_validation_report\",\"offset_unit\":\"Unicode_code_points\",\"search_hint\":\"rg -n -m 20 -M 240 --max-columns-preview -F -e -e ; use sed -n ,p for nearby lines\",\"redactions\":\"private host paths and credential patterns only; original diagnostic wording, suggestions and candidate USD sites retained\",\"file_available\":true,\"validation_calls_consumed\":0}},\"status\":\"completed\"}",
+ "extra": {
+ "tool_name": "mcp",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
+ "prompt_tokens": 64690,
+ "completion_tokens": 125,
+ "cached_tokens": 63889,
+ "extra": {
+ "cache_write_tokens": 798,
+ "reasoning_tokens": 27,
+ "pi_total_tokens": 64815
+ }
+ },
+ "llm_call_count": 1,
+ "extra": {
+ "pi_event_id": "7e5aa001",
+ "pi_parent_id": "28d23c88",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_0403f288a90f1152016ad821f4e7d887d1a4fe3f24818bf69d",
+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ },
+ {
+ "step_id": 42,
+ "timestamp": "2026-10-21T02:23:08.840Z",
+ "source": "agent",
+ "model_name": "harbor-endpoint/gpt-6.1-sol",
+ "message": "",
+ "tool_calls": [
+ {
+ "tool_call_id": "call_MDMQffoLuRk1wQyjhJm1OINq|fc_0403f288a90f1152016ad822098c5487d19d06357b07ab1b0a",
+ "function_name": "bash",
+ "arguments": {
+ "command": "python - <<'PY'\nimport json,collections,os\np='/tmp/simready-validation-reports/148c40cae59c3a37502837ac7472b18e06c6b64fe96b00259d6739a90558491c.json';r=json.load(open(p))\nprint('Final NVIDIA mandatory issues:',len(r['issues']),'; warnings:',len(r['warnings']))\nprint('Optional finding categories:', dict(collections.Counter(x['rule_id'] for x in r['soft_issues'])))\nfor p in ['/output/asset.usd','/output/textures/alloy_roughness.png','/output/textures/alloy_micro_normal.png','/output/.thumbs/256x256/asset.usd.png']:\n print(p,os.path.getsize(p),'bytes')\nPY",
+ "timeout": 30
+ }
+ }
+ ],
+ "observation": {
+ "results": [
+ {
+ "source_call_id": "call_MDMQffoLuRk1wQyjhJm1OINq|fc_0403f288a90f1152016ad822098c5487d19d06357b07ab1b0a",
+ "content": "Final NVIDIA mandatory issues: 0 ; warnings: 0\nOptional finding categories: {'com.nvidia.simready.NVM.002': 6, 'com.nvidia.simready.NVM.003': 6, 'com.nvidia.simready.NVM.001': 6, 'com.nvidia.simready.GSP.001': 1, 'com.nvidia.simready.PMT.001': 1, 'com.nvidia.simready.DISP.001': 20, 'com.nvidia.simready.SR.001': 1, 'com.nvidia.simready.VM.PBR.003': 2, 'com.nvidia.simready.VM.BIND.002': 2, 'com.nvidia.simready.VM.PBR.001': 6, 'com.nvidia.simready.VM.MDL.003': 6, 'com.nvidia.simready.ISA.001': 1, 'com.nvidia.simready.MUJOCO.COL.001': 171, 'com.nvidia.simready.RV.007': 1, 'com.nvidia.simready.NEWTON.COL.001': 171, 'com.nvidia.simready.RV.004': 1, 'com.nvidia.simready.RV.001': 1}\n/output/asset.usd 3933278 bytes\n/output/textures/alloy_roughness.png 154643 bytes\n/output/textures/alloy_micro_normal.png 281100 bytes\n/output/.thumbs/256x256/asset.usd.png 41583 bytes",
+ "extra": {
+ "tool_name": "bash",
+ "is_error": false
+ }
+ }
+ ]
+ },
+ "metrics": {
+ "prompt_tokens": 66433,
+ "completion_tokens": 202,
+ "cached_tokens": 64687,
+ "extra": {
+ "cache_write_tokens": 1743,
+ "reasoning_tokens": 0,
+ "pi_total_tokens": 66635
+ }
+ },
+ "llm_call_count": 1,
+ "extra": {
+ "pi_event_id": "a796c075",
+ "pi_parent_id": "734ed94e",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_0403f288a90f1152016ad8220176d887d1a854f8fb69bcf82c",
+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ },
+ {
+ "step_id": 43,
+ "timestamp": "2026-10-21T02:23:16.765Z",
+ "source": "agent",
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+ "message": "",
+ "tool_calls": [
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+ "tool_call_id": "call_xrCqSU0Vd3KNctVlQIUtgoiA|fc_0403f288a90f1152016ad82213e42487d1b3bb5f07e42aa55a",
+ "function_name": "mcp",
+ "arguments": {
+ "tool": "benchmark_submit_asset",
+ "args": {
+ "request_id": "final"
+ }
+ }
+ }
+ ],
+ "observation": {
+ "results": []
+ },
+ "metrics": {
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+ "completion_tokens": 27,
+ "cached_tokens": 66430,
+ "extra": {
+ "cache_write_tokens": 536,
+ "reasoning_tokens": 0,
+ "pi_total_tokens": 66996
+ }
+ },
+ "llm_call_count": 1,
+ "extra": {
+ "pi_event_id": "896accfd",
+ "pi_parent_id": "4af3b48d",
+ "provider": "harbor-endpoint",
+ "api": "openai-responses",
+ "response_id": "resp_0403f288a90f1152016ad8220ecd6887d1a78abf426e300566",
+ "response_model": null,
+ "stop_reason": "toolUse",
+ "raw_stop_reason": "completed"
+ }
+ }
+ ],
+ "final_metrics": {
+ "total_prompt_tokens": 1363165,
+ "total_completion_tokens": 25243,
+ "total_cached_tokens": 1289183,
+ "total_steps": 43,
+ "extra": {
+ "cache_write_tokens": 73856,
+ "reasoning_tokens": 11417,
+ "pi_total_tokens": 1388408
+ }
+ }
+}
\ No newline at end of file
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+ "features/FET_046_STANDARD-0.1.0.json": "8dd0004e5bfd672ffd0a291a75f44c00caecd39972ebf34b365d1f09780a459c",
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+ "features/FET_100_ISAAC-0.4.0.json": "ab2a0e1ecd5aaa1796b887c059950ea875f35309e49f51d68142b79231fdd215",
+ "features/FET_101_ISAAC-0.1.0.json": "076cb75e4694dfc9b59f8acdc1939b0f3fc845a5520e98d100ef256582c5c451",
+ "features/known_edits/fet-006-mdl-0-1-0.toml": "e6d50a451dee543445e77bb509317d36b8769bb4621bedefbabb3dcb551a67dc",
+ "features/known_edits/fet-006-standard-0-1-0.toml": "9f5cea886a36e125b01cc7bf78ea83a65daf4853bbf3972f397abb298b641e31",
+ "profiles/open_taxonomy_profiles.toml": "8675927dc6d4edbd4c3c60c8d8ac860c2142cdf3e95da3e710cb22f21c403841",
+ "profiles/package_profiles.toml": "27f31c333c8ca98d0ec1d46029e3269bc8b6f683a31724bad43ea0609dc4bfcd",
+ "profiles/robot_body.toml": "6a92df1f7e4e7be4e9ffbe7ed0cb47d9ee88ed7925054b970a7c347e8cb8975e",
+ "profiles/robot_gripper.toml": "f28c6ca232c681c99ca6e3185b70fc6ea7e88690b2acf000fb50d6932e2f851d",
+ "profiles/robotics_prop.toml": "55436c902cd238daab9be26caaa9f197509825d866f8b6fcfbb74de61b93fcd9"
+ },
+ "versions": {
+ "simready-foundation-tier-core": "2026.8.0",
+ "simready-validate": "2026.8.0",
+ "usd-profiles-nvidia": "1.22.0",
+ "usd-validation-nvidia": "1.22.0"
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+ },
+ "issues": [],
+ "logs": [
+ {
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+ "logger": "simready.validate",
+ "message": "simready.validate (2026.8.0) initialize."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Clearing requirements registry"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Clearing features registry"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Clearing profiles registry"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Clearing rules registry"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "No filesystem paths provided; discovering and loading installed tiers"
+ },
+ {
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+ "logger": "simready.validate",
+ "message": "Discovered tier: tier_core"
+ },
+ {
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+ "logger": "simready.validate",
+ "message": " Resolved tier 'tier_core' -> simready.foundation.tier_core:tier"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering 1 installed SimReady tier(s): tier_core"
+ },
+ {
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+ "logger": "simready.validate",
+ "message": "Tier 'tier_core': importing rules package 'simready.foundation.tier_core.capabilities'"
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+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_000_ISAAC' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_000_ISAAC-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_000_MUJOCO' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_000_MUJOCO-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_000_NEWTON' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_000_NEWTON-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_000_PHYSX' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_000_PHYSX-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_000_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_000_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_000_STANDARD' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_000_STANDARD-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_001_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_001_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_001_STANDARD' version '1.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_001_STANDARD-1.0.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_001_STANDARD' version '1.0.1' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_001_STANDARD-1.0.1.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_002_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_002_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_003_MUJOCO' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_003_MUJOCO-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_003_NEWTON' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_003_NEWTON-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_003_PHYSX' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_003_PHYSX-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_003_PHYSX' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_003_PHYSX-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_003_PHYSX' version '0.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_003_PHYSX-0.3.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_003_PHYSX' version '0.4.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_003_PHYSX-0.4.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_003_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_003_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_003_STANDARD' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_003_STANDARD-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_MUJOCO' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_MUJOCO-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_NEWTON' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_NEWTON-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_PHYSX' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_PHYSX-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_PHYSX' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_PHYSX-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_PHYSX' version '0.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_PHYSX-0.3.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_PHYSX' version '0.4.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_PHYSX-0.4.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_ROBOT_MUJOCO' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_ROBOT_MUJOCO-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_ROBOT_NEWTON' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_ROBOT_NEWTON-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_ROBOT_PHYSX' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_ROBOT_PHYSX-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_ROBOT_PHYSX' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_ROBOT_PHYSX-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_ROBOT_PHYSX' version '0.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_ROBOT_PHYSX-0.3.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_ROBOT_PHYSX' version '0.4.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_ROBOT_PHYSX-0.4.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_004_STANDARD' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_004_STANDARD-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_005_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_005_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_006_MDL' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_006_MDL-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_006_MDL' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_006_MDL-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_006_OPENPBR' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_006_OPENPBR-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_006_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_006_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_006_STANDARD' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_006_STANDARD-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_007_STANDARD' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_007_STANDARD-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_010_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_010_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_011_RTX' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_011_RTX-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_011_STANDARD' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_011_STANDARD-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_021_ISAAC' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_021_ISAAC-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_021_ISAAC' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_021_ISAAC-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_021_ISAAC' version '0.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_021_ISAAC-0.3.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_022_ISAAC' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_022_ISAAC-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_022_ISAAC' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_022_ISAAC-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_022_MUJOCO' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_022_MUJOCO-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_022_NEWTON' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_022_NEWTON-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_022_PHYSX' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_022_PHYSX-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_022_PHYSX' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_022_PHYSX-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_022_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_022_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_022_STANDARD' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_022_STANDARD-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_023_ISAAC' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_023_ISAAC-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_024_MUJOCO' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_024_MUJOCO-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_024_NEWTON' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_024_NEWTON-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_024_PHYSX' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_024_PHYSX-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_024_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_024_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_025_ROS' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_025_ROS-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_028_ISAAC' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_028_ISAAC-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_028_MUJOCO' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_028_MUJOCO-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_028_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_028_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_030_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_030_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_031_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_031_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_032_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_032_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_033_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_033_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_033_STANDARD' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_033_STANDARD-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_033_STANDARD' version '0.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_033_STANDARD-0.3.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_033_STANDARD' version '0.4.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_033_STANDARD-0.4.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_040_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_040_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_041_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_041_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_042_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_042_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_043_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_043_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_044_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_044_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_045_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_045_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_046_STANDARD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_046_STANDARD-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_100_ISAAC' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_100_ISAAC-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_100_ISAAC' version '0.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_100_ISAAC-0.2.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_100_ISAAC' version '0.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_100_ISAAC-0.3.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_100_ISAAC' version '0.4.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_100_ISAAC-0.4.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering feature 'FET_101_ISAAC' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/features/FET_101_ISAAC-0.1.0.json"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Open-Taxonomy-COCO' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/open_taxonomy_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Open-Taxonomy-Cityscapes' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/open_taxonomy_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Open-Taxonomy-ADE20K' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/open_taxonomy_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Open-Taxonomy-PascalVOC' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/open_taxonomy_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Open-Taxonomy-SUNRGBD' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/open_taxonomy_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Open-Taxonomy-ImageNet1K' version '0.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/open_taxonomy_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Package' version '1.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/package_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Package-NoBOM' version '1.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/package_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Package-Candidate' version '1.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/package_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Package-Candidate' version '1.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/package_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Package-Candidate' version '1.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/package_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Package-Candidate' version '1.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/package_profiles.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Body' version '2.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_body.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Body' version '2.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_body.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Body' version '2.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_body.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Body' version '2.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_body.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Body' version '3.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_body.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Gripper' version '2.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_gripper.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Gripper' version '2.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_gripper.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Gripper' version '2.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_gripper.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robot-Gripper' version '3.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robot_gripper.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robotics-Prop' version '3.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robotics_prop.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robotics-Prop' version '3.1.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robotics_prop.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robotics-Prop' version '3.2.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robotics_prop.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robotics-Prop' version '3.3.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robotics_prop.toml"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Registering profile 'Robotics-Prop' version '4.0.0' from /opt/simready/venv/lib/python3.12/site-packages/simready/foundation/tier_core/profiles/robotics_prop.toml"
+ },
+ {
+ "level": "WARNING",
+ "logger": "root",
+ "message": "DeprecationWarning: Use find() instead"
+ },
+ {
+ "level": "WARNING",
+ "logger": "root",
+ "message": "File /opt/simready/venv/lib/python3.12/site-packages/simready/validate/api.py, line 485, in _build_features_validation_summary"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.MUJOCO.COL.001'] did not pass for feature FET_003_MUJOCO."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.VM.BIND.002', 'com.nvidia.simready.VM.MDL.003'] did not pass for feature FET_006_MDL."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.ISA.001'] did not pass for feature FET_100_ISAAC."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.VM.BIND.002', 'com.nvidia.simready.VM.PBR.001', 'com.nvidia.simready.VM.PBR.003'] did not pass for feature FET_006_OPENPBR."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.GSP.001', 'com.nvidia.simready.PMT.001'] did not pass for feature FET_005_STANDARD."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.NEWTON.COL.001'] did not pass for feature FET_003_NEWTON."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.RV.007', 'com.nvidia.simready.SR.001'] did not pass for feature FET_000_MUJOCO."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.SR.001'] did not pass for feature FET_000_STANDARD."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.MUJOCO.COL.001'] did not pass for feature FET_004_MUJOCO."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.RV.004', 'com.nvidia.simready.SR.001'] did not pass for feature FET_000_NEWTON."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.NEWTON.COL.001'] did not pass for feature FET_004_NEWTON."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.NVM.001', 'com.nvidia.simready.NVM.002', 'com.nvidia.simready.NVM.003'] did not pass for feature FET_007_STANDARD."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.DISP.001'] did not pass for feature FET_010_STANDARD."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Optional requirements ['com.nvidia.simready.RV.001', 'com.nvidia.simready.SR.001'] did not pass for feature FET_000_PHYSX."
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Clearing requirements registry"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Clearing features registry"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Clearing profiles registry"
+ },
+ {
+ "level": "INFO",
+ "logger": "simready.validate",
+ "message": "Clearing rules registry"
+ }
+ ],
+ "outcome": "success",
+ "passed": true,
+ "profile_id": "Robotics-Prop",
+ "profile_version": "4.0.0",
+ "rule_execution": {
+ "buckets": [
+ {
+ "bucket": "neutral",
+ "declared_requirement_codes": [
+ "com.nvidia.simready.DISP.001",
+ "com.nvidia.simready.DISP.002",
+ "com.nvidia.simready.DISP.003",
+ "com.nvidia.simready.GSP.001",
+ "com.nvidia.simready.HI.010",
+ "com.nvidia.simready.ISA.001",
+ "com.nvidia.simready.JT.001",
+ "com.nvidia.simready.JT.ART.003",
+ "com.nvidia.simready.NP.002",
+ "com.nvidia.simready.NP.003",
+ "com.nvidia.simready.NP.004",
+ "com.nvidia.simready.NP.005",
+ "com.nvidia.simready.NP.006",
+ "com.nvidia.simready.NP.007",
+ "com.nvidia.simready.NP.008",
+ "com.nvidia.simready.NVM.001",
+ "com.nvidia.simready.NVM.002",
+ "com.nvidia.simready.NVM.003",
+ "com.nvidia.simready.NVM.004",
+ "com.nvidia.simready.NVM.005",
+ "com.nvidia.simready.NVM.006",
+ "com.nvidia.simready.PMT.001",
+ "com.nvidia.simready.RB.001",
+ "com.nvidia.simready.RB.007",
+ "com.nvidia.simready.RB.010",
+ "com.nvidia.simready.RB.011",
+ "com.nvidia.simready.RB.012",
+ "com.nvidia.simready.RB.COL.001",
+ "com.nvidia.simready.RB.COL.002",
+ "com.nvidia.simready.RB.COL.003",
+ "com.nvidia.simready.RB.MB.001",
+ "com.nvidia.simready.RV.010",
+ "com.nvidia.simready.RV.011",
+ "com.nvidia.simready.SL.001",
+ "com.nvidia.simready.SL.002",
+ "com.nvidia.simready.SL.003",
+ "com.nvidia.simready.SL.MAT.001",
+ "com.nvidia.simready.SL.QCODE.001",
+ "com.nvidia.simready.SL.TIME.001",
+ "com.nvidia.simready.SR.001",
+ "com.nvidia.simready.SR.002",
+ "com.nvidia.simready.SR.004",
+ "com.nvidia.simready.UN.006",
+ "com.nvidia.simready.UN.007",
+ "com.nvidia.simready.VG.008",
+ "com.nvidia.simready.VG.025",
+ "com.nvidia.simready.VG.MESH.001",
+ "com.nvidia.simready.VM.BIND.002",
+ "com.nvidia.simready.VM.MAT.001",
+ "com.nvidia.simready.VM.MDL.001",
+ "com.nvidia.simready.VM.MDL.003",
+ "com.nvidia.simready.VM.PBR.001",
+ "com.nvidia.simready.VM.PBR.002",
+ "com.nvidia.simready.VM.PBR.003",
+ "com.nvidia.simready.VM.PS.002",
+ "com.nvidia.simready.VM.TEX.001",
+ "com.nvidia.simready.VM.TEX.003",
+ "com.nvidia.simready.VM.TEX.004",
+ "com.nvidia.simready.VM.TEX.005",
+ "com.nvidia.usd.AA.001",
+ "com.nvidia.usd.AA.002",
+ "com.nvidia.usd.HI.001",
+ "com.nvidia.usd.HI.003",
+ "com.nvidia.usd.HI.004",
+ "com.nvidia.usd.JT.002",
+ "com.nvidia.usd.JT.003",
+ "com.nvidia.usd.JT.ART.002",
+ "com.nvidia.usd.JT.ART.004",
+ "com.nvidia.usd.RB.003",
+ "com.nvidia.usd.RB.005",
+ "com.nvidia.usd.RB.009",
+ "com.nvidia.usd.RB.COL.004",
+ "com.nvidia.usd.VG.002",
+ "com.nvidia.usd.VG.014",
+ "com.nvidia.usd.VG.027",
+ "com.nvidia.usd.VG.028",
+ "com.nvidia.usd.VG.029",
+ "com.nvidia.usd.VM.BIND.001",
+ "com.nvidia.usd.VM.MDL.002",
+ "com.nvidia.usd.VM.PS.001"
+ ],
+ "enabled_rules": [
+ "simready.foundation.tier_core.capabilities.core.naming_paths.validation.AssetFolderStructureChecker",
+ "simready.foundation.tier_core.capabilities.core.naming_paths.validation.DirectoryStructureChecker",
+ "simready.foundation.tier_core.capabilities.core.naming_paths.validation.FileNamingConventionChecker",
+ "simready.foundation.tier_core.capabilities.core.naming_paths.validation.MetadataLocationChecker",
+ "simready.foundation.tier_core.capabilities.core.naming_paths.validation.PathLengthLimitsChecker",
+ "simready.foundation.tier_core.capabilities.core.naming_paths.validation.PathsExistChecker",
+ "simready.foundation.tier_core.capabilities.core.naming_paths.validation.RelativePathsChecker",
+ "simready.foundation.tier_core.capabilities.core.runtime_variants.validation.RuntimePhysicsIsolationChecker",
+ "simready.foundation.tier_core.capabilities.core.runtime_variants.validation.RuntimeVariantSectionPurityChecker",
+ "simready.foundation.tier_core.capabilities.core.sim_ready.validation.MetadataUnion",
+ "simready.foundation.tier_core.capabilities.core.sim_ready.validation.SimReadyCapabilityChecker",
+ "simready.foundation.tier_core.capabilities.core.sim_ready.validation.ThumbnailExists",
+ "simready.foundation.tier_core.capabilities.core.units.validation.MetersPerUnit1Checker",
+ "simready.foundation.tier_core.capabilities.core.units.validation.UpAxisZChecker",
+ "simready.foundation.tier_core.capabilities.hierarchy.validation.UndefinedPrimsChecker",
+ "simready.foundation.tier_core.capabilities.isaac_sim.composition.validation.IsaacCompositionCapabilityChecker",
+ "simready.foundation.tier_core.capabilities.nonvisual_sensors.nonvisual_materials.validation.NonVisualMaterialsCapabilityChecker",
+ "simready.foundation.tier_core.capabilities.physics_bodies.physics_graspable.validation.GraspableVectorLineChecker",
+ "simready.foundation.tier_core.capabilities.physics_bodies.physics_joints.validation.ArticulationChecker",
+ "simready.foundation.tier_core.capabilities.physics_bodies.physics_joints.validation.PhysicsJointCapabilityChecker",
+ "simready.foundation.tier_core.capabilities.physics_bodies.physics_materials.validation.PhysicsMaterialsCapabilityChecker",
+ "simready.foundation.tier_core.capabilities.physics_bodies.physics_rigid_bodies.validation.InvisibleCollisionMeshHasPurposeGuide",
+ "simready.foundation.tier_core.capabilities.physics_bodies.physics_rigid_bodies.validation.MultibodyChecker",
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diff --git a/runs/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/report.html b/runs/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/report.html
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-SimReadyBench resultsSimReadyBench results
Formal fidelity measures SimReady Robotics-Prop requirements. Visual fidelity combines shape and appearance materials. Kinematic fidelity measures joint recovery and motion correspondence. Each score is reported independently.
90 of 100 reconstruction attempts completed.
Scores CSV | Detailed results JSON
Results by asset
| Asset | Model | Harness | Skills | Repetition | Status | Formal fidelity (%) | Visual fidelity (%) | Kinematic fidelity (%) | SimReady Robotics-Prop optional | Shape (%) | Rigid parts (%) | Joints (%) | Materials (%) | Model requests | Validation calls | Request errors | Elapsed time (s) | Model request time (s) | Input tokens | Output tokens | Total tokens | Inference cost (USD) | Compute cost (USD) | Total cost (USD) |
|---|
| accessory_eyeglasses_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 40.21% (0.804287/2) | 0% (0/2) | 72.55% (37/51) | 52.24% (0.5224/1) | 19.32% (0.772785/4) | 0% (0/29) | 13.91% (2134/15341) | 50 | 3 | 0 | 782.55 | 685.58 | 1496445 | 30258 | 1526703 | Not measured | Not measured | Not measured |
| accessory_eyeglasses_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 66.28% (1.32561/2) | 0% (0/2) | 64.71% (33/51) | 79.03% (0.790262/1) | 37.83% (1.51339/4) | 62.07% (18/29) | 56.49% (8666/15341) | 40 | 3 | 0 | 578.87 | 501.9 | 977861 | 22812 | 1000673 | Not measured | Not measured | Not measured |
| accessory_eyeglasses_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 85.47% (1.7094/2) | 0% (0/2) | 76.47% (39/51) | 84.81% (0.848127/1) | 46.21% (1.84845/4) | 62.07% (18/29) | 58.59% (8988/15341) | 38 | 4 | 0 | 691.4 | 595.07 | 1047023 | 28367 | 1075390 | Not measured | Not measured | Not measured |
| accessory_eyeglasses_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 63.84% (1.27689/2) | 0% (0/2) | 72.55% (37/51) | 77.15% (0.771528/1) | 37.55% (1.50198/4) | 62.07% (18/29) | 20.42% (3132/15341) | 37 | 3 | 0 | 631.73 | 558.26 | 1069125 | 25375 | 1094500 | Not measured | Not measured | Not measured |
| box_cardboard_open_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 80.4% (1.60807/2) | N/A | 70.59% (36/51) | 82.18% (0.821836/1) | 82.18% (0.821836/1) | N/A | 44.95% (6444/14336) | 29 | 3 | 0 | 431.15 | 384.27 | 558400 | 16418 | 574818 | Not measured | Not measured | Not measured |
| box_cardboard_open_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 0% (0/2) | N/A | 74.51% (38/51) | 83.63% (0.836295/1) | 83.63% (0.836295/1) | N/A | 34.05% (4881/14336) | 29 | 2 | 0 | 407.12 | 352.85 | 574540 | 16108 | 590648 | Not measured | Not measured | Not measured |
| box_cardboard_open_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 0% (0/2) | N/A | 74.51% (38/51) | 77.87% (0.778707/1) | 77.87% (0.778707/1) | N/A | 30.91% (4431/14336) | 32 | 3 | 0 | 463.45 | 405.81 | 717656 | 17729 | 735385 | Not measured | Not measured | Not measured |
| box_cardboard_open_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 76.59% (1.53173/2) | N/A | 74.51% (38/51) | 77.8% (0.778012/1) | 77.8% (0.778012/1) | N/A | 43.08% (6176/14336) | 41 | 3 | 0 | 576.55 | 510.91 | 1062333 | 21815 | 1084148 | Not measured | Not measured | Not measured |
| bucket_utility_red_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 41.49% (0.829812/2) | 0.01% (0.000121476/1) | 76.47% (39/51) | 54.74% (0.547449/1) | 28.71% (0.574159/2) | 63.64% (7/11) | 31.4% (5136/16356) | 43 | 4 | 0 | 805.12 | 716.05 | 1649778 | 31556 | 1681334 | Not measured | Not measured | Not measured |
| bucket_utility_red_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 43.33% (0.866571/2) | 0.34% (0.00336069/1) | 70.59% (36/51) | 58.21% (0.58211/1) | 29.27% (0.585487/2) | 54.55% (6/11) | 32.31% (5285/16356) | 35 | 2 | 0 | 532.75 | 470.83 | 789652 | 20782 | 810434 | Not measured | Not measured | Not measured |
| bucket_utility_red_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 0% (0/2) | 0.01% (8.61068e-05/1) | 72.55% (37/51) | 73.1% (0.730956/1) | 37.68% (0.753671/2) | 72.73% (8/11) | 9.62% (1573/16356) | 36 | 3 | 0 | 607.49 | 534.77 | 951282 | 24345 | 975627 | Not measured | Not measured | Not measured |
| bucket_utility_red_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 35.87% (0.717405/2) | 0.27% (0.00266133/1) | 72.55% (37/51) | 47.74% (0.477375/1) | 36.57% (0.731475/2) | 63.64% (7/11) | 13.35% (2184/16356) | 35 | 3 | 0 | 573.88 | 507.19 | 763684 | 22833 | 786517 | Not measured | Not measured | Not measured |
| chair_office_amf_black_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 76.44% (1.52878/2) | 0% (0/1) | 68.63% (35/51) | 74.46% (0.744639/1) | 21.7% (0.216991/1) | N/A | 31.78% (5207/16384) | 34 | 3 | 0 | 703.39 | 625.71 | 898085 | 27574 | 925659 | Not measured | Not measured | Not measured |
| chair_office_amf_black_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 43.66% (0.873218/2) | N/A | 68.63% (35/51) | 59.83% (0.598322/1) | 59.83% (0.598322/1) | N/A | 23.96% (3925/16384) | 40 | 3 | 0 | 633.2 | 558.55 | 1060920 | 24443 | 1085363 | Not measured | Not measured | Not measured |
| chair_office_amf_black_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 80.58% (1.61164/2) | 0% (0/1) | 76.47% (39/51) | 79.3% (0.793004/1) | 26.9% (0.268992/1) | N/A | 30.74% (5036/16384) | 39 | 3 | 0 | 685.16 | 618.7 | 891533 | 28320 | 919853 | Not measured | Not measured | Not measured |
| chair_office_amf_black_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 53.63% (1.07263/2) | 0% (0/1) | 76.47% (39/51) | 74.19% (0.741903/1) | 16.1% (0.16101/1) | N/A | 29.11% (4770/16384) | 39 | 4 | 0 | 573.97 | 493.46 | 1135730 | 22000 | 1157730 | Not measured | Not measured | Not measured |
| cleaning_cloth_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 0% (0/2) | N/A | 74.51% (38/51) | 90.94% (0.909413/1) | 90.94% (0.909413/1) | N/A | 39.07% (5601/14336) | 45 | 3 | 0 | 927.19 | 656.51 | 1454939 | 24112 | 1479051 | Not measured | Not measured | Not measured |
| cleaning_cloth_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 0% (0/2) | N/A | 74.51% (38/51) | 97.57% (0.975744/1) | 97.57% (0.975744/1) | N/A | 14.29% (2048/14336) | 37 | 2 | 0 | 634.25 | 500.96 | 874517 | 21134 | 895651 | Not measured | Not measured | Not measured |
| cleaning_cloth_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 99.24% (1.98482/2) | N/A | 74.51% (38/51) | 98.49% (0.984882/1) | 98.49% (0.984882/1) | N/A | 28.57% (4096/14336) | 36 | 4 | 0 | 723.44 | 563.47 | 1049555 | 24686 | 1074241 | Not measured | Not measured | Not measured |
| container_bottle_glass_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 80.72% (1.61437/2) | N/A | 74.51% (38/51) | 81.71% (0.817125/1) | 81.71% (0.817125/1) | N/A | 29.9% (4899/16384) | 36 | 3 | 0 | 562.03 | 496.66 | 896829 | 21319 | 918148 | Not measured | Not measured | Not measured |
| container_bottle_glass_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 90.98% (1.81958/2) | N/A | 74.51% (38/51) | 90.94% (0.909423/1) | 90.94% (0.909423/1) | N/A | 68.26% (11184/16384) | 32 | 2 | 0 | 366.66 | 320.67 | 520124 | 14220 | 534344 | Not measured | Not measured | Not measured |
| container_bottle_glass_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 0% (0/2) | N/A | 66.67% (34/51) | 81.06% (0.810559/1) | 81.06% (0.810559/1) | N/A | 49.19% (8060/16384) | 29 | 2 | 0 | 383.45 | 331.67 | 523142 | 14382 | 537524 | Not measured | Not measured | Not measured |
| container_bottle_glass_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 86.65% (1.73301/2) | N/A | 74.51% (38/51) | 87.47% (0.874685/1) | 87.47% (0.874685/1) | N/A | 64.38% (10548/16384) | 31 | 3 | 0 | 427.21 | 364.45 | 583865 | 17011 | 600876 | Not measured | Not measured | Not measured |
| engineComponent_camshaft_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 88.94% (1.77876/2) | N/A | 68.63% (35/51) | 83.03% (0.83032/1) | 83.03% (0.83032/1) | N/A | 68.05% (9755/14336) | 35 | 2 | 0 | 585.38 | 498.69 | 685698 | 20938 | 706636 | Not measured | Not measured | Not measured |
| engineComponent_camshaft_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 0% (0/2) | N/A | 74.51% (38/51) | 92.25% (0.922452/1) | 92.25% (0.922452/1) | N/A | 13.35% (1914/14336) | 35 | 3 | 0 | 476.47 | 420.94 | 792475 | 18052 | 810527 | Not measured | Not measured | Not measured |
| engineComponent_camshaft_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 94.44% (1.88877/2) | 0% (0/1) | 76.47% (39/51) | 93.91% (0.939092/1) | 50% (0.5/1) | N/A | 65.85% (9440/14336) | 28 | 2 | 0 | 476.92 | 398.76 | 631113 | 17682 | 648795 | Not measured | Not measured | Not measured |
| engineComponent_camshaft_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 0% (0/2) | N/A | 64.71% (33/51) | 82.91% (0.829092/1) | 82.91% (0.829092/1) | N/A | 12.8% (1835/14336) | 35 | 2 | 0 | 495.14 | 421.45 | 861161 | 16684 | 877845 | Not measured | Not measured | Not measured |
| food_beverage_coffeeCup_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 72.53% (1.45061/2) | 100% (1/1) | 74.51% (38/51) | 95.87% (0.95874/1) | 95.2% (1.90396/2) | 88.89% (8/9) | 31.53% (6458/20480) | 47 | 3 | 0 | 595.82 | 538.51 | 1221647 | 21670 | 1243317 | Not measured | Not measured | Not measured |
| food_beverage_coffeeCup_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 71.92% (1.4383/2) | 66.67% (0.666667/1) | 76.47% (39/51) | 96.09% (0.960929/1) | 66.67% (1.33333/2) | 77.78% (7/9) | 57.68% (11813/20480) | 38 | 3 | 0 | 709.44 | 603.02 | 1329399 | 24664 | 1354063 | Not measured | Not measured | Not measured |
| food_prepared_croissant_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 61.34% (1.22685/2) | N/A | 74.51% (38/51) | 81.36% (0.813564/1) | 81.36% (0.813564/1) | N/A | 26.82% (5493/20480) | 31 | 3 | 0 | 576.94 | 428.09 | 633347 | 19361 | 652708 | Not measured | Not measured | Not measured |
| food_prepared_croissant_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 52.5% (1.04996/2) | N/A | 74.51% (38/51) | 69.73% (0.697265/1) | 69.73% (0.697265/1) | N/A | 36.74% (7525/20480) | 39 | 3 | 0 | 731.69 | 545.15 | 1023670 | 23468 | 1047138 | Not measured | Not measured | Not measured |
| food_prepared_croissant_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 45.81% (0.916291/2) | N/A | 74.51% (38/51) | 81.26% (0.812608/1) | 81.26% (0.812608/1) | N/A | 18.64% (3817/20480) | 40 | 3 | 0 | 735.6 | 576.47 | 1168721 | 26338 | 1195059 | Not measured | Not measured | Not measured |
| food_prepared_croissant_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 49.91% (0.998201/2) | N/A | 74.51% (38/51) | 64.86% (0.648645/1) | 64.86% (0.648645/1) | N/A | 42.72% (8750/20480) | 36 | 3 | 0 | 537.72 | 438.36 | 705627 | 17033 | 722660 | Not measured | Not measured | Not measured |
| food_produce_banana_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 40.94% (0.818773/2) | N/A | 74.51% (38/51) | 72.57% (0.725665/1) | 72.57% (0.725665/1) | N/A | 16.19% (3316/20480) | 26 | 2 | 0 | 575.19 | 395.28 | 611928 | 18503 | 630431 | Not measured | Not measured | Not measured |
| food_produce_banana_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 40.26% (0.80513/2) | N/A | 70.59% (36/51) | 65.62% (0.656246/1) | 65.62% (0.656246/1) | N/A | 28.83% (5905/20480) | 33 | 3 | 0 | 553.73 | 464.09 | Not measured | Not measured | Not measured | Not measured | Not measured | Not measured |
| food_produce_banana_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 41.81% (0.836119/2) | N/A | 74.51% (38/51) | 73.2% (0.731976/1) | 73.2% (0.731976/1) | N/A | 30.98% (6345/20480) | 29 | 3 | 0 | 479.22 | 322.51 | 699909 | 15132 | 715041 | Not measured | Not measured | Not measured |
| food_produce_banana_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 42.14% (0.842893/2) | N/A | 74.51% (38/51) | 75.04% (0.750407/1) | 75.04% (0.750407/1) | N/A | 17.05% (3492/20480) | 34 | 3 | 0 | 445.8 | 350.72 | 889062 | 16134 | 905196 | Not measured | Not measured | Not measured |
| food_produce_broccoli_b01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 19.37% (0.387413/2) | N/A | 70.59% (36/51) | 32.63% (0.326308/1) | 32.63% (0.326308/1) | N/A | 19.79% (4052/20480) | 41 | 3 | 0 | 578.42 | 489.11 | 919313 | 20121 | 939434 | Not measured | Not measured | Not measured |
| food_produce_broccoli_b01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 14.87% (0.297407/2) | N/A | 74.51% (38/51) | 28% (0.279981/1) | 28% (0.279981/1) | N/A | 6% (1228/20480) | 30 | 2 | 0 | 540.6 | 429.05 | 674005 | 18334 | 692339 | Not measured | Not measured | Not measured |
| food_produce_broccoli_b01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 11.69% (0.2338/2) | N/A | 74.51% (38/51) | 22.17% (0.22168/1) | 22.17% (0.22168/1) | N/A | 9.12% (1867/20480) | 31 | 3 | 0 | 878.56 | 747.76 | Not measured | Not measured | Not measured | Not measured | Not measured | Not measured |
| food_produce_broccoli_b01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 15.27% (0.305363/2) | N/A | 74.51% (38/51) | 21.29% (0.212897/1) | 21.29% (0.212897/1) | N/A | 12.43% (2545/20480) | 34 | 3 | 0 | 628.61 | 455.92 | 761914 | 19385 | 781299 | Not measured | Not measured | Not measured |
| handTool_hammer_crossPeen_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 96.62% (1.93244/2) | N/A | 74.51% (38/51) | 97.72% (0.97724/1) | 97.72% (0.97724/1) | N/A | 56.41% (8397/14886) | 34 | 3 | 0 | 647.77 | 573.35 | 1080321 | 25872 | 1106193 | Not measured | Not measured | Not measured |
| handTool_hammer_crossPeen_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 30.61% (0.612167/2) | N/A | 72.55% (37/51) | 89.45% (0.894505/1) | 89.45% (0.894505/1) | N/A | 40% (5955/14886) | 38 | 3 | 0 | 681.27 | 567.85 | 1207554 | 26511 | 1234065 | Not measured | Not measured | Not measured |
| handTool_hammer_crossPeen_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 84.12% (1.68244/2) | N/A | 74.51% (38/51) | 88.42% (0.884239/1) | 88.42% (0.884239/1) | N/A | 50.14% (7464/14886) | 34 | 3 | 0 | 529.57 | 448.06 | 947887 | 22185 | 970072 | Not measured | Not measured | Not measured |
| handTool_hammer_crossPeen_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 92.03% (1.84065/2) | N/A | 74.51% (38/51) | 93.59% (0.935882/1) | 93.59% (0.935882/1) | N/A | 41.05% (6110/14886) | 37 | 3 | 0 | 695.31 | 575.08 | 1091634 | 25232 | 1116866 | Not measured | Not measured | Not measured |
| handTool_wrench_adjustable_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 0% (0/2) | 12.98% (0.129841/1) | 74.51% (38/51) | 94.04% (0.940356/1) | 85.22% (2.55663/3) | 85.71% (18/21) | 13.55% (1943/14342) | 37 | 3 | 0 | 832.49 | 753.37 | 1128020 | 36729 | 1164749 | Not measured | Not measured | Not measured |
| handTool_wrench_adjustable_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 95.74% (1.91471/2) | 2.78% (0.0277882/1) | 66.67% (34/51) | 94.99% (0.949922/1) | 66.84% (2.00529/3) | 76.19% (16/21) | 27.6% (3958/14342) | 39 | 3 | 0 | 727.54 | 619.31 | 1087001 | 28408 | 1115409 | Not measured | Not measured | Not measured |
| handTruck_convertible_steel_red_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 11.49% (0.229774/2) | 1.92% (0.0191566/1) | 76.47% (39/51) | 61.9% (0.619044/1) | 34.39% (3.78339/11) | 35.64% (36/101) | 13.52% (2216/16395) | 38 | 3 | 0 | 702.5 | 625.83 | 1006459 | 28758 | 1035217 | Not measured | Not measured | Not measured |
| handTruck_convertible_steel_red_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 52.4% (1.04797/2) | 7.47% (0.0746683/1) | 68.63% (35/51) | 67.09% (0.670874/1) | 25.25% (2.77789/11) | 36.63% (37/101) | 19.09% (3129/16395) | 38 | 3 | 0 | 694.82 | 639.45 | 1008585 | 28396 | 1036981 | Not measured | Not measured | Not measured |
| handTruck_convertible_steel_red_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 44.33% (0.886592/2) | 1.03% (0.0103275/1) | 76.47% (39/51) | 59.81% (0.59815/1) | 24.62% (2.70797/11) | 31.68% (32/101) | 35.39% (5803/16395) | 43 | 3 | 0 | 687.1 | 611.92 | 1356378 | 27848 | 1384226 | Not measured | Not measured | Not measured |
| handTruck_convertible_steel_red_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 11.43% (0.228673/2) | 2.08% (0.0207818/1) | 74.51% (38/51) | 57.37% (0.57371/1) | 25.4% (2.7936/11) | 35.64% (36/101) | 8.06% (1322/16395) | 48 | 4 | 0 | 645.05 | 568.03 | 1640122 | 23578 | 1663700 | Not measured | Not measured | Not measured |
| kitchenware_kettle_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 57.28% (1.14561/2) | 0% (0/2) | 76.47% (39/51) | 82.68% (0.826772/1) | 40.14% (1.60573/4) | 25.81% (8/31) | 24.6% (5039/20480) | 38 | 3 | 0 | 758.22 | 649.57 | 1173908 | 29697 | 1203605 | Not measured | Not measured | Not measured |
| kitchenware_kettle_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 52.94% (1.05874/2) | 0% (0/2) | 66.67% (34/51) | 77.69% (0.776879/1) | 55.92% (2.23685/4) | 54.84% (17/31) | 23.71% (4856/20480) | 35 | 2 | 0 | 566.63 | 501.09 | 875218 | 21685 | 896903 | Not measured | Not measured | Not measured |
| kitchenware_kettle_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 64.02% (1.28046/2) | 0% (0/2) | 76.47% (39/51) | 81.25% (0.812455/1) | 56.45% (2.25805/4) | 54.84% (17/31) | 29.14% (5968/20480) | 37 | 3 | 0 | 664.89 | 575.41 | 967446 | 27860 | 995306 | Not measured | Not measured | Not measured |
| kitchenware_pan_j01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 77.61% (1.55225/2) | 0% (0/1) | 76.47% (39/51) | 99.95% (0.999511/1) | 50% (0.5/1) | N/A | 34.11% (6985/20480) | 28 | 3 | 0 | 474.61 | 401.24 | 579142 | 20253 | 599395 | Not measured | Not measured | Not measured |
| kitchenware_pan_j01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 74.44% (1.48878/2) | 0% (0/1) | 72.55% (37/51) | 99.85% (0.998533/1) | 50% (0.5/1) | N/A | 32.17% (6588/20480) | 32 | 3 | 0 | 443.26 | 371.54 | 656466 | 18454 | 674920 | Not measured | Not measured | Not measured |
| kitchenware_pan_j01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 68.59% (1.3718/2) | 0% (0/1) | 74.51% (38/51) | 100% (1/1) | 50% (0.5/1) | N/A | 48.82% (9998/20480) | 31 | 3 | 0 | 638.58 | 455.72 | 772136 | 23035 | 795171 | Not measured | Not measured | Not measured |
| pallet_wood_recycled_a05 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 0% (0/2) | N/A | 74.51% (38/51) | 100% (1/1) | 100% (1/1) | N/A | 42.86% (6144/14336) | 35 | 3 | 0 | 509.48 | 404.91 | 658904 | 17018 | 675922 | Not measured | Not measured | Not measured |
| pallet_wood_recycled_a05 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 100% (2/2) | N/A | 72.55% (37/51) | 100% (1/1) | 100% (1/1) | N/A | 57.14% (8192/14336) | 30 | 3 | 0 | 483.99 | 377.17 | 669539 | 16690 | 686229 | Not measured | Not measured | Not measured |
| pallet_wood_recycled_a05 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 0% (0/2) | N/A | 74.51% (38/51) | 100% (1/1) | 100% (1/1) | N/A | 42.86% (6144/14336) | 36 | 4 | 0 | 481.52 | 379.66 | 882364 | 16779 | 899143 | Not measured | Not measured | Not measured |
| pallet_wood_recycled_a05 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 0% (0/2) | N/A | 76.47% (39/51) | 95.87% (0.958726/1) | 95.87% (0.958726/1) | N/A | 40.93% (5868/14336) | 39 | 3 | 0 | 604.94 | 433.84 | 1052873 | 19460 | 1072333 | Not measured | Not measured | Not measured |
| powerTool_drill_b01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 0% (0/2) | 0% (0/2) | 76.47% (39/51) | 56.26% (0.562628/1) | 44.04% (3.08281/7) | 64.41% (38/59) | 9.75% (1398/14336) | 36 | 3 | 0 | 889.13 | 724.35 | 1251387 | 37909 | 1289296 | Not measured | Not measured | Not measured |
| powerTool_drill_b01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 72.42% (1.4484/2) | 0% (0/2) | 76.47% (39/51) | 70.2% (0.702029/1) | 53.44% (3.74082/7) | 64.41% (38/59) | 27.3% (3914/14336) | 43 | 4 | 0 | 908.22 | 813.13 | 1679495 | 42371 | 1721866 | Not measured | Not measured | Not measured |
| ppe_helmet_hardHat_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 0% (0/2) | N/A | 74.51% (38/51) | 70.08% (0.70082/1) | 70.08% (0.70082/1) | N/A | 28.51% (4482/15722) | 39 | 3 | 0 | 742.31 | 651.14 | 1240702 | 28463 | 1269165 | Not measured | Not measured | Not measured |
| ppe_helmet_hardHat_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 51.62% (1.03245/2) | 0% (0/1) | 74.51% (38/51) | 61.36% (0.613561/1) | 50% (0.5/1) | N/A | 42.9% (6745/15722) | 43 | 4 | 0 | 631.73 | 539.34 | 1164052 | 24743 | 1188795 | Not measured | Not measured | Not measured |
| ppe_helmet_hardHat_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 42.26% (0.8451/2) | N/A | 74.51% (38/51) | 50.75% (0.507519/1) | 50.75% (0.507519/1) | N/A | 13.55% (2130/15722) | 32 | 3 | 0 | 510.66 | 438.32 | 643908 | 20213 | 664121 | Not measured | Not measured | Not measured |
| ppe_helmet_hardHat_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 39.15% (0.78302/2) | N/A | 74.51% (38/51) | 47.74% (0.477441/1) | 47.74% (0.477441/1) | N/A | 24.53% (3856/15722) | 38 | 3 | 0 | 536.05 | 410.9 | 760089 | 18154 | 778243 | Not measured | Not measured | Not measured |
| serviceTool_funnel_flexibleSpout_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 19.39% (0.387886/2) | N/A | 74.51% (38/51) | 27.12% (0.271244/1) | 27.12% (0.271244/1) | N/A | 6.53% (1066/16337) | 33 | 3 | 0 | 603.45 | 489.27 | 708585 | 22174 | 730759 | Not measured | Not measured | Not measured |
| serviceTool_funnel_flexibleSpout_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 19.37% (0.387495/2) | N/A | 74.51% (38/51) | 26.46% (0.26464/1) | 26.46% (0.26464/1) | N/A | 13.34% (2180/16337) | 31 | 3 | 0 | 596.15 | 515.32 | 688980 | 22564 | 711544 | Not measured | Not measured | Not measured |
| serviceTool_funnel_flexibleSpout_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 12.27% (0.245403/2) | N/A | 72.55% (37/51) | 18.08% (0.180844/1) | 18.08% (0.180844/1) | N/A | 8.01% (1308/16337) | 48 | 3 | 0 | 743.68 | 614.79 | 1276209 | 26532 | 1302741 | Not measured | Not measured | Not measured |
| serviceTool_funnel_flexibleSpout_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 0% (0/2) | N/A | 70.59% (36/51) | 23.47% (0.234665/1) | 23.47% (0.234665/1) | N/A | 8.1% (1323/16337) | 40 | 3 | 0 | 673.26 | 612.46 | 1116578 | 27075 | 1143653 | Not measured | Not measured | Not measured |
| sign_wetFloor_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 0% (0/2) | 0.29% (0.00291905/1) | 78.43% (40/51) | 88.38% (0.883811/1) | 86.7% (1.73408/2) | 72.73% (8/11) | 13.97% (2003/14336) | 40 | 3 | 0 | 588.99 | 542.43 | 1053333 | 26663 | 1079996 | Not measured | Not measured | Not measured |
| sign_wetFloor_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 0% (0/2) | 0.29% (0.00290334/1) | 78.43% (40/51) | 89.64% (0.896445/1) | 86.99% (1.73977/2) | 72.73% (8/11) | 13.96% (2001/14336) | 38 | 3 | 0 | 732.15 | 680.92 | 1301076 | 29715 | 1330791 | Not measured | Not measured | Not measured |
| sign_wetFloor_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 94.87% (1.89739/2) | 0.28% (0.00281919/1) | 78.43% (40/51) | 92.77% (0.927655/1) | 90.28% (1.80552/2) | 72.73% (8/11) | 27.72% (3974/14336) | 38 | 4 | 0 | 538.59 | 475.35 | 1072585 | 22841 | 1095426 | Not measured | Not measured | Not measured |
| sign_wetFloor_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 93.73% (1.87453/2) | 1.04% (0.0103524/1) | 76.47% (39/51) | 89.86% (0.89865/1) | 86.53% (1.73058/2) | 72.73% (8/11) | 33.11% (4747/14336) | 33 | 3 | 0 | 476.94 | 424.58 | 728787 | 19581 | 748368 | Not measured | Not measured | Not measured |
| suspension_coilover_rear_b01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 74.05% (1.48097/2) | 0% (0/2) | 76.47% (39/51) | 71.03% (0.710278/1) | 50% (0.5/1) | N/A | 22.06% (3162/14336) | 35 | 4 | 0 | 594.38 | 483.32 | 1125764 | 21918 | 1147682 | Not measured | Not measured | Not measured |
| suspension_coilover_rear_b01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 0% (0/2) | 0% (0/2) | 76.47% (39/51) | 79.53% (0.795253/1) | 50% (0.5/1) | N/A | 11.75% (1685/14336) | 29 | 3 | 0 | 604.82 | 509.72 | 712051 | 23817 | 735868 | Not measured | Not measured | Not measured |
| suspension_coilover_rear_b01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 77.37% (1.54744/2) | 0% (0/2) | 76.47% (39/51) | 76.87% (0.768669/1) | 50% (0.5/1) | N/A | 23.45% (3362/14336) | 33 | 3 | 0 | 551.09 | 474.09 | 781173 | 23042 | 804215 | Not measured | Not measured | Not measured |
| suspension_coilover_rear_b01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 80.47% (1.6094/2) | 0% (0/2) | 76.47% (39/51) | 77.92% (0.779179/1) | 50% (0.5/1) | N/A | 23.74% (3404/14336) | 31 | 3 | 0 | 633.41 | 542.7 | 885217 | 26670 | 911887 | Not measured | Not measured | Not measured |
| tools_fireExtinguisher_CO2_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 48.93% (0.978648/2) | 0% (0/2) | 76.47% (39/51) | 92% (0.920016/1) | 39.33% (1.57302/4) | 0% (0/29) | 29.56% (6005/20314) | 38 | 3 | 0 | 630.27 | 589.61 | 1013307 | 28172 | 1041479 | Not measured | Not measured | Not measured |
| tools_fireExtinguisher_CO2_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 13.75% (0.274976/2) | 0% (0/2) | 68.63% (35/51) | 84.16% (0.841593/1) | 40.79% (1.63149/4) | 55.17% (16/29) | 10.11% (2054/20314) | 37 | 3 | 0 | 665.86 | 621.91 | 976539 | 28165 | 1004704 | Not measured | Not measured | Not measured |
| tools_fireExtinguisher_CO2_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 43.29% (0.865729/2) | 0% (0/2) | 74.51% (38/51) | 78.55% (0.785542/1) | 42.75% (1.71006/4) | 58.62% (17/29) | 35.13% (7137/20314) | 34 | 3 | 0 | 552.62 | 502.47 | 843377 | 24350 | 867727 | Not measured | Not measured | Not measured |
| tools_fireExtinguisher_CO2_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 12.44% (0.248802/2) | 5.76% (0.115144/2) | 76.47% (39/51) | 81.79% (0.817911/1) | 47.2% (1.88818/4) | 51.72% (15/29) | 25.89% (5259/20314) | 31 | 3 | 0 | 644.3 | 611.53 | 965822 | 28473 | 994295 | Not measured | Not measured | Not measured |
| utensils_scissors_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 79.02% (1.58048/2) | 0% (0/1) | 76.47% (39/51) | 93.13% (0.931318/1) | 50% (1.5/3) | 0% (0/21) | 54.65% (11192/20480) | 28 | 3 | 0 | 530.21 | 445.14 | 590919 | 20788 | 611707 | Not measured | Not measured | Not measured |
| utensils_scissors_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 66.66% (1.33321/2) | 0% (0/1) | 74.51% (38/51) | 93.58% (0.935789/1) | 50% (1.5/3) | 0% (0/21) | 75.21% (15404/20480) | 36 | 3 | 0 | 552.98 | 487.16 | Not measured | Not measured | Not measured | Not measured | Not measured | Not measured |
| utensils_scissors_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 84.57% (1.69136/2) | 0% (0/1) | 74.51% (38/51) | 93.92% (0.939195/1) | 50% (1.5/3) | 0% (0/21) | 58.53% (11986/20480) | 39 | 4 | 0 | 496.2 | 437.73 | 820579 | 20047 | 840626 | Not measured | Not measured | Not measured |
| utensils_scissors_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 74.1% (1.48206/2) | 0% (0/1) | 76.47% (39/51) | 90.8% (0.908039/1) | 50% (1.5/3) | 0% (0/21) | 61.01% (12494/20480) | 33 | 3 | 0 | 523.05 | 464.6 | 742963 | 21760 | 764723 | Not measured | Not measured | Not measured |
| wheelAssembly_wheel_rim_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 55.49% (1.10988/2) | N/A | 68.63% (35/51) | 57.39% (0.57388/1) | 57.39% (0.57388/1) | N/A | 30.66% (4396/14336) | 43 | 3 | 0 | 633.11 | 514.88 | 989969 | 22374 | 1012343 | Not measured | Not measured | Not measured |
| wheelAssembly_wheel_rim_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 0% (0/2) | N/A | 62.75% (32/51) | 56.54% (0.5654/1) | 56.54% (0.5654/1) | N/A | 23.71% (3399/14336) | 26 | 3 | 0 | 687.03 | 584.14 | 660631 | 27196 | 687827 | Not measured | Not measured | Not measured |
| wheelAssembly_wheel_rim_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 54.6% (1.09203/2) | 0% (0/1) | 72.55% (37/51) | 54.71% (0.54711/1) | 50% (0.5/1) | N/A | 31.14% (4464/14336) | 38 | 3 | 0 | 596.45 | 500.5 | 850309 | 21855 | 872164 | Not measured | Not measured | Not measured |
suspension_coilover_rear_b01 / gpt-6.1-sol / repetition 1
| Model | Harness | Skills | Repetition | Status |
|---|
| gpt-6.1-sol | pi | none | 1 | completed |
| Formal fidelity (%) | Visual fidelity (%) | Kinematic fidelity (%) | SimReady Robotics-Prop optional | Shape (%) | Rigid parts (%) | Joints (%) | Materials (%) |
|---|
| 100% (46/46) | 74.05% (1.48097/2) | 0% (0/2) | 76.47% (39/51) | 71.03% (0.710278/1) | 50% (0.5/1) | N/A | 22.06% (3162/14336) |
Requests, timing and costs
| Model requests | Validation calls | Request errors | Elapsed time (s) | Model request time (s) | Input tokens | Output tokens | Total tokens | Inference cost (USD) | Compute cost (USD) | Total cost (USD) |
|---|
| 35 | 4 | 0 | 594.38 | 483.32 | 1125764 | 21918 | 1147682 | Not measured | Not measured | Not measured |
46 of 46 mandatory requirements passed.
Direct USD reconstruction fidelity
| Component | Fidelity (%) | Credit | Measured | Eligible | Reference coverage (%) |
|---|
| Shape | 71.03 | 0.710278/1 | 1 | 1 | 100 |
| Rigid parts | 50 | 0.5/1 | 1 | 1 | 100 |
| Joints | Not applicable | 0/0 | 0 | 0 | 0 |
| Materials | 22.06 | 3162/14336 | 14336 | 14336 | 58.33 |
Appearance materials
| Score (%) | Earned/eligible | Status |
|---|
| 77.2 | 1581/2048 | measured |
Kinematic correspondence
| Factor | Score (%) | Earned/eligible | Measured/eligible | Coverage (%) |
|---|
| Fixed constraints | 0 | 0/2 | 2/2 | 100 |
| Moving joints | 0 | 0/1 | 1/1 | 100 |
| Reference joint | Candidate joint | Score (%) | Motion RMS (mm) | Status |
|---|
Surface correspondence
| Precision (%) | Recall (%) | Samples per direction | Distance band (mm) | RMS distance (mm) | 95th-percentile distance (mm) |
|---|
| 65.77 | 77.2 | 2048 | 9.5 | 12.36 | 25.14 |
Rigid-part correspondence
| Reference body | Candidate body | Surface correspondence (%) |
|---|
| /RootNode/Geometry/body_01_obj_00 | /Coilover/DamperHousing | 61.84 |
Joint correspondence
| Reference joints | Candidate joints | Passed/eligible checks |
|---|
| 0 | 3 | 0/0 |
Rigid-structure checks
| Feature | Passed/eligible | Measured/eligible |
|---|
| body_count | 0/1 | 1/1 |
| joint_inventory_count | 0/1 | 1/1 |
| body_enabled | 1/1 | 1/1 |
| body_kinematic | 1/1 | 1/1 |
Material correspondence
| Property | Credit/eligible | Correspondence (%) |
|---|
| physics:assignment | 0/2048 | 0 |
| physics:density | 0/2048 | 0 |
| physics:dynamicFriction | 0/2048 | 0 |
| physics:restitution | 0/2048 | 0 |
| physics:staticFriction | 0/2048 | 0 |
| visual:assignment | 1581/2048 | 77.2 |
| visual:opacity | 1581/2048 | 77.2 |
Generated USD | Asset package manifest | NVIDIA validation findings | Harbor trajectory 1
suspension_coilover_rear_b01 / gpt-6.1-sol / repetition 2
| Model | Harness | Skills | Repetition | Status |
|---|
| gpt-6.1-sol | pi | none | 2 | completed |
| Formal fidelity (%) | Visual fidelity (%) | Kinematic fidelity (%) | SimReady Robotics-Prop optional | Shape (%) | Rigid parts (%) | Joints (%) | Materials (%) |
|---|
| 100% (46/46) | 0% (0/2) | 0% (0/2) | 76.47% (39/51) | 79.53% (0.795253/1) | 50% (0.5/1) | N/A | 11.75% (1685/14336) |
Requests, timing and costs
| Model requests | Validation calls | Request errors | Elapsed time (s) | Model request time (s) | Input tokens | Output tokens | Total tokens | Inference cost (USD) | Compute cost (USD) | Total cost (USD) |
|---|
| 29 | 3 | 0 | 604.82 | 509.72 | 712051 | 23817 | 735868 | Not measured | Not measured | Not measured |
46 of 46 mandatory requirements passed.
Direct USD reconstruction fidelity
| Component | Fidelity (%) | Credit | Measured | Eligible | Reference coverage (%) |
|---|
| Shape | 79.53 | 0.795253/1 | 1 | 1 | 100 |
| Rigid parts | 50 | 0.5/1 | 1 | 1 | 100 |
| Joints | Not applicable | 0/0 | 0 | 0 | 0 |
| Materials | 11.75 | 1685/14336 | 14336 | 14336 | 58.33 |
Appearance materials
| Score (%) | Earned/eligible | Status |
|---|
| 0 | 0/2048 | measured |
Kinematic correspondence
| Factor | Score (%) | Earned/eligible | Measured/eligible | Coverage (%) |
|---|
| Fixed constraints | 0 | 0/1 | 1/1 | 100 |
| Moving joints | 0 | 0/1 | 1/1 | 100 |
| Reference joint | Candidate joint | Score (%) | Motion RMS (mm) | Status |
|---|
Surface correspondence
| Precision (%) | Recall (%) | Samples per direction | Distance band (mm) | RMS distance (mm) | 95th-percentile distance (mm) |
|---|
| 76.95 | 82.28 | 2048 | 9.5 | 12.29 | 25.1 |
Rigid-part correspondence
| Reference body | Candidate body | Surface correspondence (%) |
|---|
| /RootNode/Geometry/body_01_obj_00 | /Coilover/Housing | 66.37 |
Joint correspondence
| Reference joints | Candidate joints | Passed/eligible checks |
|---|
| 0 | 2 | 0/0 |
Rigid-structure checks
| Feature | Passed/eligible | Measured/eligible |
|---|
| body_count | 0/1 | 1/1 |
| joint_inventory_count | 0/1 | 1/1 |
| body_enabled | 1/1 | 1/1 |
| body_kinematic | 1/1 | 1/1 |
Material correspondence
| Property | Credit/eligible | Correspondence (%) |
|---|
| physics:assignment | 0/2048 | 0 |
| physics:density | 0/2048 | 0 |
| physics:dynamicFriction | 0/2048 | 0 |
| physics:restitution | 0/2048 | 0 |
| physics:staticFriction | 0/2048 | 0 |
| visual:assignment | 1685/2048 | 82.28 |
| visual:opacity | 0/2048 | 0 |
Generated USD | Asset package manifest | NVIDIA validation findings | Harbor trajectory 1
suspension_coilover_rear_b01 / gpt-6.1-sol / repetition 3
| Model | Harness | Skills | Repetition | Status |
|---|
| gpt-6.1-sol | pi | none | 3 | completed |
| Formal fidelity (%) | Visual fidelity (%) | Kinematic fidelity (%) | SimReady Robotics-Prop optional | Shape (%) | Rigid parts (%) | Joints (%) | Materials (%) |
|---|
| 100% (46/46) | 77.37% (1.54744/2) | 0% (0/2) | 76.47% (39/51) | 76.87% (0.768669/1) | 50% (0.5/1) | N/A | 23.45% (3362/14336) |
Requests, timing and costs
| Model requests | Validation calls | Request errors | Elapsed time (s) | Model request time (s) | Input tokens | Output tokens | Total tokens | Inference cost (USD) | Compute cost (USD) | Total cost (USD) |
|---|
| 33 | 3 | 0 | 551.09 | 474.09 | 781173 | 23042 | 804215 | Not measured | Not measured | Not measured |
46 of 46 mandatory requirements passed.
Direct USD reconstruction fidelity
| Component | Fidelity (%) | Credit | Measured | Eligible | Reference coverage (%) |
|---|
| Shape | 76.87 | 0.768669/1 | 1 | 1 | 100 |
| Rigid parts | 50 | 0.5/1 | 1 | 1 | 100 |
| Joints | Not applicable | 0/0 | 0 | 0 | 0 |
| Materials | 23.45 | 3362/14336 | 14336 | 14336 | 58.33 |
Appearance materials
| Score (%) | Earned/eligible | Status |
|---|
| 77.88 | 1595/2048 | measured |
Kinematic correspondence
| Factor | Score (%) | Earned/eligible | Measured/eligible | Coverage (%) |
|---|
| Fixed constraints | 0 | 0/1 | 1/1 | 100 |
| Moving joints | 0 | 0/1 | 1/1 | 100 |
| Reference joint | Candidate joint | Score (%) | Motion RMS (mm) | Status |
|---|
Surface correspondence
| Precision (%) | Recall (%) | Samples per direction | Distance band (mm) | RMS distance (mm) | 95th-percentile distance (mm) |
|---|
| 75.88 | 77.88 | 2048 | 9.5 | 10.99 | 22.6 |
Rigid-part correspondence
| Reference body | Candidate body | Surface correspondence (%) |
|---|
| /RootNode/Geometry/body_01_obj_00 | /Coilover/DamperHousing | 61.86 |
Joint correspondence
| Reference joints | Candidate joints | Passed/eligible checks |
|---|
| 0 | 2 | 0/0 |
Rigid-structure checks
| Feature | Passed/eligible | Measured/eligible |
|---|
| body_count | 0/1 | 1/1 |
| joint_inventory_count | 0/1 | 1/1 |
| body_enabled | 1/1 | 1/1 |
| body_kinematic | 1/1 | 1/1 |
Material correspondence
| Property | Credit/eligible | Correspondence (%) |
|---|
| physics:assignment | 86/2048 | 4.2 |
| physics:density | 0/2048 | 0 |
| physics:dynamicFriction | 86/2048 | 4.2 |
| physics:restitution | 0/2048 | 0 |
| physics:staticFriction | 0/2048 | 0 |
| visual:assignment | 1595/2048 | 77.88 |
| visual:opacity | 1595/2048 | 77.88 |
Generated USD | Asset package manifest | NVIDIA validation findings | Harbor trajectory 1
\ No newline at end of file
+SimReadyBench resultsSimReadyBench results
Formal fidelity measures SimReady Robotics-Prop requirements. Visual fidelity combines shape and appearance materials. Kinematic fidelity measures joint recovery and motion correspondence. Each score is reported independently.
93 of 100 reconstruction attempts completed.
Scores CSV | Detailed results JSON
Results by asset
| Asset | Model | Harness | Skills | Repetition | Status | Formal fidelity (%) | Visual fidelity (%) | Kinematic fidelity (%) | SimReady Robotics-Prop optional | Shape (%) | Rigid parts (%) | Joints (%) | Materials (%) | Model requests | Validation calls | Request errors | Elapsed time (s) | Model request time (s) | Input tokens | Output tokens | Total tokens | Inference cost (USD) | Compute cost (USD) | Total cost (USD) |
|---|
| accessory_eyeglasses_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 40.21% (0.804287/2) | 0% (0/2) | 72.55% (37/51) | 52.24% (0.5224/1) | 19.32% (0.772785/4) | 0% (0/29) | 13.91% (2134/15341) | 50 | 3 | 0 | 782.55 | 685.58 | 1496445 | 30258 | 1526703 | Not measured | Not measured | Not measured |
| accessory_eyeglasses_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 66.28% (1.32561/2) | 0% (0/2) | 64.71% (33/51) | 79.03% (0.790262/1) | 37.83% (1.51339/4) | 62.07% (18/29) | 56.49% (8666/15341) | 40 | 3 | 0 | 578.87 | 501.9 | 977861 | 22812 | 1000673 | Not measured | Not measured | Not measured |
| accessory_eyeglasses_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 85.47% (1.7094/2) | 0% (0/2) | 76.47% (39/51) | 84.81% (0.848127/1) | 46.21% (1.84845/4) | 62.07% (18/29) | 58.59% (8988/15341) | 38 | 4 | 0 | 691.4 | 595.07 | 1047023 | 28367 | 1075390 | Not measured | Not measured | Not measured |
| accessory_eyeglasses_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 63.84% (1.27689/2) | 0% (0/2) | 72.55% (37/51) | 77.15% (0.771528/1) | 37.55% (1.50198/4) | 62.07% (18/29) | 20.42% (3132/15341) | 37 | 3 | 0 | 631.73 | 558.26 | 1069125 | 25375 | 1094500 | Not measured | Not measured | Not measured |
| box_cardboard_open_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 80.4% (1.60807/2) | N/A | 70.59% (36/51) | 82.18% (0.821836/1) | 82.18% (0.821836/1) | N/A | 44.95% (6444/14336) | 29 | 3 | 0 | 431.15 | 384.27 | 558400 | 16418 | 574818 | Not measured | Not measured | Not measured |
| box_cardboard_open_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 0% (0/2) | N/A | 74.51% (38/51) | 83.63% (0.836295/1) | 83.63% (0.836295/1) | N/A | 34.05% (4881/14336) | 29 | 2 | 0 | 407.12 | 352.85 | 574540 | 16108 | 590648 | Not measured | Not measured | Not measured |
| box_cardboard_open_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 0% (0/2) | N/A | 74.51% (38/51) | 77.87% (0.778707/1) | 77.87% (0.778707/1) | N/A | 30.91% (4431/14336) | 32 | 3 | 0 | 463.45 | 405.81 | 717656 | 17729 | 735385 | Not measured | Not measured | Not measured |
| box_cardboard_open_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 76.59% (1.53173/2) | N/A | 74.51% (38/51) | 77.8% (0.778012/1) | 77.8% (0.778012/1) | N/A | 43.08% (6176/14336) | 41 | 3 | 0 | 576.55 | 510.91 | 1062333 | 21815 | 1084148 | Not measured | Not measured | Not measured |
| bucket_utility_red_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 41.49% (0.829812/2) | 0.01% (0.000121476/1) | 76.47% (39/51) | 54.74% (0.547449/1) | 28.71% (0.574159/2) | 63.64% (7/11) | 31.4% (5136/16356) | 43 | 4 | 0 | 805.12 | 716.05 | 1649778 | 31556 | 1681334 | Not measured | Not measured | Not measured |
| bucket_utility_red_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 43.33% (0.866571/2) | 0.34% (0.00336069/1) | 70.59% (36/51) | 58.21% (0.58211/1) | 29.27% (0.585487/2) | 54.55% (6/11) | 32.31% (5285/16356) | 35 | 2 | 0 | 532.75 | 470.83 | 789652 | 20782 | 810434 | Not measured | Not measured | Not measured |
| bucket_utility_red_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 0% (0/2) | 0.01% (8.61068e-05/1) | 72.55% (37/51) | 73.1% (0.730956/1) | 37.68% (0.753671/2) | 72.73% (8/11) | 9.62% (1573/16356) | 36 | 3 | 0 | 607.49 | 534.77 | 951282 | 24345 | 975627 | Not measured | Not measured | Not measured |
| bucket_utility_red_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 35.87% (0.717405/2) | 0.27% (0.00266133/1) | 72.55% (37/51) | 47.74% (0.477375/1) | 36.57% (0.731475/2) | 63.64% (7/11) | 13.35% (2184/16356) | 35 | 3 | 0 | 573.88 | 507.19 | 763684 | 22833 | 786517 | Not measured | Not measured | Not measured |
| chair_office_amf_black_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 76.44% (1.52878/2) | 0% (0/1) | 68.63% (35/51) | 74.46% (0.744639/1) | 21.7% (0.216991/1) | N/A | 31.78% (5207/16384) | 34 | 3 | 0 | 703.39 | 625.71 | 898085 | 27574 | 925659 | Not measured | Not measured | Not measured |
| chair_office_amf_black_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 43.66% (0.873218/2) | N/A | 68.63% (35/51) | 59.83% (0.598322/1) | 59.83% (0.598322/1) | N/A | 23.96% (3925/16384) | 40 | 3 | 0 | 633.2 | 558.55 | 1060920 | 24443 | 1085363 | Not measured | Not measured | Not measured |
| chair_office_amf_black_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 80.58% (1.61164/2) | 0% (0/1) | 76.47% (39/51) | 79.3% (0.793004/1) | 26.9% (0.268992/1) | N/A | 30.74% (5036/16384) | 39 | 3 | 0 | 685.16 | 618.7 | 891533 | 28320 | 919853 | Not measured | Not measured | Not measured |
| chair_office_amf_black_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 53.63% (1.07263/2) | 0% (0/1) | 76.47% (39/51) | 74.19% (0.741903/1) | 16.1% (0.16101/1) | N/A | 29.11% (4770/16384) | 39 | 4 | 0 | 573.97 | 493.46 | 1135730 | 22000 | 1157730 | Not measured | Not measured | Not measured |
| cleaning_cloth_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 0% (0/2) | N/A | 74.51% (38/51) | 90.94% (0.909413/1) | 90.94% (0.909413/1) | N/A | 39.07% (5601/14336) | 45 | 3 | 0 | 927.19 | 656.51 | 1454939 | 24112 | 1479051 | Not measured | Not measured | Not measured |
| cleaning_cloth_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 0% (0/2) | N/A | 74.51% (38/51) | 97.57% (0.975744/1) | 97.57% (0.975744/1) | N/A | 14.29% (2048/14336) | 37 | 2 | 0 | 634.25 | 500.96 | 874517 | 21134 | 895651 | Not measured | Not measured | Not measured |
| cleaning_cloth_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 99.24% (1.98482/2) | N/A | 74.51% (38/51) | 98.49% (0.984882/1) | 98.49% (0.984882/1) | N/A | 28.57% (4096/14336) | 36 | 4 | 0 | 723.44 | 563.47 | 1049555 | 24686 | 1074241 | Not measured | Not measured | Not measured |
| container_bottle_glass_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 80.72% (1.61437/2) | N/A | 74.51% (38/51) | 81.71% (0.817125/1) | 81.71% (0.817125/1) | N/A | 29.9% (4899/16384) | 36 | 3 | 0 | 562.03 | 496.66 | 896829 | 21319 | 918148 | Not measured | Not measured | Not measured |
| container_bottle_glass_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 90.98% (1.81958/2) | N/A | 74.51% (38/51) | 90.94% (0.909423/1) | 90.94% (0.909423/1) | N/A | 68.26% (11184/16384) | 32 | 2 | 0 | 366.66 | 320.67 | 520124 | 14220 | 534344 | Not measured | Not measured | Not measured |
| container_bottle_glass_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 0% (0/2) | N/A | 66.67% (34/51) | 81.06% (0.810559/1) | 81.06% (0.810559/1) | N/A | 49.19% (8060/16384) | 29 | 2 | 0 | 383.45 | 331.67 | 523142 | 14382 | 537524 | Not measured | Not measured | Not measured |
| container_bottle_glass_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 86.65% (1.73301/2) | N/A | 74.51% (38/51) | 87.47% (0.874685/1) | 87.47% (0.874685/1) | N/A | 64.38% (10548/16384) | 31 | 3 | 0 | 427.21 | 364.45 | 583865 | 17011 | 600876 | Not measured | Not measured | Not measured |
| engineComponent_camshaft_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 88.94% (1.77876/2) | N/A | 68.63% (35/51) | 83.03% (0.83032/1) | 83.03% (0.83032/1) | N/A | 68.05% (9755/14336) | 35 | 2 | 0 | 585.38 | 498.69 | 685698 | 20938 | 706636 | Not measured | Not measured | Not measured |
| engineComponent_camshaft_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 0% (0/2) | N/A | 74.51% (38/51) | 92.25% (0.922452/1) | 92.25% (0.922452/1) | N/A | 13.35% (1914/14336) | 35 | 3 | 0 | 476.47 | 420.94 | 792475 | 18052 | 810527 | Not measured | Not measured | Not measured |
| engineComponent_camshaft_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 94.44% (1.88877/2) | 0% (0/1) | 76.47% (39/51) | 93.91% (0.939092/1) | 50% (0.5/1) | N/A | 65.85% (9440/14336) | 28 | 2 | 0 | 476.92 | 398.76 | 631113 | 17682 | 648795 | Not measured | Not measured | Not measured |
| engineComponent_camshaft_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 0% (0/2) | N/A | 64.71% (33/51) | 82.91% (0.829092/1) | 82.91% (0.829092/1) | N/A | 12.8% (1835/14336) | 35 | 2 | 0 | 495.14 | 421.45 | 861161 | 16684 | 877845 | Not measured | Not measured | Not measured |
| food_beverage_coffeeCup_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 72.53% (1.45061/2) | 100% (1/1) | 74.51% (38/51) | 95.87% (0.95874/1) | 95.2% (1.90396/2) | 88.89% (8/9) | 31.53% (6458/20480) | 47 | 3 | 0 | 595.82 | 538.51 | 1221647 | 21670 | 1243317 | Not measured | Not measured | Not measured |
| food_beverage_coffeeCup_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 71.92% (1.4383/2) | 66.67% (0.666667/1) | 76.47% (39/51) | 96.09% (0.960929/1) | 66.67% (1.33333/2) | 77.78% (7/9) | 57.68% (11813/20480) | 38 | 3 | 0 | 709.44 | 603.02 | 1329399 | 24664 | 1354063 | Not measured | Not measured | Not measured |
| food_prepared_croissant_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 61.34% (1.22685/2) | N/A | 74.51% (38/51) | 81.36% (0.813564/1) | 81.36% (0.813564/1) | N/A | 26.82% (5493/20480) | 31 | 3 | 0 | 576.94 | 428.09 | 633347 | 19361 | 652708 | Not measured | Not measured | Not measured |
| food_prepared_croissant_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 52.5% (1.04996/2) | N/A | 74.51% (38/51) | 69.73% (0.697265/1) | 69.73% (0.697265/1) | N/A | 36.74% (7525/20480) | 39 | 3 | 0 | 731.69 | 545.15 | 1023670 | 23468 | 1047138 | Not measured | Not measured | Not measured |
| food_prepared_croissant_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 45.81% (0.916291/2) | N/A | 74.51% (38/51) | 81.26% (0.812608/1) | 81.26% (0.812608/1) | N/A | 18.64% (3817/20480) | 40 | 3 | 0 | 735.6 | 576.47 | 1168721 | 26338 | 1195059 | Not measured | Not measured | Not measured |
| food_prepared_croissant_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 49.91% (0.998201/2) | N/A | 74.51% (38/51) | 64.86% (0.648645/1) | 64.86% (0.648645/1) | N/A | 42.72% (8750/20480) | 36 | 3 | 0 | 537.72 | 438.36 | 705627 | 17033 | 722660 | Not measured | Not measured | Not measured |
| food_produce_banana_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 40.94% (0.818773/2) | N/A | 74.51% (38/51) | 72.57% (0.725665/1) | 72.57% (0.725665/1) | N/A | 16.19% (3316/20480) | 26 | 2 | 0 | 575.19 | 395.28 | 611928 | 18503 | 630431 | Not measured | Not measured | Not measured |
| food_produce_banana_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 40.26% (0.80513/2) | N/A | 70.59% (36/51) | 65.62% (0.656246/1) | 65.62% (0.656246/1) | N/A | 28.83% (5905/20480) | 33 | 3 | 0 | 553.73 | 464.09 | Not measured | Not measured | Not measured | Not measured | Not measured | Not measured |
| food_produce_banana_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 41.81% (0.836119/2) | N/A | 74.51% (38/51) | 73.2% (0.731976/1) | 73.2% (0.731976/1) | N/A | 30.98% (6345/20480) | 29 | 3 | 0 | 479.22 | 322.51 | 699909 | 15132 | 715041 | Not measured | Not measured | Not measured |
| food_produce_banana_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 42.14% (0.842893/2) | N/A | 74.51% (38/51) | 75.04% (0.750407/1) | 75.04% (0.750407/1) | N/A | 17.05% (3492/20480) | 34 | 3 | 0 | 445.8 | 350.72 | 889062 | 16134 | 905196 | Not measured | Not measured | Not measured |
| food_produce_broccoli_b01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 19.37% (0.387413/2) | N/A | 70.59% (36/51) | 32.63% (0.326308/1) | 32.63% (0.326308/1) | N/A | 19.79% (4052/20480) | 41 | 3 | 0 | 578.42 | 489.11 | 919313 | 20121 | 939434 | Not measured | Not measured | Not measured |
| food_produce_broccoli_b01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 14.87% (0.297407/2) | N/A | 74.51% (38/51) | 28% (0.279981/1) | 28% (0.279981/1) | N/A | 6% (1228/20480) | 30 | 2 | 0 | 540.6 | 429.05 | 674005 | 18334 | 692339 | Not measured | Not measured | Not measured |
| food_produce_broccoli_b01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 11.69% (0.2338/2) | N/A | 74.51% (38/51) | 22.17% (0.22168/1) | 22.17% (0.22168/1) | N/A | 9.12% (1867/20480) | 31 | 3 | 0 | 878.56 | 747.76 | Not measured | Not measured | Not measured | Not measured | Not measured | Not measured |
| food_produce_broccoli_b01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 15.27% (0.305363/2) | N/A | 74.51% (38/51) | 21.29% (0.212897/1) | 21.29% (0.212897/1) | N/A | 12.43% (2545/20480) | 34 | 3 | 0 | 628.61 | 455.92 | 761914 | 19385 | 781299 | Not measured | Not measured | Not measured |
| handTool_hammer_crossPeen_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 96.62% (1.93244/2) | N/A | 74.51% (38/51) | 97.72% (0.97724/1) | 97.72% (0.97724/1) | N/A | 56.41% (8397/14886) | 34 | 3 | 0 | 647.77 | 573.35 | 1080321 | 25872 | 1106193 | Not measured | Not measured | Not measured |
| handTool_hammer_crossPeen_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 30.61% (0.612167/2) | N/A | 72.55% (37/51) | 89.45% (0.894505/1) | 89.45% (0.894505/1) | N/A | 40% (5955/14886) | 38 | 3 | 0 | 681.27 | 567.85 | 1207554 | 26511 | 1234065 | Not measured | Not measured | Not measured |
| handTool_hammer_crossPeen_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 84.12% (1.68244/2) | N/A | 74.51% (38/51) | 88.42% (0.884239/1) | 88.42% (0.884239/1) | N/A | 50.14% (7464/14886) | 34 | 3 | 0 | 529.57 | 448.06 | 947887 | 22185 | 970072 | Not measured | Not measured | Not measured |
| handTool_hammer_crossPeen_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 92.03% (1.84065/2) | N/A | 74.51% (38/51) | 93.59% (0.935882/1) | 93.59% (0.935882/1) | N/A | 41.05% (6110/14886) | 37 | 3 | 0 | 695.31 | 575.08 | 1091634 | 25232 | 1116866 | Not measured | Not measured | Not measured |
| handTool_wrench_adjustable_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 0% (0/2) | 12.98% (0.129841/1) | 74.51% (38/51) | 94.04% (0.940356/1) | 85.22% (2.55663/3) | 85.71% (18/21) | 13.55% (1943/14342) | 37 | 3 | 0 | 832.49 | 753.37 | 1128020 | 36729 | 1164749 | Not measured | Not measured | Not measured |
| handTool_wrench_adjustable_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 0% (0/2) | 16.67% (0.166689/1) | 68.63% (35/51) | 91.88% (0.918831/1) | 87.04% (2.61109/3) | 90.48% (19/21) | 12.98% (1861/14342) | 34 | 3 | 0 | 946.13 | 589.49 | 962660 | 27727 | 990387 | Not measured | Not measured | Not measured |
| handTool_wrench_adjustable_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 95.74% (1.91471/2) | 2.78% (0.0277882/1) | 66.67% (34/51) | 94.99% (0.949922/1) | 66.84% (2.00529/3) | 76.19% (16/21) | 27.6% (3958/14342) | 39 | 3 | 0 | 727.54 | 619.31 | 1087001 | 28408 | 1115409 | Not measured | Not measured | Not measured |
| handTruck_convertible_steel_red_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 11.49% (0.229774/2) | 1.92% (0.0191566/1) | 76.47% (39/51) | 61.9% (0.619044/1) | 34.39% (3.78339/11) | 35.64% (36/101) | 13.52% (2216/16395) | 38 | 3 | 0 | 702.5 | 625.83 | 1006459 | 28758 | 1035217 | Not measured | Not measured | Not measured |
| handTruck_convertible_steel_red_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 52.4% (1.04797/2) | 7.47% (0.0746683/1) | 68.63% (35/51) | 67.09% (0.670874/1) | 25.25% (2.77789/11) | 36.63% (37/101) | 19.09% (3129/16395) | 38 | 3 | 0 | 694.82 | 639.45 | 1008585 | 28396 | 1036981 | Not measured | Not measured | Not measured |
| handTruck_convertible_steel_red_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 44.33% (0.886592/2) | 1.03% (0.0103275/1) | 76.47% (39/51) | 59.81% (0.59815/1) | 24.62% (2.70797/11) | 31.68% (32/101) | 35.39% (5803/16395) | 43 | 3 | 0 | 687.1 | 611.92 | 1356378 | 27848 | 1384226 | Not measured | Not measured | Not measured |
| handTruck_convertible_steel_red_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 11.43% (0.228673/2) | 2.08% (0.0207818/1) | 74.51% (38/51) | 57.37% (0.57371/1) | 25.4% (2.7936/11) | 35.64% (36/101) | 8.06% (1322/16395) | 48 | 4 | 0 | 645.05 | 568.03 | 1640122 | 23578 | 1663700 | Not measured | Not measured | Not measured |
| kitchenware_kettle_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 57.28% (1.14561/2) | 0% (0/2) | 76.47% (39/51) | 82.68% (0.826772/1) | 40.14% (1.60573/4) | 25.81% (8/31) | 24.6% (5039/20480) | 38 | 3 | 0 | 758.22 | 649.57 | 1173908 | 29697 | 1203605 | Not measured | Not measured | Not measured |
| kitchenware_kettle_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 52.94% (1.05874/2) | 0% (0/2) | 66.67% (34/51) | 77.69% (0.776879/1) | 55.92% (2.23685/4) | 54.84% (17/31) | 23.71% (4856/20480) | 35 | 2 | 0 | 566.63 | 501.09 | 875218 | 21685 | 896903 | Not measured | Not measured | Not measured |
| kitchenware_kettle_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 64.02% (1.28046/2) | 0% (0/2) | 76.47% (39/51) | 81.25% (0.812455/1) | 56.45% (2.25805/4) | 54.84% (17/31) | 29.14% (5968/20480) | 37 | 3 | 0 | 664.89 | 575.41 | 967446 | 27860 | 995306 | Not measured | Not measured | Not measured |
| kitchenware_kettle_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 67.74% (1.35473/2) | 0% (0/2) | 76.47% (39/51) | 83.23% (0.832303/1) | 62.53% (2.50119/4) | 58.06% (18/31) | 30.92% (6332/20480) | 36 | 3 | 0 | 684.58 | 609.12 | 873262 | 26585 | 899847 | Not measured | Not measured | Not measured |
| kitchenware_pan_j01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 77.61% (1.55225/2) | 0% (0/1) | 76.47% (39/51) | 99.95% (0.999511/1) | 50% (0.5/1) | N/A | 34.11% (6985/20480) | 28 | 3 | 0 | 474.61 | 401.24 | 579142 | 20253 | 599395 | Not measured | Not measured | Not measured |
| kitchenware_pan_j01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 74.44% (1.48878/2) | 0% (0/1) | 72.55% (37/51) | 99.85% (0.998533/1) | 50% (0.5/1) | N/A | 32.17% (6588/20480) | 32 | 3 | 0 | 443.26 | 371.54 | 656466 | 18454 | 674920 | Not measured | Not measured | Not measured |
| kitchenware_pan_j01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 68.59% (1.3718/2) | 0% (0/1) | 74.51% (38/51) | 100% (1/1) | 50% (0.5/1) | N/A | 48.82% (9998/20480) | 31 | 3 | 0 | 638.58 | 455.72 | 772136 | 23035 | 795171 | Not measured | Not measured | Not measured |
| pallet_wood_recycled_a05 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 0% (0/2) | N/A | 74.51% (38/51) | 100% (1/1) | 100% (1/1) | N/A | 42.86% (6144/14336) | 35 | 3 | 0 | 509.48 | 404.91 | 658904 | 17018 | 675922 | Not measured | Not measured | Not measured |
| pallet_wood_recycled_a05 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 100% (2/2) | N/A | 72.55% (37/51) | 100% (1/1) | 100% (1/1) | N/A | 57.14% (8192/14336) | 30 | 3 | 0 | 483.99 | 377.17 | 669539 | 16690 | 686229 | Not measured | Not measured | Not measured |
| pallet_wood_recycled_a05 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 0% (0/2) | N/A | 74.51% (38/51) | 100% (1/1) | 100% (1/1) | N/A | 42.86% (6144/14336) | 36 | 4 | 0 | 481.52 | 379.66 | 882364 | 16779 | 899143 | Not measured | Not measured | Not measured |
| pallet_wood_recycled_a05 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 0% (0/2) | N/A | 76.47% (39/51) | 95.87% (0.958726/1) | 95.87% (0.958726/1) | N/A | 40.93% (5868/14336) | 39 | 3 | 0 | 604.94 | 433.84 | 1052873 | 19460 | 1072333 | Not measured | Not measured | Not measured |
| powerTool_drill_b01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 0% (0/2) | 0% (0/2) | 76.47% (39/51) | 56.26% (0.562628/1) | 44.04% (3.08281/7) | 64.41% (38/59) | 9.75% (1398/14336) | 36 | 3 | 0 | 889.13 | 724.35 | 1251387 | 37909 | 1289296 | Not measured | Not measured | Not measured |
| powerTool_drill_b01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 72.42% (1.4484/2) | 0% (0/2) | 76.47% (39/51) | 70.2% (0.702029/1) | 53.44% (3.74082/7) | 64.41% (38/59) | 27.3% (3914/14336) | 43 | 4 | 0 | 908.22 | 813.13 | 1679495 | 42371 | 1721866 | Not measured | Not measured | Not measured |
| ppe_helmet_hardHat_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 0% (0/2) | N/A | 74.51% (38/51) | 70.08% (0.70082/1) | 70.08% (0.70082/1) | N/A | 28.51% (4482/15722) | 39 | 3 | 0 | 742.31 | 651.14 | 1240702 | 28463 | 1269165 | Not measured | Not measured | Not measured |
| ppe_helmet_hardHat_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 51.62% (1.03245/2) | 0% (0/1) | 74.51% (38/51) | 61.36% (0.613561/1) | 50% (0.5/1) | N/A | 42.9% (6745/15722) | 43 | 4 | 0 | 631.73 | 539.34 | 1164052 | 24743 | 1188795 | Not measured | Not measured | Not measured |
| ppe_helmet_hardHat_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 42.26% (0.8451/2) | N/A | 74.51% (38/51) | 50.75% (0.507519/1) | 50.75% (0.507519/1) | N/A | 13.55% (2130/15722) | 32 | 3 | 0 | 510.66 | 438.32 | 643908 | 20213 | 664121 | Not measured | Not measured | Not measured |
| ppe_helmet_hardHat_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 39.15% (0.78302/2) | N/A | 74.51% (38/51) | 47.74% (0.477441/1) | 47.74% (0.477441/1) | N/A | 24.53% (3856/15722) | 38 | 3 | 0 | 536.05 | 410.9 | 760089 | 18154 | 778243 | Not measured | Not measured | Not measured |
| serviceTool_funnel_flexibleSpout_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 19.39% (0.387886/2) | N/A | 74.51% (38/51) | 27.12% (0.271244/1) | 27.12% (0.271244/1) | N/A | 6.53% (1066/16337) | 33 | 3 | 0 | 603.45 | 489.27 | 708585 | 22174 | 730759 | Not measured | Not measured | Not measured |
| serviceTool_funnel_flexibleSpout_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 19.37% (0.387495/2) | N/A | 74.51% (38/51) | 26.46% (0.26464/1) | 26.46% (0.26464/1) | N/A | 13.34% (2180/16337) | 31 | 3 | 0 | 596.15 | 515.32 | 688980 | 22564 | 711544 | Not measured | Not measured | Not measured |
| serviceTool_funnel_flexibleSpout_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 12.27% (0.245403/2) | N/A | 72.55% (37/51) | 18.08% (0.180844/1) | 18.08% (0.180844/1) | N/A | 8.01% (1308/16337) | 48 | 3 | 0 | 743.68 | 614.79 | 1276209 | 26532 | 1302741 | Not measured | Not measured | Not measured |
| serviceTool_funnel_flexibleSpout_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 0% (0/2) | N/A | 70.59% (36/51) | 23.47% (0.234665/1) | 23.47% (0.234665/1) | N/A | 8.1% (1323/16337) | 40 | 3 | 0 | 673.26 | 612.46 | 1116578 | 27075 | 1143653 | Not measured | Not measured | Not measured |
| sign_wetFloor_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 0% (0/2) | 0.29% (0.00291905/1) | 78.43% (40/51) | 88.38% (0.883811/1) | 86.7% (1.73408/2) | 72.73% (8/11) | 13.97% (2003/14336) | 40 | 3 | 0 | 588.99 | 542.43 | 1053333 | 26663 | 1079996 | Not measured | Not measured | Not measured |
| sign_wetFloor_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 0% (0/2) | 0.29% (0.00290334/1) | 78.43% (40/51) | 89.64% (0.896445/1) | 86.99% (1.73977/2) | 72.73% (8/11) | 13.96% (2001/14336) | 38 | 3 | 0 | 732.15 | 680.92 | 1301076 | 29715 | 1330791 | Not measured | Not measured | Not measured |
| sign_wetFloor_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 94.87% (1.89739/2) | 0.28% (0.00281919/1) | 78.43% (40/51) | 92.77% (0.927655/1) | 90.28% (1.80552/2) | 72.73% (8/11) | 27.72% (3974/14336) | 38 | 4 | 0 | 538.59 | 475.35 | 1072585 | 22841 | 1095426 | Not measured | Not measured | Not measured |
| sign_wetFloor_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 93.73% (1.87453/2) | 1.04% (0.0103524/1) | 76.47% (39/51) | 89.86% (0.89865/1) | 86.53% (1.73058/2) | 72.73% (8/11) | 33.11% (4747/14336) | 33 | 3 | 0 | 476.94 | 424.58 | 728787 | 19581 | 748368 | Not measured | Not measured | Not measured |
| suspension_coilover_rear_b01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 74.05% (1.48097/2) | 0% (0/2) | 76.47% (39/51) | 71.03% (0.710278/1) | 50% (0.5/1) | N/A | 22.06% (3162/14336) | 35 | 4 | 0 | 594.38 | 483.32 | 1125764 | 21918 | 1147682 | Not measured | Not measured | Not measured |
| suspension_coilover_rear_b01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 0% (0/2) | 0% (0/2) | 76.47% (39/51) | 79.53% (0.795253/1) | 50% (0.5/1) | N/A | 11.75% (1685/14336) | 29 | 3 | 0 | 604.82 | 509.72 | 712051 | 23817 | 735868 | Not measured | Not measured | Not measured |
| suspension_coilover_rear_b01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 77.37% (1.54744/2) | 0% (0/2) | 76.47% (39/51) | 76.87% (0.768669/1) | 50% (0.5/1) | N/A | 23.45% (3362/14336) | 33 | 3 | 0 | 551.09 | 474.09 | 781173 | 23042 | 804215 | Not measured | Not measured | Not measured |
| suspension_coilover_rear_b01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 80.47% (1.6094/2) | 0% (0/2) | 76.47% (39/51) | 77.92% (0.779179/1) | 50% (0.5/1) | N/A | 23.74% (3404/14336) | 31 | 3 | 0 | 633.41 | 542.7 | 885217 | 26670 | 911887 | Not measured | Not measured | Not measured |
| tools_fireExtinguisher_CO2_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 48.93% (0.978648/2) | 0% (0/2) | 76.47% (39/51) | 92% (0.920016/1) | 39.33% (1.57302/4) | 0% (0/29) | 29.56% (6005/20314) | 38 | 3 | 0 | 630.27 | 589.61 | 1013307 | 28172 | 1041479 | Not measured | Not measured | Not measured |
| tools_fireExtinguisher_CO2_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 13.75% (0.274976/2) | 0% (0/2) | 68.63% (35/51) | 84.16% (0.841593/1) | 40.79% (1.63149/4) | 55.17% (16/29) | 10.11% (2054/20314) | 37 | 3 | 0 | 665.86 | 621.91 | 976539 | 28165 | 1004704 | Not measured | Not measured | Not measured |
| tools_fireExtinguisher_CO2_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 43.29% (0.865729/2) | 0% (0/2) | 74.51% (38/51) | 78.55% (0.785542/1) | 42.75% (1.71006/4) | 58.62% (17/29) | 35.13% (7137/20314) | 34 | 3 | 0 | 552.62 | 502.47 | 843377 | 24350 | 867727 | Not measured | Not measured | Not measured |
| tools_fireExtinguisher_CO2_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 12.44% (0.248802/2) | 5.76% (0.115144/2) | 76.47% (39/51) | 81.79% (0.817911/1) | 47.2% (1.88818/4) | 51.72% (15/29) | 25.89% (5259/20314) | 31 | 3 | 0 | 644.3 | 611.53 | 965822 | 28473 | 994295 | Not measured | Not measured | Not measured |
| utensils_scissors_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 79.02% (1.58048/2) | 0% (0/1) | 76.47% (39/51) | 93.13% (0.931318/1) | 50% (1.5/3) | 0% (0/21) | 54.65% (11192/20480) | 28 | 3 | 0 | 530.21 | 445.14 | 590919 | 20788 | 611707 | Not measured | Not measured | Not measured |
| utensils_scissors_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 66.66% (1.33321/2) | 0% (0/1) | 74.51% (38/51) | 93.58% (0.935789/1) | 50% (1.5/3) | 0% (0/21) | 75.21% (15404/20480) | 36 | 3 | 0 | 552.98 | 487.16 | Not measured | Not measured | Not measured | Not measured | Not measured | Not measured |
| utensils_scissors_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 84.57% (1.69136/2) | 0% (0/1) | 74.51% (38/51) | 93.92% (0.939195/1) | 50% (1.5/3) | 0% (0/21) | 58.53% (11986/20480) | 39 | 4 | 0 | 496.2 | 437.73 | 820579 | 20047 | 840626 | Not measured | Not measured | Not measured |
| utensils_scissors_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 74.1% (1.48206/2) | 0% (0/1) | 76.47% (39/51) | 90.8% (0.908039/1) | 50% (1.5/3) | 0% (0/21) | 61.01% (12494/20480) | 33 | 3 | 0 | 523.05 | 464.6 | 742963 | 21760 | 764723 | Not measured | Not measured | Not measured |
| wheelAssembly_wheel_rim_a01 | gpt-6.1-sol | pi | none | 1 | completed | 100% (46/46) | 55.49% (1.10988/2) | N/A | 68.63% (35/51) | 57.39% (0.57388/1) | 57.39% (0.57388/1) | N/A | 30.66% (4396/14336) | 43 | 3 | 0 | 633.11 | 514.88 | 989969 | 22374 | 1012343 | Not measured | Not measured | Not measured |
| wheelAssembly_wheel_rim_a01 | gpt-6.1-sol | pi | none | 2 | completed | 100% (46/46) | 0% (0/2) | N/A | 62.75% (32/51) | 56.54% (0.5654/1) | 56.54% (0.5654/1) | N/A | 23.71% (3399/14336) | 26 | 3 | 0 | 687.03 | 584.14 | 660631 | 27196 | 687827 | Not measured | Not measured | Not measured |
| wheelAssembly_wheel_rim_a01 | gpt-6.1-sol | pi | none | 3 | completed | 100% (46/46) | 54.6% (1.09203/2) | 0% (0/1) | 72.55% (37/51) | 54.71% (0.54711/1) | 50% (0.5/1) | N/A | 31.14% (4464/14336) | 38 | 3 | 0 | 596.45 | 500.5 | 850309 | 21855 | 872164 | Not measured | Not measured | Not measured |
| wheelAssembly_wheel_rim_a01 | gpt-6.1-sol | pi | none | 4 | completed | 100% (46/46) | 65.68% (1.31365/2) | 0% (0/1) | 66.67% (34/51) | 66.53% (0.66532/1) | 50% (0.5/1) | N/A | 18.53% (2656/14336) | 42 | 3 | 0 | 739.3 | 606.79 | 1363165 | 25243 | 1388408 | Not measured | Not measured | Not measured |
suspension_coilover_rear_b01 / gpt-6.1-sol / repetition 1
| Model | Harness | Skills | Repetition | Status |
|---|
| gpt-6.1-sol | pi | none | 1 | completed |
| Formal fidelity (%) | Visual fidelity (%) | Kinematic fidelity (%) | SimReady Robotics-Prop optional | Shape (%) | Rigid parts (%) | Joints (%) | Materials (%) |
|---|
| 100% (46/46) | 74.05% (1.48097/2) | 0% (0/2) | 76.47% (39/51) | 71.03% (0.710278/1) | 50% (0.5/1) | N/A | 22.06% (3162/14336) |
Requests, timing and costs
| Model requests | Validation calls | Request errors | Elapsed time (s) | Model request time (s) | Input tokens | Output tokens | Total tokens | Inference cost (USD) | Compute cost (USD) | Total cost (USD) |
|---|
| 35 | 4 | 0 | 594.38 | 483.32 | 1125764 | 21918 | 1147682 | Not measured | Not measured | Not measured |
46 of 46 mandatory requirements passed.
Direct USD reconstruction fidelity
| Component | Fidelity (%) | Credit | Measured | Eligible | Reference coverage (%) |
|---|
| Shape | 71.03 | 0.710278/1 | 1 | 1 | 100 |
| Rigid parts | 50 | 0.5/1 | 1 | 1 | 100 |
| Joints | Not applicable | 0/0 | 0 | 0 | 0 |
| Materials | 22.06 | 3162/14336 | 14336 | 14336 | 58.33 |
Appearance materials
| Score (%) | Earned/eligible | Status |
|---|
| 77.2 | 1581/2048 | measured |
Kinematic correspondence
| Factor | Score (%) | Earned/eligible | Measured/eligible | Coverage (%) |
|---|
| Fixed constraints | 0 | 0/2 | 2/2 | 100 |
| Moving joints | 0 | 0/1 | 1/1 | 100 |
| Reference joint | Candidate joint | Score (%) | Motion RMS (mm) | Status |
|---|
Surface correspondence
| Precision (%) | Recall (%) | Samples per direction | Distance band (mm) | RMS distance (mm) | 95th-percentile distance (mm) |
|---|
| 65.77 | 77.2 | 2048 | 9.5 | 12.36 | 25.14 |
Rigid-part correspondence
| Reference body | Candidate body | Surface correspondence (%) |
|---|
| /RootNode/Geometry/body_01_obj_00 | /Coilover/DamperHousing | 61.84 |
Joint correspondence
| Reference joints | Candidate joints | Passed/eligible checks |
|---|
| 0 | 3 | 0/0 |
Rigid-structure checks
| Feature | Passed/eligible | Measured/eligible |
|---|
| body_count | 0/1 | 1/1 |
| joint_inventory_count | 0/1 | 1/1 |
| body_enabled | 1/1 | 1/1 |
| body_kinematic | 1/1 | 1/1 |
Material correspondence
| Property | Credit/eligible | Correspondence (%) |
|---|
| physics:assignment | 0/2048 | 0 |
| physics:density | 0/2048 | 0 |
| physics:dynamicFriction | 0/2048 | 0 |
| physics:restitution | 0/2048 | 0 |
| physics:staticFriction | 0/2048 | 0 |
| visual:assignment | 1581/2048 | 77.2 |
| visual:opacity | 1581/2048 | 77.2 |
Generated USD | Asset package manifest | NVIDIA validation findings | Harbor trajectory 1
suspension_coilover_rear_b01 / gpt-6.1-sol / repetition 2
| Model | Harness | Skills | Repetition | Status |
|---|
| gpt-6.1-sol | pi | none | 2 | completed |
| Formal fidelity (%) | Visual fidelity (%) | Kinematic fidelity (%) | SimReady Robotics-Prop optional | Shape (%) | Rigid parts (%) | Joints (%) | Materials (%) |
|---|
| 100% (46/46) | 0% (0/2) | 0% (0/2) | 76.47% (39/51) | 79.53% (0.795253/1) | 50% (0.5/1) | N/A | 11.75% (1685/14336) |
Requests, timing and costs
| Model requests | Validation calls | Request errors | Elapsed time (s) | Model request time (s) | Input tokens | Output tokens | Total tokens | Inference cost (USD) | Compute cost (USD) | Total cost (USD) |
|---|
| 29 | 3 | 0 | 604.82 | 509.72 | 712051 | 23817 | 735868 | Not measured | Not measured | Not measured |
46 of 46 mandatory requirements passed.
Direct USD reconstruction fidelity
| Component | Fidelity (%) | Credit | Measured | Eligible | Reference coverage (%) |
|---|
| Shape | 79.53 | 0.795253/1 | 1 | 1 | 100 |
| Rigid parts | 50 | 0.5/1 | 1 | 1 | 100 |
| Joints | Not applicable | 0/0 | 0 | 0 | 0 |
| Materials | 11.75 | 1685/14336 | 14336 | 14336 | 58.33 |
Appearance materials
| Score (%) | Earned/eligible | Status |
|---|
| 0 | 0/2048 | measured |
Kinematic correspondence
| Factor | Score (%) | Earned/eligible | Measured/eligible | Coverage (%) |
|---|
| Fixed constraints | 0 | 0/1 | 1/1 | 100 |
| Moving joints | 0 | 0/1 | 1/1 | 100 |
| Reference joint | Candidate joint | Score (%) | Motion RMS (mm) | Status |
|---|
Surface correspondence
| Precision (%) | Recall (%) | Samples per direction | Distance band (mm) | RMS distance (mm) | 95th-percentile distance (mm) |
|---|
| 76.95 | 82.28 | 2048 | 9.5 | 12.29 | 25.1 |
Rigid-part correspondence
| Reference body | Candidate body | Surface correspondence (%) |
|---|
| /RootNode/Geometry/body_01_obj_00 | /Coilover/Housing | 66.37 |
Joint correspondence
| Reference joints | Candidate joints | Passed/eligible checks |
|---|
| 0 | 2 | 0/0 |
Rigid-structure checks
| Feature | Passed/eligible | Measured/eligible |
|---|
| body_count | 0/1 | 1/1 |
| joint_inventory_count | 0/1 | 1/1 |
| body_enabled | 1/1 | 1/1 |
| body_kinematic | 1/1 | 1/1 |
Material correspondence
| Property | Credit/eligible | Correspondence (%) |
|---|
| physics:assignment | 0/2048 | 0 |
| physics:density | 0/2048 | 0 |
| physics:dynamicFriction | 0/2048 | 0 |
| physics:restitution | 0/2048 | 0 |
| physics:staticFriction | 0/2048 | 0 |
| visual:assignment | 1685/2048 | 82.28 |
| visual:opacity | 0/2048 | 0 |
Generated USD | Asset package manifest | NVIDIA validation findings | Harbor trajectory 1
suspension_coilover_rear_b01 / gpt-6.1-sol / repetition 3
| Model | Harness | Skills | Repetition | Status |
|---|
| gpt-6.1-sol | pi | none | 3 | completed |
| Formal fidelity (%) | Visual fidelity (%) | Kinematic fidelity (%) | SimReady Robotics-Prop optional | Shape (%) | Rigid parts (%) | Joints (%) | Materials (%) |
|---|
| 100% (46/46) | 77.37% (1.54744/2) | 0% (0/2) | 76.47% (39/51) | 76.87% (0.768669/1) | 50% (0.5/1) | N/A | 23.45% (3362/14336) |
Requests, timing and costs
| Model requests | Validation calls | Request errors | Elapsed time (s) | Model request time (s) | Input tokens | Output tokens | Total tokens | Inference cost (USD) | Compute cost (USD) | Total cost (USD) |
|---|
| 33 | 3 | 0 | 551.09 | 474.09 | 781173 | 23042 | 804215 | Not measured | Not measured | Not measured |
46 of 46 mandatory requirements passed.
Direct USD reconstruction fidelity
| Component | Fidelity (%) | Credit | Measured | Eligible | Reference coverage (%) |
|---|
| Shape | 76.87 | 0.768669/1 | 1 | 1 | 100 |
| Rigid parts | 50 | 0.5/1 | 1 | 1 | 100 |
| Joints | Not applicable | 0/0 | 0 | 0 | 0 |
| Materials | 23.45 | 3362/14336 | 14336 | 14336 | 58.33 |
Appearance materials
| Score (%) | Earned/eligible | Status |
|---|
| 77.88 | 1595/2048 | measured |
Kinematic correspondence
| Factor | Score (%) | Earned/eligible | Measured/eligible | Coverage (%) |
|---|
| Fixed constraints | 0 | 0/1 | 1/1 | 100 |
| Moving joints | 0 | 0/1 | 1/1 | 100 |
| Reference joint | Candidate joint | Score (%) | Motion RMS (mm) | Status |
|---|
Surface correspondence
| Precision (%) | Recall (%) | Samples per direction | Distance band (mm) | RMS distance (mm) | 95th-percentile distance (mm) |
|---|
| 75.88 | 77.88 | 2048 | 9.5 | 10.99 | 22.6 |
Rigid-part correspondence
| Reference body | Candidate body | Surface correspondence (%) |
|---|
| /RootNode/Geometry/body_01_obj_00 | /Coilover/DamperHousing | 61.86 |
Joint correspondence
| Reference joints | Candidate joints | Passed/eligible checks |
|---|
| 0 | 2 | 0/0 |
Rigid-structure checks
| Feature | Passed/eligible | Measured/eligible |
|---|
| body_count | 0/1 | 1/1 |
| joint_inventory_count | 0/1 | 1/1 |
| body_enabled | 1/1 | 1/1 |
| body_kinematic | 1/1 | 1/1 |
Material correspondence
| Property | Credit/eligible | Correspondence (%) |
|---|
| physics:assignment | 86/2048 | 4.2 |
| physics:density | 0/2048 | 0 |
| physics:dynamicFriction | 86/2048 | 4.2 |
| physics:restitution | 0/2048 | 0 |
| physics:staticFriction | 0/2048 | 0 |
| visual:assignment | 1595/2048 | 77.88 |
| visual:opacity | 1595/2048 | 77.88 |
Generated USD | Asset package manifest | NVIDIA validation findings | Harbor trajectory 1
\ No newline at end of file
diff --git a/runs/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/results.json b/runs/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/results.json
index 2f1a969dd3f019e360f40f9cfb49cb111b74a994..d2e92b74447c958c2a411a1eedb62f5f9cd97177 100644
--- a/runs/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/results.json
+++ b/runs/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/results.json
@@ -1,7 +1,7 @@
{
"schema": "simready-bench-portable-report-v1",
"planned_conditions": 100,
- "completed_conditions": 90,
+ "completed_conditions": 93,
"partial": true,
"settings": {
"reference_assets": [
@@ -101164,16 +101164,16 @@
"reasoning_effort": "high"
},
{
- "condition_id": "condition-7f4f6804fcb572f086f2283588689cbc0add1f90c2fa94ee614c07ef4af67d28",
+ "condition_id": "condition-2ab359dbf25ae04bb30e98a00e25f94d4c26eebd8df08584a8a8614434b66227",
"asset_id": "handTool_wrench_adjustable_a01",
"requested_model": "gpt-6.1-sol",
"harness_id": "pi",
"skill_set_id": "none",
- "repetition": 2,
+ "repetition": 1,
"status": "completed",
"formal_fidelity_percent": 100.0,
- "visual_fidelity_percent": 95.73538364019569,
- "kinematic_fidelity_percent": 2.77881600366925,
+ "visual_fidelity_percent": 0.0,
+ "kinematic_fidelity_percent": 16.66889356600635,
"simready_reward": 100.0,
"mandatory_passed": 46,
"mandatory_total": 46,
@@ -101182,19 +101182,19 @@
"mandatory_lower_bound_percent": 100.0,
"mandatory_upper_bound_percent": 100.0,
"completion_bonus": 5,
- "optional_score_percent": 66.66666666666667,
- "optional_passed": 34,
- "optional_failed": 17,
+ "optional_score_percent": 68.62745098039215,
+ "optional_passed": 35,
+ "optional_failed": 16,
"optional_unknown": 0,
"optional_total": 51,
"optional_measured": 51,
"optional_coverage": 1.0,
- "optional_lower_bound_percent": 66.66666666666667,
- "optional_upper_bound_percent": 66.66666666666667,
- "fidelity_shape_percent": 94.99220656956578,
- "fidelity_rigid_parts_percent": 66.8429443428965,
- "fidelity_joints_percent": 76.19047619047619,
- "fidelity_materials_percent": 27.597266768930414,
+ "optional_lower_bound_percent": 68.62745098039215,
+ "optional_upper_bound_percent": 68.62745098039215,
+ "fidelity_shape_percent": 91.88308959052868,
+ "fidelity_rigid_parts_percent": 87.03617487980769,
+ "fidelity_joints_percent": 90.47619047619048,
+ "fidelity_materials_percent": 12.975875052293961,
"fidelity_shape_coverage": 1.0,
"fidelity_rigid_parts_coverage": 1.0,
"fidelity_joints_coverage": 1.0,
@@ -101208,40 +101208,40 @@
"formal_fidelity_lower_bound_percent": 100.0,
"formal_fidelity_upper_bound_percent": 100.0,
"visual_fidelity_status": "measured",
- "visual_fidelity_earned": 1.9147076728039139,
+ "visual_fidelity_earned": 0.0,
"visual_fidelity_eligible": 2,
"visual_fidelity_measured": 2,
"visual_fidelity_coverage": 1.0,
- "visual_fidelity_lower_bound_percent": 95.73538364019569,
- "visual_fidelity_upper_bound_percent": 95.73538364019569,
+ "visual_fidelity_lower_bound_percent": 0.0,
+ "visual_fidelity_upper_bound_percent": 0.0,
"kinematic_fidelity_status": "measured",
- "kinematic_fidelity_earned": 0.027788160036692502,
+ "kinematic_fidelity_earned": 0.1666889356600635,
"kinematic_fidelity_eligible": 1,
"kinematic_fidelity_measured": 1,
"kinematic_fidelity_coverage": 1.0,
- "kinematic_fidelity_lower_bound_percent": 2.77881600366925,
- "kinematic_fidelity_upper_bound_percent": 2.77881600366925,
- "visual_appearance_percent": 96.484375,
+ "kinematic_fidelity_lower_bound_percent": 16.66889356600635,
+ "kinematic_fidelity_upper_bound_percent": 16.66889356600635,
+ "visual_appearance_percent": 0.0,
"visual_appearance_status": "measured",
- "visual_appearance_earned": 1976.0,
+ "visual_appearance_earned": 0.0,
"visual_appearance_eligible": 2048,
"visual_appearance_measured": 2048,
"visual_appearance_coverage": 1.0,
- "visual_appearance_lower_bound_percent": 96.484375,
- "visual_appearance_upper_bound_percent": 96.484375,
+ "visual_appearance_lower_bound_percent": 0.0,
+ "visual_appearance_upper_bound_percent": 0.0,
"kinematic_reference_joint_count": 2,
"kinematic_candidate_joint_count": 2,
"kinematic_matched_joint_count": 2,
"kinematic_missing_joint_count": 0,
"kinematic_extra_joint_count": 0,
- "kinematic_moving_joints_percent": 2.77881600366925,
+ "kinematic_moving_joints_percent": 16.66889356600635,
"kinematic_moving_joints_status": "measured",
- "kinematic_moving_joints_earned": 0.11115264014677001,
+ "kinematic_moving_joints_earned": 0.6667557426402541,
"kinematic_moving_joints_eligible": 4,
"kinematic_moving_joints_measured": 4,
"kinematic_moving_joints_coverage": 1.0,
- "kinematic_moving_joints_lower_bound_percent": 2.77881600366925,
- "kinematic_moving_joints_upper_bound_percent": 2.77881600366925,
+ "kinematic_moving_joints_lower_bound_percent": 16.66889356600635,
+ "kinematic_moving_joints_upper_bound_percent": 16.66889356600635,
"kinematic_fixed_constraints_percent": null,
"kinematic_fixed_constraints_status": "not_applicable",
"kinematic_fixed_constraints_earned": 0,
@@ -101250,43 +101250,43 @@
"kinematic_fixed_constraints_coverage": 0,
"kinematic_fixed_constraints_lower_bound_percent": null,
"kinematic_fixed_constraints_upper_bound_percent": null,
- "fidelity_shape_earned": 0.9499220656956578,
+ "fidelity_shape_earned": 0.9188308959052869,
"fidelity_shape_eligible": 1,
"fidelity_shape_measured": 1,
"fidelity_shape_status": "measured",
- "fidelity_rigid_parts_earned": 2.005288330286895,
+ "fidelity_rigid_parts_earned": 2.611085246394231,
"fidelity_rigid_parts_eligible": 3,
"fidelity_rigid_parts_measured": 3,
"fidelity_rigid_parts_status": "measured",
- "fidelity_joints_earned": 16,
+ "fidelity_joints_earned": 19,
"fidelity_joints_eligible": 21,
"fidelity_joints_measured": 21,
"fidelity_joints_status": "measured",
- "fidelity_materials_earned": 3958,
+ "fidelity_materials_earned": 1861,
"fidelity_materials_eligible": 14342,
"fidelity_materials_measured": 14342,
"fidelity_materials_status": "measured",
- "fidelity_shape_precision": 0.93408203125,
- "fidelity_shape_recall": 0.96630859375,
+ "fidelity_shape_precision": 0.92919921875,
+ "fidelity_shape_recall": 0.90869140625,
"fidelity_shape_samples_each_direction": 2048,
- "fidelity_rigid_parts_geometry_percent": 66.8429443428965,
+ "fidelity_rigid_parts_geometry_percent": 87.03617487980769,
"fidelity_rigid_parts_structure_percent": 100.0,
"fidelity_rigid_parts_structure_earned": 8,
"fidelity_rigid_parts_structure_eligible": 8,
"fidelity_joints_reference_count": 2,
"fidelity_joints_candidate_count": 2,
- "inference_calls_used": 39,
+ "inference_calls_used": 34,
"validation_calls_used": 3,
"model_request_errors": 0,
- "elapsed_seconds": 727.537944406271,
- "model_request_seconds": 619.313696173951,
- "input_tokens": 1087001,
- "output_tokens": 28408,
- "total_tokens": 1115409,
+ "elapsed_seconds": 946.1256962319603,
+ "model_request_seconds": 589.4889118743595,
+ "input_tokens": 962660,
+ "output_tokens": 27727,
+ "total_tokens": 990387,
"inference_cost_usd": null,
"compute_cost_usd": null,
"total_cost_usd": null,
- "seed": 2135026542,
+ "seed": 318705012,
"scoring_policy_id": "NVIDIA-Robotics-Prop-4.0.0-mandatory-95-plus-5-v1",
"official_conformance_passed": true,
"simready": {
@@ -102138,7 +102138,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.SR.001",
"requirement_version": "0.1.0",
- "status": "fail"
+ "status": "pass"
},
{
"category": "materials_textures",
@@ -102233,10 +102233,10 @@
}
],
"coverage_fraction": 1.0,
- "failed_count": 17,
- "lower_bound_percent": 66.66666666666667,
+ "failed_count": 16,
+ "lower_bound_percent": 68.62745098039215,
"measured_count": 51,
- "passed_count": 34,
+ "passed_count": 35,
"profile": {
"id": "Robotics-Prop",
"version": "4.0.0"
@@ -102245,11 +102245,11 @@
"profile_optional_count": 51,
"schema": "simready-validator-optional-score-v1",
"scope": "all_optional_profile",
- "score_percent": 66.66666666666667,
+ "score_percent": 68.62745098039215,
"status": "scored",
"unknown_count": 0,
"unknown_reason": null,
- "upper_bound_percent": 66.66666666666667
+ "upper_bound_percent": 68.62745098039215
}
},
"optional_score": {
@@ -102519,7 +102519,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.SR.001",
"requirement_version": "0.1.0",
- "status": "fail"
+ "status": "pass"
},
{
"category": "materials_textures",
@@ -102614,10 +102614,10 @@
}
],
"coverage_fraction": 1.0,
- "failed_count": 17,
- "lower_bound_percent": 66.66666666666667,
+ "failed_count": 16,
+ "lower_bound_percent": 68.62745098039215,
"measured_count": 51,
- "passed_count": 34,
+ "passed_count": 35,
"profile": {
"id": "Robotics-Prop",
"version": "4.0.0"
@@ -102626,18 +102626,18 @@
"profile_optional_count": 51,
"schema": "simready-validator-optional-score-v1",
"scope": "all_optional_profile",
- "score_percent": 66.66666666666667,
+ "score_percent": 68.62745098039215,
"status": "scored",
"unknown_count": 0,
"unknown_reason": null,
- "upper_bound_percent": 66.66666666666667
+ "upper_bound_percent": 68.62745098039215
},
"fidelity": {
"schema": "source-usd-fidelity-v4",
"status": "measured",
"complete_geometry_comparison": true,
"alignment": {
- "aligned_rms_m": 0.001649366449424105,
+ "aligned_rms_m": 0.001755543757534664,
"converged": false,
"iterations": 16,
"maximum_iterations_per_start": 8,
@@ -102646,13 +102646,13 @@
"refined_starts": 2,
"rotation": [
[
- -0.9999053964177809,
- 0.013754934191067367,
+ -0.9999405218533286,
+ -0.010906546460399772,
0.0
],
[
- -0.013754934191067367,
- -0.9999053964177809,
+ 0.010906546460399772,
+ -0.9999405218533286,
0.0
],
[
@@ -102664,12 +102664,12 @@
"samples_each_direction": 128,
"scale": 1.0,
"translation_m": [
- 0.017305188682123405,
- -0.0016288661954857709,
- 0.007321392393021791
+ 0.0073306275082081415,
+ -0.0023070251435394875,
+ 0.007504433739716507
],
- "unaligned_rms_m": 0.00753238690463575,
- "yaw_degrees": -179.21187547008032,
+ "unaligned_rms_m": 0.008107630239874587,
+ "yaw_degrees": 179.37508852918126,
"yaw_starts": 32
},
"components": {
@@ -102708,12 +102708,12 @@
},
{
"feature": "anchors",
- "passed": false,
+ "passed": true,
"reference_joint": 0
},
{
"feature": "axes",
- "passed": false,
+ "passed": true,
"reference_joint": 0
},
{
@@ -102763,7 +102763,7 @@
},
{
"feature": "axes",
- "passed": false,
+ "passed": true,
"reference_joint": 1
},
{
@@ -102783,20 +102783,20 @@
}
],
"coverage_fraction": 1.0,
- "earned": 16,
+ "earned": 19,
"eligible": 21,
"extra_joint_count": 0,
"measured": 21,
"reference_joint_count": 2,
"reference_possible_checks": 21,
- "score_percent": 76.19047619047619,
+ "score_percent": 90.47619047619048,
"status": "measured"
},
"kinematics": {
"aggregation": "geometric mean of moving-joint and fixed-constraint recovery, each 2*sum(quality)/(reference_count+candidate_count)",
"candidate_joint_count": 2,
"coverage_fraction": 1.0,
- "earned": 0.027788160036692502,
+ "earned": 0.1666889356600635,
"eligible": 1,
"extra_joint_count": 0,
"finite_extent_treatment": "1/(1+(unwrapped interval extent error/(absolute range tolerance+relative tolerance*reference extent))^2)",
@@ -102816,14 +102816,14 @@
"moving_joints": {
"candidate_joint_count": 2,
"coverage_fraction": 1.0,
- "earned": 0.11115264014677001,
+ "earned": 0.6667557426402541,
"eligible": 4,
- "lower_bound_percent": 2.77881600366925,
+ "lower_bound_percent": 16.66889356600635,
"measured": 4,
"reference_joint_count": 2,
- "score_percent": 2.77881600366925,
+ "score_percent": 16.66889356600635,
"status": "measured",
- "upper_bound_percent": 2.77881600366925
+ "upper_bound_percent": 16.66889356600635
}
},
"infinite_range_probes": "one full revolution or one reference diagonal, centred at a canonical coordinate for fully unbounded motion or anchored at the finite endpoint for half-bounded motion; authored limits remain unchanged",
@@ -102835,19 +102835,19 @@
"negative_unbounded",
"positive_unbounded"
],
- "candidate_path": "/AdjustableWrench/Joints/WormRotation",
+ "candidate_path": "/Wrench/Joints/WormRotation",
"candidate_probe_interval": [
-3.141592653589793,
3.141592653589793
],
"coverage_fraction": 1,
- "earned": 0.04160223596844027,
+ "earned": 0.3239352335046345,
"eligible": 1,
"limit_pattern_credit": 1.0,
"limit_pattern_mismatches": 0,
"measured": 1,
- "motion_credit": 0.04160223596844027,
- "motion_rms_m": 0.015237809047421665,
+ "motion_credit": 0.3239352335046345,
+ "motion_rms_m": 0.004586411579355634,
"probe_units": "radians",
"reason": "measured_motion",
"reference_joint": 0,
@@ -102860,7 +102860,7 @@
-3.141592653589793,
3.141592653589793
],
- "score_percent": 4.160223596844027,
+ "score_percent": 32.39352335046345,
"status": "measured",
"swapped_endpoints": false,
"type": "PhysicsRevoluteJoint",
@@ -102873,19 +102873,19 @@
"finite",
"finite"
],
- "candidate_path": "/AdjustableWrench/Joints/JawSlide",
+ "candidate_path": "/Wrench/Joints/JawSlide",
"candidate_probe_interval": [
- -0.02357541210949421,
- 0.007424587849527597
+ -0.026089150458574295,
+ 0.006000000052154064
],
"coverage_fraction": 1,
- "earned": 0.013974084104944738,
+ "earned": 0.009442637815492544,
"eligible": 1,
"limit_pattern_credit": 1.0,
"limit_pattern_mismatches": 0,
"measured": 1,
- "motion_credit": 0.18479319332329108,
- "motion_rms_m": 0.00666805051004102,
+ "motion_credit": 0.13812842023392233,
+ "motion_rms_m": 0.007930265457354216,
"probe_units": "m",
"reason": "measured_motion",
"reference_joint": 1,
@@ -102898,16 +102898,16 @@
-0.011506999842822552,
0.0
],
- "score_percent": 1.3974084104944737,
+ "score_percent": 0.9442637815492544,
"status": "measured",
"swapped_endpoints": false,
"type": "PhysicsPrismaticJoint",
- "unwrapped_extent_credit": 0.07562012352098611,
- "unwrapped_extent_error": 0.019493000116199255
+ "unwrapped_extent_credit": 0.0683612959556137,
+ "unwrapped_extent_error": 0.020582150667905807
}
],
"limit_pattern_treatment": "1/(1+number of differing bound endpoint states after coordinate normalisation)",
- "lower_bound_percent": 2.77881600366925,
+ "lower_bound_percent": 16.66889356600635,
"matched_joint_count": 2,
"measured": 1,
"measurement": "sampled joint constraint transforms on common reference-body bounding-box landmarks",
@@ -102915,7 +102915,7 @@
"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
"reference_joint_count": 2,
"schema": "source-usd-kinematics-v1",
- "score_percent": 2.77881600366925,
+ "score_percent": 16.66889356600635,
"settings": {
"distance_band_m": 0.003174738564278814,
"range_absolute_degrees": 5,
@@ -102949,25 +102949,25 @@
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
- "upper_bound_percent": 2.77881600366925
+ "upper_bound_percent": 16.66889356600635
},
"materials": {
"appearance": {
"aggregation": "mean per-sample appearance-property match fraction",
"coverage_basis": "reference surface samples with assigned visual materials",
"coverage_fraction": 1.0,
- "earned": 1976.0,
+ "earned": 0.0,
"eligible": 2048,
- "lower_bound_percent": 96.484375,
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- "fidelity_joints_percent": 35.64356435643565,
- "fidelity_materials_percent": 13.516315949984751,
+ "optional_lower_bound_percent": 66.66666666666667,
+ "optional_upper_bound_percent": 66.66666666666667,
+ "fidelity_shape_percent": 94.99220656956578,
+ "fidelity_rigid_parts_percent": 66.8429443428965,
+ "fidelity_joints_percent": 76.19047619047619,
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- "fidelity_materials_coverage": 0.6671142578125,
+ "fidelity_materials_coverage": 0.5835774739583334,
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@@ -103638,40 +103638,40 @@
"formal_fidelity_lower_bound_percent": 100.0,
"formal_fidelity_upper_bound_percent": 100.0,
"visual_fidelity_status": "measured",
- "visual_fidelity_earned": 0.2297738919677977,
+ "visual_fidelity_earned": 1.9147076728039139,
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- "visual_fidelity_lower_bound_percent": 11.488694598389886,
- "visual_fidelity_upper_bound_percent": 11.488694598389886,
+ "visual_fidelity_lower_bound_percent": 95.73538364019569,
+ "visual_fidelity_upper_bound_percent": 95.73538364019569,
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+ "kinematic_fidelity_earned": 0.027788160036692502,
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- "kinematic_fidelity_upper_bound_percent": 1.9156562288657506,
- "visual_appearance_percent": 2.132161458333333,
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+ "kinematic_fidelity_upper_bound_percent": 2.77881600366925,
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- "kinematic_missing_joint_count": 6,
- "kinematic_extra_joint_count": 4,
- "kinematic_moving_joints_percent": 1.9156562288657506,
+ "visual_appearance_lower_bound_percent": 96.484375,
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@@ -103680,43 +103680,43 @@
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+ "fidelity_rigid_parts_structure_earned": 8,
+ "fidelity_rigid_parts_structure_eligible": 8,
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- "seed": 278187590,
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@@ -104309,7 +104309,7 @@
"mandatory": false,
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+ "status": "fail"
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{
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@@ -104463,7 +104463,7 @@
"mandatory": false,
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{
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@@ -104568,14 +104568,14 @@
"mandatory": false,
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{
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+ "status": "fail"
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{
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@@ -104610,7 +104610,7 @@
"mandatory": false,
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+ "status": "fail"
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{
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@@ -104663,10 +104663,10 @@
}
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@@ -104675,11 +104675,11 @@
"profile_optional_count": 51,
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}
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@@ -104690,7 +104690,7 @@
"mandatory": false,
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{
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@@ -104844,7 +104844,7 @@
"mandatory": false,
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{
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@@ -104949,14 +104949,14 @@
"mandatory": false,
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{
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@@ -104991,7 +104991,7 @@
"mandatory": false,
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{
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@@ -105044,10 +105044,10 @@
}
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@@ -105056,18 +105056,18 @@
"profile_optional_count": 51,
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"scope": "all_optional_profile",
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+ "score_percent": 66.66666666666667,
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- "upper_bound_percent": 76.47058823529412
+ "upper_bound_percent": 66.66666666666667
},
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"iterations": 16,
"maximum_iterations_per_start": 8,
@@ -105076,13 +105076,13 @@
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[
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0.0
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],
[
@@ -105094,17 +105094,17 @@
"samples_each_direction": 128,
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{
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@@ -105143,7 +105143,7 @@
},
{
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{
@@ -105158,32 +105158,32 @@
},
{
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{
@@ -105198,7 +105198,7 @@
},
{
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{
@@ -105206,429 +105206,29 @@
"passed": false,
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{
"feature": "joint_count",
- "passed": false,
+ "passed": true,
"reference_joint": "all"
}
],
"coverage_fraction": 1.0,
- "earned": 36,
- "eligible": 101,
+ "earned": 16,
+ "eligible": 21,
"extra_joint_count": 0,
- "measured": 101,
- "reference_joint_count": 10,
- "reference_possible_checks": 101,
- "score_percent": 35.64356435643565,
+ "measured": 21,
+ "reference_joint_count": 2,
+ "reference_possible_checks": 21,
+ "score_percent": 76.19047619047619,
"status": "measured"
},
"kinematics": {
"aggregation": "geometric mean of moving-joint and fixed-constraint recovery, each 2*sum(quality)/(reference_count+candidate_count)",
- "candidate_joint_count": 8,
+ "candidate_joint_count": 2,
"coverage_fraction": 1.0,
- "earned": 0.019156562288657506,
+ "earned": 0.027788160036692502,
"eligible": 1,
- "extra_joint_count": 4,
+ "extra_joint_count": 0,
"finite_extent_treatment": "1/(1+(unwrapped interval extent error/(absolute range tolerance+relative tolerance*reference extent))^2)",
"groups": {
"fixed_constraints": {
@@ -105644,40 +105244,40 @@
"upper_bound_percent": null
},
"moving_joints": {
- "candidate_joint_count": 8,
+ "candidate_joint_count": 2,
"coverage_fraction": 1.0,
- "earned": 0.3448181211958351,
- "eligible": 18,
- "lower_bound_percent": 1.9156562288657506,
- "measured": 18,
- "reference_joint_count": 10,
- "score_percent": 1.9156562288657506,
+ "earned": 0.11115264014677001,
+ "eligible": 4,
+ "lower_bound_percent": 2.77881600366925,
+ "measured": 4,
+ "reference_joint_count": 2,
+ "score_percent": 2.77881600366925,
"status": "measured",
- "upper_bound_percent": 1.9156562288657506
+ "upper_bound_percent": 2.77881600366925
}
},
"infinite_range_probes": "one full revolution or one reference diagonal, centred at a canonical coordinate for fully unbounded motion or anchored at the finite endpoint for half-bounded motion; authored limits remain unchanged",
"joint_quality": "motion_credit*unwrapped_extent_credit*limit_pattern_credit, with motion_credit=1/(1+(motion_rms_m/distance_band_m)^2)",
"joints": [
{
- "candidate_joint": 2,
+ "candidate_joint": 1,
"candidate_limit_pattern": [
"negative_unbounded",
"positive_unbounded"
],
- "candidate_path": "/HandTruck/Joints/LeftCasterAxle",
+ "candidate_path": "/AdjustableWrench/Joints/WormRotation",
"candidate_probe_interval": [
-3.141592653589793,
3.141592653589793
],
"coverage_fraction": 1,
- "earned": 0.0386424786180519,
+ "earned": 0.04160223596844027,
"eligible": 1,
"limit_pattern_credit": 1.0,
"limit_pattern_mismatches": 0,
"measured": 1,
- "motion_credit": 0.0386424786180519,
- "motion_rms_m": 0.08062152169068713,
+ "motion_credit": 0.04160223596844027,
+ "motion_rms_m": 0.015237809047421665,
"probe_units": "radians",
"reason": "measured_motion",
"reference_joint": 0,
@@ -105685,233 +105285,73 @@
"negative_unbounded",
"positive_unbounded"
],
- "reference_path": "/RootNode/Joints/joint_sm_rear_wheel2_a01_joint_00",
- "reference_probe_interval": [
- -3.141592653589793,
- 3.141592653589793
- ],
- "score_percent": 3.86424786180519,
- "status": "measured",
- "swapped_endpoints": false,
- "type": "PhysicsRevoluteJoint",
- "unwrapped_extent_credit": 1.0,
- "unwrapped_extent_error": null
- },
- {
- "candidate_joint": null,
- "coverage_fraction": 1,
- "earned": 0.0,
- "eligible": 1,
- "measured": 1,
- "motion_rms_m": null,
- "reason": "missing_joint",
- "reference_joint": 1,
- "reference_path": "/RootNode/Joints/joint_sm_rear_frame2_a01_joint_00",
- "score_percent": 0.0,
- "status": "measured",
- "type": "PhysicsRevoluteJoint"
- },
- {
- "candidate_joint": null,
- "coverage_fraction": 1,
- "earned": 0.0,
- "eligible": 1,
- "measured": 1,
- "motion_rms_m": null,
- "reason": "missing_joint",
- "reference_joint": 2,
- "reference_path": "/RootNode/Joints/joint_sm_handle_a01_joint_00",
- "score_percent": 0.0,
- "status": "measured",
- "type": "PhysicsPrismaticJoint"
- },
- {
- "candidate_joint": 3,
- "candidate_limit_pattern": [
- "negative_unbounded",
- "positive_unbounded"
- ],
- "candidate_path": "/HandTruck/Joints/RightMainWheelAxle",
- "candidate_probe_interval": [
- -3.141592653589793,
- 3.141592653589793
- ],
- "coverage_fraction": 1,
- "earned": 0.0425792696684476,
- "eligible": 1,
- "limit_pattern_credit": 1.0,
- "limit_pattern_mismatches": 0,
- "measured": 1,
- "motion_credit": 0.0425792696684476,
- "motion_rms_m": 0.07664667574554006,
- "probe_units": "radians",
- "reason": "measured_motion",
- "reference_joint": 3,
- "reference_limit_pattern": [
- "negative_unbounded",
- "positive_unbounded"
- ],
- "reference_path": "/RootNode/Joints/joint_sm_front_wheel1_a01_joint_00",
+ "reference_path": "/RootNode/Joints/joint_knurl_01_joint_00",
"reference_probe_interval": [
-3.141592653589793,
3.141592653589793
],
- "score_percent": 4.25792696684476,
+ "score_percent": 4.160223596844027,
"status": "measured",
"swapped_endpoints": false,
"type": "PhysicsRevoluteJoint",
"unwrapped_extent_credit": 1.0,
"unwrapped_extent_error": null
},
- {
- "candidate_joint": null,
- "coverage_fraction": 1,
- "earned": 0.0,
- "eligible": 1,
- "measured": 1,
- "motion_rms_m": null,
- "reason": "missing_joint",
- "reference_joint": 4,
- "reference_path": "/RootNode/Joints/joint_sm_lock1_a01_joint_00",
- "score_percent": 0.0,
- "status": "measured",
- "type": "PhysicsPrismaticJoint"
- },
- {
- "candidate_joint": null,
- "coverage_fraction": 1,
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- "eligible": 1,
- "measured": 1,
- "motion_rms_m": null,
- "reason": "missing_joint",
- "reference_joint": 5,
- "reference_path": "/RootNode/Joints/joint_sm_rear_frame1_a01_joint_00",
- "score_percent": 0.0,
- "status": "measured",
- "type": "PhysicsRevoluteJoint"
- },
{
"candidate_joint": 0,
"candidate_limit_pattern": [
- "negative_unbounded",
- "positive_unbounded"
- ],
- "candidate_path": "/HandTruck/Joints/LeftMainWheelAxle",
- "candidate_probe_interval": [
- -3.141592653589793,
- 3.141592653589793
- ],
- "coverage_fraction": 1,
- "earned": 0.05486501696517294,
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- "limit_pattern_mismatches": 0,
- "measured": 1,
- "motion_credit": 0.05486501696517294,
- "motion_rms_m": 0.06708727854135649,
- "probe_units": "radians",
- "reason": "measured_motion",
- "reference_joint": 6,
- "reference_limit_pattern": [
- "negative_unbounded",
- "positive_unbounded"
- ],
- "reference_path": "/RootNode/Joints/joint_sm_front_wheel2_a01_joint_00",
- "reference_probe_interval": [
- -3.141592653589793,
- 3.141592653589793
- ],
- "score_percent": 5.486501696517294,
- "status": "measured",
- "swapped_endpoints": false,
- "type": "PhysicsRevoluteJoint",
- "unwrapped_extent_credit": 1.0,
- "unwrapped_extent_error": null
- },
- {
- "candidate_joint": null,
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- "eligible": 1,
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- "motion_rms_m": null,
- "reason": "missing_joint",
- "reference_joint": 7,
- "reference_path": "/RootNode/Joints/joint_sm_mount_a01_joint_01",
- "score_percent": 0.0,
- "status": "measured",
- "type": "PhysicsRevoluteJoint"
- },
- {
- "candidate_joint": 5,
- "candidate_limit_pattern": [
- "negative_unbounded",
- "positive_unbounded"
+ "finite",
+ "finite"
],
- "candidate_path": "/HandTruck/Joints/RightCasterAxle",
+ "candidate_path": "/AdjustableWrench/Joints/JawSlide",
"candidate_probe_interval": [
- -3.141592653589793,
- 3.141592653589793
+ -0.02357541210949421,
+ 0.007424587849527597
],
"coverage_fraction": 1,
- "earned": 0.0363222953462451,
+ "earned": 0.013974084104944738,
"eligible": 1,
"limit_pattern_credit": 1.0,
"limit_pattern_mismatches": 0,
"measured": 1,
- "motion_credit": 0.0363222953462451,
- "motion_rms_m": 0.08325690788074679,
- "probe_units": "radians",
+ "motion_credit": 0.18479319332329108,
+ "motion_rms_m": 0.00666805051004102,
+ "probe_units": "m",
"reason": "measured_motion",
- "reference_joint": 8,
+ "reference_joint": 1,
"reference_limit_pattern": [
- "negative_unbounded",
- "positive_unbounded"
+ "finite",
+ "finite"
],
- "reference_path": "/RootNode/Joints/joint_sm_rear_wheel1_a01_joint_00",
+ "reference_path": "/RootNode/Joints/joint_jaw_01_joint_00",
"reference_probe_interval": [
- -3.141592653589793,
- 3.141592653589793
+ -0.011506999842822552,
+ 0.0
],
- "score_percent": 3.63222953462451,
+ "score_percent": 1.3974084104944737,
"status": "measured",
"swapped_endpoints": false,
- "type": "PhysicsRevoluteJoint",
- "unwrapped_extent_credit": 1.0,
- "unwrapped_extent_error": null
- },
- {
- "candidate_joint": null,
- "coverage_fraction": 1,
- "earned": 0.0,
- "eligible": 1,
- "measured": 1,
- "motion_rms_m": null,
- "reason": "missing_joint",
- "reference_joint": 9,
- "reference_path": "/RootNode/Joints/joint_sm_lock2_a01_joint_00",
- "score_percent": 0.0,
- "status": "measured",
- "type": "PhysicsPrismaticJoint"
+ "type": "PhysicsPrismaticJoint",
+ "unwrapped_extent_credit": 0.07562012352098611,
+ "unwrapped_extent_error": 0.019493000116199255
}
],
"limit_pattern_treatment": "1/(1+number of differing bound endpoint states after coordinate normalisation)",
- "lower_bound_percent": 1.9156562288657506,
- "matched_joint_count": 4,
+ "lower_bound_percent": 2.77881600366925,
+ "matched_joint_count": 2,
"measured": 1,
"measurement": "sampled joint constraint transforms on common reference-body bounding-box landmarks",
- "missing_joint_count": 6,
+ "missing_joint_count": 0,
"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
- "reference_joint_count": 10,
+ "reference_joint_count": 2,
"schema": "source-usd-kinematics-v1",
- "score_percent": 1.9156562288657506,
+ "score_percent": 2.77881600366925,
"settings": {
- "distance_band_m": 0.016163708676063322,
+ "distance_band_m": 0.003174738564278814,
"range_absolute_degrees": 5,
"range_absolute_m": 0.005,
"range_relative": 0.05,
- "reference_diagonal_m": 1.516370867606332,
+ "reference_diagonal_m": 0.21747385642788142,
"sweep_fractions": [
0.0,
0.03444185374863373,
@@ -105939,29 +105379,29 @@
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
- "upper_bound_percent": 1.9156562288657506
+ "upper_bound_percent": 2.77881600366925
},
"materials": {
"appearance": {
"aggregation": "mean per-sample appearance-property match fraction",
"coverage_basis": "reference surface samples with assigned visual materials",
"coverage_fraction": 1.0,
- "earned": 43.666666666666664,
+ "earned": 1976.0,
"eligible": 2048,
- "lower_bound_percent": 2.132161458333333,
+ "lower_bound_percent": 96.484375,
"measured": 2048,
- "score_percent": 2.132161458333333,
+ "score_percent": 96.484375,
"status": "measured",
"unknown": 0,
- "upper_bound_percent": 2.132161458333326
+ "upper_bound_percent": 96.484375
},
"coverage_basis": "reference area samples with supported effective material properties",
- "coverage_fraction": 0.6671142578125,
- "earned": 2216,
- "eligible": 16395,
+ "coverage_fraction": 0.5835774739583334,
+ "earned": 3958,
+ "eligible": 14342,
"features": {
"physics:assignment": {
- "earned": 777,
+ "earned": 0,
"eligible": 2048
},
"physics:density": {
@@ -105981,300 +105421,132 @@
"eligible": 2048
},
"visual:assignment": {
- "earned": 1308,
+ "earned": 1979,
"eligible": 2048
},
"visual:diffuseColor": {
"earned": 0,
- "eligible": 1439
- },
- "visual:metallic": {
- "earned": 131,
- "eligible": 310
+ "eligible": 6
},
"visual:opacity": {
- "earned": 0,
+ "earned": 1979,
"eligible": 2048
- },
- "visual:roughness": {
- "earned": 0,
- "eligible": 310
}
},
- "measured": 16395,
+ "measured": 14342,
"reference_possible_fields": 24576,
- "score_percent": 13.516315949984751,
+ "score_percent": 27.597266768930414,
"status": "measured"
},
"rigid_parts": {
"coverage_fraction": 1.0,
- "earned": 3.7833937276560365,
- "eligible": 11,
+ "earned": 2.005288330286895,
+ "eligible": 3,
"extra_bodies": 0,
- "geometry_score_percent": 34.394488433236695,
- "measured": 11,
- "missing_parts": 2,
+ "geometry_score_percent": 66.8429443428965,
+ "measured": 3,
+ "missing_parts": 0,
"parts": [
{
- "band_m": 0.016163708676063322,
- "candidate_body": "/HandTruck/Frame",
- "p95_m": 0.051071618359664006,
- "precision": 0.48291015625,
- "recall": 0.52294921875,
- "reference_body": "/RootNode/Geometry/sm_body_a01_obj_00",
- "rms_m": 0.025628212865158657,
- "samples_each_direction": 2048,
- "score_percent": 50.21327935376214
- },
- {
- "band_m": 0.016163708676063322,
- "candidate_body": "/HandTruck/RightWheel",
- "p95_m": 0.04646023281870524,
- "precision": 0.51220703125,
- "recall": 0.67333984375,
- "reference_body": "/RootNode/Geometry/sm_front_wheel1_a01_obj_00",
- "rms_m": 0.022198699134097038,
- "samples_each_direction": 2048,
- "score_percent": 58.18233081497117
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- "band_m": 0.016163708676063322,
- "candidate_body": "/HandTruck/LeftWheel",
- "p95_m": 0.040098230467720375,
- "precision": 0.49560546875,
- "recall": 0.7060546875,
- "reference_body": "/RootNode/Geometry/sm_front_wheel2_a01_obj_00",
- "rms_m": 0.01958556508204086,
- "samples_each_direction": 2048,
- "score_percent": 58.24018755079236
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- {
- "band_m": 0.016163708676063322,
- "candidate_body": "/HandTruck/SlidingHandle",
- "p95_m": 0.11623436671719328,
- "precision": 0.33544921875,
- "recall": 0.486328125,
- "reference_body": "/RootNode/Geometry/sm_handle_a01_obj_00",
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- "score_percent": 39.70379344919786
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- "candidate_body": null,
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- "reference_body": "/RootNode/Geometry/sm_lock1_a01_obj_00",
- "score_percent": 0.0
- },
- {
- "band_m": 0.016163708676063322,
- "candidate_body": "/HandTruck/ReleaseLatch",
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- "reference_body": "/RootNode/Geometry/sm_lock2_a01_obj_00",
- "rms_m": 0.08041830317058994,
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- "score_percent": 0.0
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- "reference_body": "/RootNode/Geometry/sm_mount_a01_obj_01",
- "score_percent": 0.0
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- {
- "band_m": 0.016163708676063322,
- "candidate_body": "/HandTruck/RightCasterFork",
- "p95_m": 0.04527524598235165,
- "precision": 0.458984375,
- "recall": 0.52587890625,
- "reference_body": "/RootNode/Geometry/sm_rear_frame1_a01_obj_00",
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- "score_percent": 49.0159813460585
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- "recall": 0.44677734375,
- "reference_body": "/RootNode/Geometry/sm_rear_frame2_a01_obj_00",
- "rms_m": 0.0233107283202418,
+ "band_m": 0.003174738564278814,
+ "candidate_body": "/AdjustableWrench/Body",
+ "p95_m": 0.0033082479895019663,
+ "precision": 0.94677734375,
+ "recall": 0.94677734375,
+ "reference_body": "/RootNode/Geometry/body_01_obj_00",
+ "rms_m": 0.0016448867214173466,
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- "score_percent": 43.39692242833053
+ "score_percent": 94.677734375
},
{
- "band_m": 0.016163708676063322,
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- "recall": 0.4130859375,
- "reference_body": "/RootNode/Geometry/sm_rear_wheel1_a01_obj_00",
- "rms_m": 0.02929895291417196,
+ "band_m": 0.003174738564278814,
+ "candidate_body": "/AdjustableWrench/MovingJaw",
+ "p95_m": 0.008086964051662739,
+ "precision": 0.642578125,
+ "recall": 0.6279296875,
+ "reference_body": "/RootNode/Geometry/jaw_01_obj_00",
+ "rms_m": 0.0037332616346410006,
"samples_each_direction": 2048,
- "score_percent": 38.823866306390975
+ "score_percent": 63.516946099154495
},
{
- "band_m": 0.016163708676063322,
- "candidate_body": "/HandTruck/LeftCasterWheel",
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- "recall": 0.4365234375,
- "reference_body": "/RootNode/Geometry/sm_rear_wheel2_a01_obj_00",
- "rms_m": 0.028002984391819273,
+ "band_m": 0.003174738564278814,
+ "candidate_body": "/AdjustableWrench/Worm",
+ "p95_m": 0.008727747040506965,
+ "precision": 0.396484375,
+ "recall": 0.4541015625,
+ "reference_body": "/RootNode/Geometry/knurl_01_obj_00",
+ "rms_m": 0.0051038018627843984,
"samples_each_direction": 2048,
- "score_percent": 40.76301151610018
+ "score_percent": 42.33415255453502
}
],
- "score_percent": 34.394488433236695,
+ "score_percent": 66.8429443428965,
"status": "measured",
"structure": {
"checks": [
{
"feature": "body_count",
- "passed": false
+ "passed": true
},
{
"feature": "joint_inventory_count",
- "passed": false
- },
- {
- "feature": "body_enabled",
- "passed": true,
- "reference_body": "/RootNode/Geometry/sm_handle_a01_obj_00"
- },
- {
- "feature": "body_kinematic",
- "passed": true,
- "reference_body": "/RootNode/Geometry/sm_handle_a01_obj_00"
- },
- {
- "feature": "body_enabled",
- "passed": true,
- "reference_body": "/RootNode/Geometry/sm_lock2_a01_obj_00"
- },
- {
- "feature": "body_kinematic",
- "passed": true,
- "reference_body": "/RootNode/Geometry/sm_lock2_a01_obj_00"
- },
- {
- "feature": "body_enabled",
- "passed": true,
- "reference_body": "/RootNode/Geometry/sm_rear_frame1_a01_obj_00"
- },
- {
- "feature": "body_kinematic",
- "passed": true,
- "reference_body": "/RootNode/Geometry/sm_rear_frame1_a01_obj_00"
- },
- {
- "feature": "body_enabled",
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- "reference_body": "/RootNode/Geometry/sm_front_wheel2_a01_obj_00"
- },
- {
- "feature": "body_kinematic",
- "passed": true,
- "reference_body": "/RootNode/Geometry/sm_front_wheel2_a01_obj_00"
- },
- {
- "feature": "body_enabled",
- "passed": true,
- "reference_body": "/RootNode/Geometry/sm_rear_wheel1_a01_obj_00"
- },
- {
- "feature": "body_kinematic",
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- "reference_body": "/RootNode/Geometry/sm_rear_wheel1_a01_obj_00"
- },
- {
- "feature": "body_enabled",
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- "reference_body": "/RootNode/Geometry/sm_mount_a01_obj_01"
- },
- {
- "feature": "body_kinematic",
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- "reference_body": "/RootNode/Geometry/sm_mount_a01_obj_01"
- },
- {
- "feature": "body_enabled",
- "passed": true,
- "reference_body": "/RootNode/Geometry/sm_front_wheel1_a01_obj_00"
- },
- {
- "feature": "body_kinematic",
- "passed": true,
- "reference_body": "/RootNode/Geometry/sm_front_wheel1_a01_obj_00"
+ "passed": true
},
{
"feature": "body_enabled",
"passed": true,
- "reference_body": "/RootNode/Geometry/sm_body_a01_obj_00"
+ "reference_body": "/RootNode/Geometry/body_01_obj_00"
},
{
"feature": "body_kinematic",
"passed": true,
- "reference_body": "/RootNode/Geometry/sm_body_a01_obj_00"
+ "reference_body": "/RootNode/Geometry/body_01_obj_00"
},
{
"feature": "body_enabled",
"passed": true,
- "reference_body": "/RootNode/Geometry/sm_rear_wheel2_a01_obj_00"
+ "reference_body": "/RootNode/Geometry/jaw_01_obj_00"
},
{
"feature": "body_kinematic",
"passed": true,
- "reference_body": "/RootNode/Geometry/sm_rear_wheel2_a01_obj_00"
- },
- {
- "feature": "body_enabled",
- "passed": false,
- "reference_body": "/RootNode/Geometry/sm_lock1_a01_obj_00"
- },
- {
- "feature": "body_kinematic",
- "passed": false,
- "reference_body": "/RootNode/Geometry/sm_lock1_a01_obj_00"
+ "reference_body": "/RootNode/Geometry/jaw_01_obj_00"
},
{
"feature": "body_enabled",
"passed": true,
- "reference_body": "/RootNode/Geometry/sm_rear_frame2_a01_obj_00"
+ "reference_body": "/RootNode/Geometry/knurl_01_obj_00"
},
{
"feature": "body_kinematic",
"passed": true,
- "reference_body": "/RootNode/Geometry/sm_rear_frame2_a01_obj_00"
+ "reference_body": "/RootNode/Geometry/knurl_01_obj_00"
}
],
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- "earned": 18,
- "eligible": 24,
- "measured": 24,
- "score_percent": 75.0,
+ "earned": 8,
+ "eligible": 8,
+ "measured": 8,
+ "score_percent": 100.0,
"status": "measured"
},
"treatment": "minimum of reference-body mean surface F-score and fixed rigid-structure check fraction; no cross-component weighting"
},
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- "band_m": 0.016163708676063322,
+ "band_m": 0.003174738564278814,
"coverage_basis": "fixed source supported-visible-prim fraction",
"coverage_fraction": 1.0,
- "earned": 0.6190436613475178,
+ "earned": 0.9499220656956578,
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- "p95_m": 0.040326488527795135,
- "precision": 0.6005859375,
- "recall": 0.638671875,
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- "score_percent": 61.904366134751776,
+ "score_percent": 94.99220656956578,
"status": "measured"
}
}
@@ -106293,72 +105565,64 @@
"upper_bound_percent": 100.0
},
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- "score_percent": 11.488694598389886,
+ "score_percent": 95.73538364019569,
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+ "earned": 1.9147076728039139,
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- "band_m": 0.016163708676063322,
+ "band_m": 0.003174738564278814,
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- "eligible": 1439
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+ "eligible": 6
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}
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+ "lower_bound_percent": 95.73538364019569,
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@@ -106374,40 +105638,40 @@
"upper_bound_percent": null
},
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+ "upper_bound_percent": 2.77881600366925
}
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"joint_quality": "motion_credit*unwrapped_extent_credit*limit_pattern_credit, with motion_credit=1/(1+(motion_rms_m/distance_band_m)^2)",
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{
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"positive_unbounded"
],
- "candidate_path": "/HandTruck/Joints/LeftCasterAxle",
+ "candidate_path": "/AdjustableWrench/Joints/WormRotation",
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3.141592653589793
],
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"reason": "measured_motion",
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@@ -106415,233 +105679,73 @@
"negative_unbounded",
"positive_unbounded"
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- "reference_path": "/RootNode/Joints/joint_sm_front_wheel1_a01_joint_00",
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3.141592653589793
],
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+ "finite",
+ "finite"
],
- "candidate_path": "/HandTruck/Joints/RightCasterAxle",
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+ "probe_units": "m",
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- "positive_unbounded"
+ "finite",
+ "finite"
],
- "reference_path": "/RootNode/Joints/joint_sm_rear_wheel1_a01_joint_00",
+ "reference_path": "/RootNode/Joints/joint_jaw_01_joint_00",
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- "reference_path": "/RootNode/Joints/joint_sm_lock2_a01_joint_00",
- "score_percent": 0.0,
- "status": "measured",
- "type": "PhysicsPrismaticJoint"
+ "type": "PhysicsPrismaticJoint",
+ "unwrapped_extent_credit": 0.07562012352098611,
+ "unwrapped_extent_error": 0.019493000116199255
}
],
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+ "lower_bound_percent": 2.77881600366925,
+ "matched_joint_count": 2,
"measured": 1,
"measurement": "sampled joint constraint transforms on common reference-body bounding-box landmarks",
- "missing_joint_count": 6,
+ "missing_joint_count": 0,
"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
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+ "reference_joint_count": 2,
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0.0,
0.03444185374863373,
@@ -106669,15 +105773,15 @@
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
- "upper_bound_percent": 1.9156562288657506
+ "upper_bound_percent": 2.77881600366925
}
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+ "aperture": 0.3457951437681913,
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@@ -106686,13 +105790,13 @@
"refined_starts": 2,
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[
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[
@@ -106704,23 +105808,23 @@
"samples_each_direction": 128,
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+ "span": 0.20957281440496445,
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@@ -106743,47 +105847,47 @@
0.0
],
[
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@@ -106795,7 +105899,7 @@
0.0
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[
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@@ -106807,135 +105911,129 @@
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- "rig_sha256": "17a64c3d36817813488301e1ea55c13f828cdafb06d13c94a390216810ed6468"
+ "rig_sha256": "d57db5e303cd7155541ade433f487a7942163117b6ad51fdf1ad90e4e585a530"
},
"candidate": {
"status": "available",
"schema": "simready-bench-portable-candidate-v1",
- "directory": "assets/handTruck_convertible_steel_red_a01/reconstruction-1/candidate",
- "entrypoint": "assets/handTruck_convertible_steel_red_a01/reconstruction-1/candidate/asset.usd",
- "manifest": "assets/handTruck_convertible_steel_red_a01/reconstruction-1/candidate/manifest.json",
- "manifest_sha256": "c3fea8cdfbe442e60c7b211c7b1cc8eb5d7dfb7487a072045e620a5b4604b71b",
+ "directory": "assets/handTool_wrench_adjustable_a01/reconstruction-3/candidate",
+ "entrypoint": "assets/handTool_wrench_adjustable_a01/reconstruction-3/candidate/asset.usd",
+ "manifest": "assets/handTool_wrench_adjustable_a01/reconstruction-3/candidate/manifest.json",
+ "manifest_sha256": "090ba86b11fd68b1fa9357b1fbdd300aa5ec1ebd0f555e3061543bfeb82bb1c9",
"source_entrypoint": "asset.usd",
"files": [
{
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+ "path": "assets/handTool_wrench_adjustable_a01/reconstruction-3/candidate/.thumbs/256x256/asset.usd.png",
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@@ -109022,7 +108120,7 @@
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@@ -109063,19 +108161,19 @@
"negative_unbounded",
"positive_unbounded"
],
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@@ -109088,7 +108186,7 @@
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@@ -109129,19 +108227,19 @@
"negative_unbounded",
"positive_unbounded"
],
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@@ -109154,7 +108252,7 @@
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@@ -109181,19 +108279,19 @@
"negative_unbounded",
"positive_unbounded"
],
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@@ -109206,7 +108304,7 @@
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@@ -109229,7 +108327,7 @@
}
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"measurement": "sampled joint constraint transforms on common reference-body bounding-box landmarks",
@@ -109237,7 +108335,7 @@
"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
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@@ -109271,29 +108369,29 @@
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
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@@ -109313,7 +108411,7 @@
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@@ -109321,11 +108419,11 @@
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@@ -109335,61 +108433,61 @@
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@@ -109400,12 +108498,12 @@
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@@ -109418,50 +108516,50 @@
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@@ -109597,16 +108695,16 @@
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@@ -109625,9 +108723,9 @@
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@@ -109637,41 +108735,41 @@
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@@ -109681,14 +108779,14 @@
}
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@@ -109708,14 +108806,14 @@
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@@ -109727,19 +108825,19 @@
"negative_unbounded",
"positive_unbounded"
],
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@@ -109752,7 +108850,7 @@
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@@ -109793,19 +108891,19 @@
"negative_unbounded",
"positive_unbounded"
],
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@@ -109818,7 +108916,7 @@
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@@ -109859,19 +108957,19 @@
"negative_unbounded",
"positive_unbounded"
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@@ -109884,7 +108982,7 @@
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@@ -109911,19 +109009,19 @@
"negative_unbounded",
"positive_unbounded"
],
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"mandatory": false,
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+ "status": "fail"
},
{
"category": "materials_textures",
@@ -111708,10 +110806,10 @@
}
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@@ -111720,18 +110818,18 @@
"profile_optional_count": 51,
"schema": "simready-validator-optional-score-v1",
"scope": "all_optional_profile",
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@@ -111740,13 +110838,13 @@
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[
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[
@@ -111758,12 +110856,12 @@
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@@ -111807,7 +110905,7 @@
},
{
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{
@@ -111957,7 +111055,7 @@
},
{
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{
@@ -112102,12 +111200,12 @@
},
{
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{
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{
@@ -112207,7 +111305,7 @@
},
{
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{
@@ -112277,20 +111375,20 @@
}
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@@ -112310,38 +111408,38 @@
"moving_joints": {
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{
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"candidate_limit_pattern": [
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"positive_unbounded"
],
- "candidate_path": "/HandTruck/Joints/CasterWheel_L_Rolling",
+ "candidate_path": "/HandTruck/Joints/Left_Caster_Roll",
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@@ -112354,7 +111452,7 @@
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3.141592653589793
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@@ -112390,24 +111488,24 @@
"type": "PhysicsPrismaticJoint"
},
{
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"positive_unbounded"
],
- "candidate_path": "/HandTruck/Joints/MainWheel_R_Axle",
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@@ -112420,7 +111518,7 @@
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@@ -112461,19 +111559,19 @@
"negative_unbounded",
"positive_unbounded"
],
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+ "candidate_path": "/HandTruck/Joints/Left_Axle_Rotation",
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@@ -112486,7 +111584,7 @@
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"type": "PhysicsRevoluteJoint",
@@ -112508,24 +111606,24 @@
"type": "PhysicsRevoluteJoint"
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{
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"candidate_limit_pattern": [
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"positive_unbounded"
],
- "candidate_path": "/HandTruck/Joints/CasterWheel_R_Rolling",
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@@ -112538,7 +111636,7 @@
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3.141592653589793
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@@ -112561,7 +111659,7 @@
}
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"measurement": "sampled joint constraint transforms on common reference-body bounding-box landmarks",
@@ -112569,7 +111667,7 @@
"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
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"schema": "source-usd-kinematics-v1",
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@@ -112603,29 +111701,29 @@
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
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"physics:density": {
@@ -112633,19 +111731,19 @@
"eligible": 2048
},
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@@ -112653,11 +111751,11 @@
"eligible": 1439
},
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@@ -112667,61 +111765,61 @@
},
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"candidate_body": "/HandTruck/Frame",
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+ "candidate_body": "/HandTruck/Right_Main_Wheel",
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+ "candidate_body": "/HandTruck/Left_Main_Wheel",
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+ "candidate_body": "/HandTruck/Telescopic_Handle",
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@@ -112732,12 +111830,12 @@
},
{
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+ "candidate_body": "/HandTruck/Release_Latch",
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"reference_body": "/RootNode/Geometry/sm_lock2_a01_obj_00",
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@@ -112750,50 +111848,50 @@
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+ "candidate_body": "/HandTruck/Right_Caster_Fork",
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+ "candidate_body": "/HandTruck/Left_Caster_Fork",
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+ "candidate_body": "/HandTruck/Right_Caster_Wheel",
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+ "candidate_body": "/HandTruck/Left_Caster_Wheel",
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"reference_body": "/RootNode/Geometry/sm_rear_wheel2_a01_obj_00",
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@@ -112929,16 +112027,16 @@
"band_m": 0.016163708676063322,
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}
}
@@ -112957,9 +112055,9 @@
"upper_bound_percent": 100.0
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@@ -112969,41 +112067,41 @@
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@@ -113676,43 +112774,43 @@
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- "inference_calls_used": 48,
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- "seed": 756631044,
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@@ -114368,7 +113466,7 @@
"mandatory": false,
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{
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@@ -114396,7 +113494,7 @@
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+ "status": "pass"
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{
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@@ -114564,7 +113662,7 @@
"mandatory": false,
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+ "status": "pass"
},
{
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@@ -114659,10 +113757,10 @@
}
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@@ -114671,11 +113769,11 @@
"profile_optional_count": 51,
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@@ -114749,7 +113847,7 @@
"mandatory": false,
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{
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@@ -114777,7 +113875,7 @@
"mandatory": false,
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@@ -114945,7 +114043,7 @@
"mandatory": false,
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{
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@@ -115040,10 +114138,10 @@
}
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@@ -115052,18 +114150,18 @@
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@@ -115072,13 +114170,13 @@
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[
@@ -115090,17 +114188,17 @@
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{
"feature": "existence_type_connectivity",
@@ -115139,7 +114237,7 @@
},
{
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{
@@ -115289,7 +114387,7 @@
},
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{
@@ -115439,7 +114537,7 @@
},
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{
@@ -115539,7 +114637,7 @@
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{
@@ -115609,22 +114707,22 @@
}
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@@ -115640,40 +114738,40 @@
"upper_bound_percent": null
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{
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"positive_unbounded"
],
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],
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@@ -115686,7 +114784,7 @@
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3.141592653589793
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@@ -115722,24 +114820,24 @@
"type": "PhysicsPrismaticJoint"
},
{
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],
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@@ -115752,7 +114850,7 @@
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3.141592653589793
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@@ -115788,24 +114886,24 @@
"type": "PhysicsRevoluteJoint"
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{
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],
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],
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@@ -115818,7 +114916,7 @@
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3.141592653589793
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"type": "PhysicsRevoluteJoint",
@@ -115840,24 +114938,24 @@
"type": "PhysicsRevoluteJoint"
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{
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"candidate_limit_pattern": [
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"positive_unbounded"
],
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],
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"probe_units": "radians",
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@@ -115870,7 +114968,7 @@
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3.141592653589793
],
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"type": "PhysicsRevoluteJoint",
@@ -115893,7 +114991,7 @@
}
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+ "lower_bound_percent": 1.0327480041644415,
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"measurement": "sampled joint constraint transforms on common reference-body bounding-box landmarks",
@@ -115901,7 +114999,7 @@
"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
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"schema": "source-usd-kinematics-v1",
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@@ -115935,29 +115033,29 @@
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
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+ "upper_bound_percent": 1.0327480041644415
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"materials": {
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"coverage_basis": "reference surface samples with assigned visual materials",
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- "earned": 46.666666666666664,
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- "earned": 1322,
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},
"physics:density": {
@@ -115965,19 +115063,19 @@
"eligible": 2048
},
"physics:dynamicFriction": {
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+ "earned": 976,
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},
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"visual:assignment": {
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+ "earned": 1201,
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},
"visual:diffuseColor": {
@@ -115985,11 +115083,11 @@
"eligible": 1439
},
"visual:metallic": {
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@@ -115999,61 +115097,61 @@
},
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- "score_percent": 8.063433973772492,
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"extra_bodies": 0,
- "geometry_score_percent": 25.396363143651055,
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+ "candidate_body": "/HandTruck/MainWheel_R",
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+ "candidate_body": "/HandTruck/SlidingHandle",
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@@ -116063,10 +115161,14 @@
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{
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{
@@ -116078,50 +115180,50 @@
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@@ -116145,12 +115247,12 @@
},
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@@ -116245,10 +115347,10 @@
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@@ -116257,16 +115359,16 @@
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@@ -116285,9 +115387,9 @@
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@@ -116297,41 +115399,41 @@
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@@ -116341,16 +115443,16 @@
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@@ -116366,40 +115468,40 @@
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@@ -116448,24 +115550,24 @@
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@@ -116478,7 +115580,7 @@
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3.141592653589793
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@@ -116514,24 +115616,24 @@
"type": "PhysicsRevoluteJoint"
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{
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],
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@@ -116544,7 +115646,7 @@
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3.141592653589793
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@@ -116566,24 +115668,24 @@
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],
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@@ -116596,7 +115698,7 @@
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3.141592653589793
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@@ -116619,7 +115721,7 @@
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@@ -116627,7 +115729,7 @@
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@@ -116661,7 +115763,7 @@
"PhysicsRevoluteJoint",
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@@ -116678,13 +115780,13 @@
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@@ -116813,121 +115915,121 @@
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+ "passed": true,
+ "reference_joint": 6
+ },
+ {
+ "feature": "relative_orientation",
+ "passed": true,
+ "reference_joint": 6
+ },
+ {
+ "feature": "limits",
+ "passed": true,
+ "reference_joint": 6
+ },
+ {
+ "feature": "existence_type_connectivity",
+ "passed": false,
+ "reference_joint": 7
+ },
+ {
+ "feature": "joint_enabled",
+ "passed": false,
+ "reference_joint": 7
+ },
+ {
+ "feature": "body0_enabled",
+ "passed": false,
+ "reference_joint": 7
+ },
+ {
+ "feature": "body0_kinematic",
+ "passed": false,
+ "reference_joint": 7
+ },
+ {
+ "feature": "body1_enabled",
+ "passed": false,
+ "reference_joint": 7
+ },
+ {
+ "feature": "body1_kinematic",
+ "passed": false,
+ "reference_joint": 7
+ },
+ {
+ "feature": "anchors",
+ "passed": false,
+ "reference_joint": 7
+ },
+ {
+ "feature": "axes",
+ "passed": false,
+ "reference_joint": 7
+ },
+ {
+ "feature": "relative_orientation",
+ "passed": false,
+ "reference_joint": 7
+ },
+ {
+ "feature": "limits",
+ "passed": false,
+ "reference_joint": 7
+ },
+ {
+ "feature": "existence_type_connectivity",
+ "passed": true,
+ "reference_joint": 8
+ },
+ {
+ "feature": "joint_enabled",
+ "passed": true,
+ "reference_joint": 8
+ },
+ {
+ "feature": "body0_enabled",
+ "passed": true,
+ "reference_joint": 8
+ },
+ {
+ "feature": "body0_kinematic",
+ "passed": true,
+ "reference_joint": 8
+ },
+ {
+ "feature": "body1_enabled",
+ "passed": true,
+ "reference_joint": 8
+ },
+ {
+ "feature": "body1_kinematic",
+ "passed": true,
+ "reference_joint": 8
+ },
+ {
+ "feature": "anchors",
+ "passed": false,
+ "reference_joint": 8
+ },
+ {
+ "feature": "axes",
+ "passed": true,
+ "reference_joint": 8
+ },
+ {
+ "feature": "relative_orientation",
+ "passed": true,
+ "reference_joint": 8
+ },
+ {
+ "feature": "limits",
+ "passed": true,
+ "reference_joint": 8
+ },
+ {
+ "feature": "existence_type_connectivity",
+ "passed": false,
+ "reference_joint": 9
+ },
+ {
+ "feature": "joint_enabled",
+ "passed": false,
+ "reference_joint": 9
+ },
+ {
+ "feature": "body0_enabled",
+ "passed": false,
+ "reference_joint": 9
+ },
+ {
+ "feature": "body0_kinematic",
+ "passed": false,
+ "reference_joint": 9
+ },
+ {
+ "feature": "body1_enabled",
+ "passed": false,
+ "reference_joint": 9
+ },
+ {
+ "feature": "body1_kinematic",
+ "passed": false,
+ "reference_joint": 9
+ },
+ {
+ "feature": "anchors",
+ "passed": false,
+ "reference_joint": 9
+ },
+ {
+ "feature": "axes",
+ "passed": false,
+ "reference_joint": 9
+ },
+ {
+ "feature": "relative_orientation",
+ "passed": false,
+ "reference_joint": 9
+ },
+ {
+ "feature": "limits",
+ "passed": false,
+ "reference_joint": 9
+ },
{
"feature": "joint_count",
"passed": false,
@@ -118587,89 +118039,89 @@
}
],
"coverage_fraction": 1.0,
- "earned": 8,
- "eligible": 31,
- "extra_joint_count": 1,
- "measured": 31,
- "reference_joint_count": 3,
- "reference_possible_checks": 31,
- "score_percent": 25.806451612903224,
+ "earned": 36,
+ "eligible": 101,
+ "extra_joint_count": 0,
+ "measured": 101,
+ "reference_joint_count": 10,
+ "reference_possible_checks": 101,
+ "score_percent": 35.64356435643565,
"status": "measured"
},
"kinematics": {
"aggregation": "geometric mean of moving-joint and fixed-constraint recovery, each 2*sum(quality)/(reference_count+candidate_count)",
- "candidate_joint_count": 4,
+ "candidate_joint_count": 7,
"coverage_fraction": 1.0,
- "earned": 0.0,
- "eligible": 2,
+ "earned": 0.020781840884305944,
+ "eligible": 1,
"extra_joint_count": 3,
"finite_extent_treatment": "1/(1+(unwrapped interval extent error/(absolute range tolerance+relative tolerance*reference extent))^2)",
"groups": {
"fixed_constraints": {
- "candidate_joint_count": 1,
- "coverage_fraction": 1.0,
+ "candidate_joint_count": 0,
+ "coverage_fraction": 0,
"earned": 0,
- "eligible": 1,
- "lower_bound_percent": 0.0,
- "measured": 1,
+ "eligible": 0,
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+ "measured": 0,
"reference_joint_count": 0,
- "score_percent": 0.0,
- "status": "measured",
- "upper_bound_percent": 0.0
+ "score_percent": null,
+ "status": "not_applicable",
+ "upper_bound_percent": null
},
"moving_joints": {
- "candidate_joint_count": 3,
+ "candidate_joint_count": 7,
"coverage_fraction": 1.0,
- "earned": 0.08099690167232226,
- "eligible": 6,
- "lower_bound_percent": 1.349948361205371,
- "measured": 6,
- "reference_joint_count": 3,
- "score_percent": 1.349948361205371,
+ "earned": 0.353291295033201,
+ "eligible": 17,
+ "lower_bound_percent": 2.078184088430594,
+ "measured": 17,
+ "reference_joint_count": 10,
+ "score_percent": 2.078184088430594,
"status": "measured",
- "upper_bound_percent": 1.349948361205371
+ "upper_bound_percent": 2.078184088430594
}
},
"infinite_range_probes": "one full revolution or one reference diagonal, centred at a canonical coordinate for fully unbounded motion or anchored at the finite endpoint for half-bounded motion; authored limits remain unchanged",
"joint_quality": "motion_credit*unwrapped_extent_credit*limit_pattern_credit, with motion_credit=1/(1+(motion_rms_m/distance_band_m)^2)",
"joints": [
{
- "candidate_joint": 3,
+ "candidate_joint": 4,
"candidate_limit_pattern": [
- "finite",
- "finite"
+ "negative_unbounded",
+ "positive_unbounded"
],
- "candidate_path": "/Kettle/Joints/PowerRockerPivot",
+ "candidate_path": "/HandTruck/Joints/CasterRollLeft",
"candidate_probe_interval": [
- -0.24434609527920614,
- 0.24434609527920614
+ -3.141592653589793,
+ 3.141592653589793
],
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+ "earned": 0.03025359811858904,
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"limit_pattern_mismatches": 0,
"measured": 1,
- "motion_credit": 0.2138568610741874,
- "motion_rms_m": 0.00902056283024612,
+ "motion_credit": 0.03025359811858904,
+ "motion_rms_m": 0.09151274574001962,
"probe_units": "radians",
"reason": "measured_motion",
"reference_joint": 0,
"reference_limit_pattern": [
- "finite",
- "finite"
+ "negative_unbounded",
+ "positive_unbounded"
],
- "reference_path": "/RootNode/Joints/joint_sm_kitchenware_kettle_a01_switch_joint_00",
+ "reference_path": "/RootNode/Joints/joint_sm_rear_wheel2_a01_joint_00",
"reference_probe_interval": [
- -0.13962634015954636,
- 0.13962634015954636
+ -3.141592653589793,
+ 3.141592653589793
],
- "score_percent": 4.0498450836161135,
+ "score_percent": 3.025359811858904,
"status": "measured",
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"type": "PhysicsRevoluteJoint",
- "unwrapped_extent_credit": 0.1893717631164152,
- "unwrapped_extent_error": 0.20943951023931956
+ "unwrapped_extent_credit": 1.0,
+ "unwrapped_extent_error": null
},
{
"candidate_joint": null,
@@ -118680,7 +118132,7 @@
"motion_rms_m": null,
"reason": "missing_joint",
"reference_joint": 1,
- "reference_path": "/RootNode/Joints/joint_sm_kitchenware_kettle_a01_button_joint_00",
+ "reference_path": "/RootNode/Joints/joint_sm_rear_frame2_a01_joint_00",
"score_percent": 0.0,
"status": "measured",
"type": "PhysicsRevoluteJoint"
@@ -118694,28 +118146,198 @@
"motion_rms_m": null,
"reason": "missing_joint",
"reference_joint": 2,
- "reference_path": "/RootNode/Joints/joint_sm_kitchenware_kettle_a01_lid_joint_00",
+ "reference_path": "/RootNode/Joints/joint_sm_handle_a01_joint_00",
+ "score_percent": 0.0,
+ "status": "measured",
+ "type": "PhysicsPrismaticJoint"
+ },
+ {
+ "candidate_joint": 2,
+ "candidate_limit_pattern": [
+ "negative_unbounded",
+ "positive_unbounded"
+ ],
+ "candidate_path": "/HandTruck/Joints/AxleRotationRight",
+ "candidate_probe_interval": [
+ -3.141592653589793,
+ 3.141592653589793
+ ],
+ "coverage_fraction": 1,
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+ "limit_pattern_mismatches": 0,
+ "measured": 1,
+ "motion_credit": 0.0602200764193428,
+ "motion_rms_m": 0.06385331438235578,
+ "probe_units": "radians",
+ "reason": "measured_motion",
+ "reference_joint": 3,
+ "reference_limit_pattern": [
+ "negative_unbounded",
+ "positive_unbounded"
+ ],
+ "reference_path": "/RootNode/Joints/joint_sm_front_wheel1_a01_joint_00",
+ "reference_probe_interval": [
+ -3.141592653589793,
+ 3.141592653589793
+ ],
+ "score_percent": 6.02200764193428,
+ "status": "measured",
+ "swapped_endpoints": false,
+ "type": "PhysicsRevoluteJoint",
+ "unwrapped_extent_credit": 1.0,
+ "unwrapped_extent_error": null
+ },
+ {
+ "candidate_joint": null,
+ "coverage_fraction": 1,
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+ "eligible": 1,
+ "measured": 1,
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+ "reason": "missing_joint",
+ "reference_joint": 4,
+ "reference_path": "/RootNode/Joints/joint_sm_lock1_a01_joint_00",
+ "score_percent": 0.0,
+ "status": "measured",
+ "type": "PhysicsPrismaticJoint"
+ },
+ {
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+ "reason": "missing_joint",
+ "reference_joint": 5,
+ "reference_path": "/RootNode/Joints/joint_sm_rear_frame1_a01_joint_00",
+ "score_percent": 0.0,
+ "status": "measured",
+ "type": "PhysicsRevoluteJoint"
+ },
+ {
+ "candidate_joint": 1,
+ "candidate_limit_pattern": [
+ "negative_unbounded",
+ "positive_unbounded"
+ ],
+ "candidate_path": "/HandTruck/Joints/AxleRotationLeft",
+ "candidate_probe_interval": [
+ -3.141592653589793,
+ 3.141592653589793
+ ],
+ "coverage_fraction": 1,
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+ "limit_pattern_mismatches": 0,
+ "measured": 1,
+ "motion_credit": 0.05614257318542662,
+ "motion_rms_m": 0.06627474359989383,
+ "probe_units": "radians",
+ "reason": "measured_motion",
+ "reference_joint": 6,
+ "reference_limit_pattern": [
+ "negative_unbounded",
+ "positive_unbounded"
+ ],
+ "reference_path": "/RootNode/Joints/joint_sm_front_wheel2_a01_joint_00",
+ "reference_probe_interval": [
+ -3.141592653589793,
+ 3.141592653589793
+ ],
+ "score_percent": 5.614257318542662,
+ "status": "measured",
+ "swapped_endpoints": false,
+ "type": "PhysicsRevoluteJoint",
+ "unwrapped_extent_credit": 1.0,
+ "unwrapped_extent_error": null
+ },
+ {
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+ "coverage_fraction": 1,
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+ "reason": "missing_joint",
+ "reference_joint": 7,
+ "reference_path": "/RootNode/Joints/joint_sm_mount_a01_joint_01",
"score_percent": 0.0,
"status": "measured",
"type": "PhysicsRevoluteJoint"
+ },
+ {
+ "candidate_joint": 6,
+ "candidate_limit_pattern": [
+ "negative_unbounded",
+ "positive_unbounded"
+ ],
+ "candidate_path": "/HandTruck/Joints/CasterRollRight",
+ "candidate_probe_interval": [
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+ 3.141592653589793
+ ],
+ "coverage_fraction": 1,
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+ "limit_pattern_mismatches": 0,
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+ "motion_credit": 0.03002939979324204,
+ "motion_rms_m": 0.0918643431228731,
+ "probe_units": "radians",
+ "reason": "measured_motion",
+ "reference_joint": 8,
+ "reference_limit_pattern": [
+ "negative_unbounded",
+ "positive_unbounded"
+ ],
+ "reference_path": "/RootNode/Joints/joint_sm_rear_wheel1_a01_joint_00",
+ "reference_probe_interval": [
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+ 3.141592653589793
+ ],
+ "score_percent": 3.002939979324204,
+ "status": "measured",
+ "swapped_endpoints": false,
+ "type": "PhysicsRevoluteJoint",
+ "unwrapped_extent_credit": 1.0,
+ "unwrapped_extent_error": null
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+ {
+ "candidate_joint": null,
+ "coverage_fraction": 1,
+ "earned": 0.0,
+ "eligible": 1,
+ "measured": 1,
+ "motion_rms_m": null,
+ "reason": "missing_joint",
+ "reference_joint": 9,
+ "reference_path": "/RootNode/Joints/joint_sm_lock2_a01_joint_00",
+ "score_percent": 0.0,
+ "status": "measured",
+ "type": "PhysicsPrismaticJoint"
}
],
"limit_pattern_treatment": "1/(1+number of differing bound endpoint states after coordinate normalisation)",
- "lower_bound_percent": 0.0,
- "matched_joint_count": 1,
- "measured": 2,
+ "lower_bound_percent": 2.078184088430594,
+ "matched_joint_count": 4,
+ "measured": 1,
"measurement": "sampled joint constraint transforms on common reference-body bounding-box landmarks",
- "missing_joint_count": 2,
+ "missing_joint_count": 6,
"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
- "reference_joint_count": 3,
+ "reference_joint_count": 10,
"schema": "source-usd-kinematics-v1",
- "score_percent": 0.0,
+ "score_percent": 2.078184088430594,
"settings": {
- "distance_band_m": 0.004704835199778105,
+ "distance_band_m": 0.016163708676063322,
"range_absolute_degrees": 5,
"range_absolute_m": 0.005,
"range_relative": 0.05,
- "reference_diagonal_m": 0.3704835199778104,
+ "reference_diagonal_m": 1.516370867606332,
"sweep_fractions": [
0.0,
0.03444185374863373,
@@ -118743,26 +118365,26 @@
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
- "upper_bound_percent": 0.0
+ "upper_bound_percent": 2.078184088430594
},
"materials": {
"appearance": {
"aggregation": "mean per-sample appearance-property match fraction",
"coverage_basis": "reference surface samples with assigned visual materials",
"coverage_fraction": 1.0,
- "earned": 812.75,
+ "earned": 46.666666666666664,
"eligible": 2048,
- "lower_bound_percent": 39.68505859375,
+ "lower_bound_percent": 2.278645833333333,
"measured": 2048,
- "score_percent": 39.68505859375,
+ "score_percent": 2.278645833333333,
"status": "measured",
"unknown": 0,
- "upper_bound_percent": 39.68505859375
+ "upper_bound_percent": 2.278645833333326
},
"coverage_basis": "reference area samples with supported effective material properties",
- "coverage_fraction": 0.8333333333333334,
- "earned": 5039,
- "eligible": 20480,
+ "coverage_fraction": 0.6671142578125,
+ "earned": 1322,
+ "eligible": 16395,
"features": {
"physics:assignment": {
"earned": 0,
@@ -118785,86 +118407,151 @@
"eligible": 2048
},
"visual:assignment": {
- "earned": 1788,
+ "earned": 1182,
"eligible": 2048
},
"visual:diffuseColor": {
- "earned": 372,
- "eligible": 2048
+ "earned": 0,
+ "eligible": 1439
},
"visual:metallic": {
- "earned": 1523,
- "eligible": 2048
+ "earned": 140,
+ "eligible": 310
},
"visual:opacity": {
"earned": 0,
"eligible": 2048
},
"visual:roughness": {
- "earned": 1356,
- "eligible": 2048
+ "earned": 0,
+ "eligible": 310
}
},
- "measured": 20480,
+ "measured": 16395,
"reference_possible_fields": 24576,
- "score_percent": 24.6044921875,
+ "score_percent": 8.063433973772492,
"status": "measured"
},
"rigid_parts": {
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- "earned": 1.6057304824528367,
- "eligible": 4,
- "extra_bodies": 1,
- "geometry_score_percent": 40.14326206132092,
- "measured": 4,
- "missing_parts": 0,
+ "earned": 2.793599945801616,
+ "eligible": 11,
+ "extra_bodies": 0,
+ "geometry_score_percent": 25.396363143651055,
+ "measured": 11,
+ "missing_parts": 3,
"parts": [
{
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- "candidate_body": "/Kettle/Vessel",
- "p95_m": 0.017853642886386384,
- "precision": 0.794921875,
- "recall": 0.87451171875,
- "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_body_obj_01",
- "rms_m": 0.009680385125410996,
+ "band_m": 0.016163708676063322,
+ "candidate_body": "/HandTruck/Frame",
+ "p95_m": 0.04569776902066465,
+ "precision": 0.58740234375,
+ "recall": 0.55126953125,
+ "reference_body": "/RootNode/Geometry/sm_body_a01_obj_00",
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- "score_percent": 83.28195835770693
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{
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- "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_button_obj_00",
- "rms_m": 0.010844087557243564,
+ "band_m": 0.016163708676063322,
+ "candidate_body": "/HandTruck/MainWheelRight",
+ "p95_m": 0.04210656235703328,
+ "precision": 0.52685546875,
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+ "reference_body": "/RootNode/Geometry/sm_front_wheel1_a01_obj_00",
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- "score_percent": 16.697482184884937
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- "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_lid_obj_01",
- "rms_m": 0.005251909068993193,
+ "band_m": 0.016163708676063322,
+ "candidate_body": "/HandTruck/MainWheelLeft",
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+ "reference_body": "/RootNode/Geometry/sm_front_wheel2_a01_obj_00",
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- "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_switch_obj_00",
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+ "candidate_body": "/HandTruck/Handle",
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+ "reference_body": "/RootNode/Geometry/sm_handle_a01_obj_00",
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+ "rms_m": 0.03695986693589715,
+ "samples_each_direction": 2048,
+ "score_percent": 19.331650152439025
+ },
+ {
+ "band_m": 0.016163708676063322,
+ "candidate_body": "/HandTruck/CasterWheelRight",
+ "p95_m": 0.06240422844464052,
+ "precision": 0.15087890625,
+ "recall": 0.1884765625,
+ "reference_body": "/RootNode/Geometry/sm_rear_wheel1_a01_obj_00",
+ "rms_m": 0.03921931673250929,
+ "samples_each_direction": 2048,
+ "score_percent": 16.759498651079134
+ },
+ {
+ "band_m": 0.016163708676063322,
+ "candidate_body": "/HandTruck/CasterWheelLeft",
+ "p95_m": 0.06322702365878616,
+ "precision": 0.1396484375,
+ "recall": 0.19921875,
+ "reference_body": "/RootNode/Geometry/sm_rear_wheel2_a01_obj_00",
+ "rms_m": 0.03952082601772596,
+ "samples_each_direction": 2048,
+ "score_percent": 16.419758645533143
}
],
- "score_percent": 40.14326206132092,
+ "score_percent": 25.396363143651055,
"status": "measured",
"structure": {
"checks": [
@@ -118879,67 +118566,137 @@
{
"feature": "body_enabled",
"passed": true,
- "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_button_obj_00"
+ "reference_body": "/RootNode/Geometry/sm_handle_a01_obj_00"
},
{
"feature": "body_kinematic",
"passed": true,
- "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_button_obj_00"
+ "reference_body": "/RootNode/Geometry/sm_handle_a01_obj_00"
+ },
+ {
+ "feature": "body_enabled",
+ "passed": false,
+ "reference_body": "/RootNode/Geometry/sm_lock2_a01_obj_00"
+ },
+ {
+ "feature": "body_kinematic",
+ "passed": false,
+ "reference_body": "/RootNode/Geometry/sm_lock2_a01_obj_00"
},
{
"feature": "body_enabled",
"passed": true,
- "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_body_obj_01"
+ "reference_body": "/RootNode/Geometry/sm_rear_frame1_a01_obj_00"
},
{
"feature": "body_kinematic",
"passed": true,
- "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_body_obj_01"
+ "reference_body": "/RootNode/Geometry/sm_rear_frame1_a01_obj_00"
},
{
"feature": "body_enabled",
"passed": true,
- "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_lid_obj_01"
+ "reference_body": "/RootNode/Geometry/sm_front_wheel2_a01_obj_00"
},
{
"feature": "body_kinematic",
"passed": true,
- "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_lid_obj_01"
+ "reference_body": "/RootNode/Geometry/sm_front_wheel2_a01_obj_00"
},
{
"feature": "body_enabled",
"passed": true,
- "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_switch_obj_00"
+ "reference_body": "/RootNode/Geometry/sm_rear_wheel1_a01_obj_00"
},
{
"feature": "body_kinematic",
"passed": true,
- "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_switch_obj_00"
+ "reference_body": "/RootNode/Geometry/sm_rear_wheel1_a01_obj_00"
+ },
+ {
+ "feature": "body_enabled",
+ "passed": false,
+ "reference_body": "/RootNode/Geometry/sm_mount_a01_obj_01"
+ },
+ {
+ "feature": "body_kinematic",
+ "passed": false,
+ "reference_body": "/RootNode/Geometry/sm_mount_a01_obj_01"
+ },
+ {
+ "feature": "body_enabled",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/sm_front_wheel1_a01_obj_00"
+ },
+ {
+ "feature": "body_kinematic",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/sm_front_wheel1_a01_obj_00"
+ },
+ {
+ "feature": "body_enabled",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/sm_body_a01_obj_00"
+ },
+ {
+ "feature": "body_kinematic",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/sm_body_a01_obj_00"
+ },
+ {
+ "feature": "body_enabled",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/sm_rear_wheel2_a01_obj_00"
+ },
+ {
+ "feature": "body_kinematic",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/sm_rear_wheel2_a01_obj_00"
+ },
+ {
+ "feature": "body_enabled",
+ "passed": false,
+ "reference_body": "/RootNode/Geometry/sm_lock1_a01_obj_00"
+ },
+ {
+ "feature": "body_kinematic",
+ "passed": false,
+ "reference_body": "/RootNode/Geometry/sm_lock1_a01_obj_00"
+ },
+ {
+ "feature": "body_enabled",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/sm_rear_frame2_a01_obj_00"
+ },
+ {
+ "feature": "body_kinematic",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/sm_rear_frame2_a01_obj_00"
}
],
"coverage_fraction": 1,
- "earned": 8,
- "eligible": 10,
- "measured": 10,
- "score_percent": 80.0,
+ "earned": 16,
+ "eligible": 24,
+ "measured": 24,
+ "score_percent": 66.66666666666667,
"status": "measured"
},
"treatment": "minimum of reference-body mean surface F-score and fixed rigid-structure check fraction; no cross-component weighting"
},
"shape": {
- "band_m": 0.004704835199778105,
+ "band_m": 0.016163708676063322,
"coverage_basis": "fixed source supported-visible-prim fraction",
"coverage_fraction": 1.0,
- "earned": 0.8267723056537103,
+ "earned": 0.5737101063829787,
"eligible": 1,
"full_surface_correspondence": "supported_authored_surfaces",
"measured": 1,
- "p95_m": 0.010835372440486993,
- "precision": 0.78515625,
- "recall": 0.873046875,
- "rms_m": 0.004791977992880864,
+ "p95_m": 0.04161126948572971,
+ "precision": 0.5703125,
+ "recall": 0.5771484375,
+ "rms_m": 0.021018873698626907,
"samples_each_direction": 2048,
- "score_percent": 82.67723056537103,
+ "score_percent": 57.37101063829787,
"status": "measured"
}
}
@@ -118958,139 +118715,139 @@
"upper_bound_percent": 100.0
},
"visual": {
- "score_percent": 57.2804568710457,
+ "score_percent": 11.433643966167557,
"status": "measured",
- "earned": 1.145609137420914,
+ "earned": 0.22867287932335112,
"eligible": 2,
"measured": 2,
"coverage_fraction": 1.0,
"aggregation": "geometric_mean",
"factors": {
"shape": {
- "band_m": 0.004704835199778105,
+ "band_m": 0.016163708676063322,
"coverage_basis": "fixed source supported-visible-prim fraction",
"coverage_fraction": 1.0,
- "earned": 0.8267723056537103,
+ "earned": 0.5737101063829787,
"eligible": 1,
"full_surface_correspondence": "supported_authored_surfaces",
"measured": 1,
- "p95_m": 0.010835372440486993,
- "precision": 0.78515625,
- "recall": 0.873046875,
- "rms_m": 0.004791977992880864,
+ "p95_m": 0.04161126948572971,
+ "precision": 0.5703125,
+ "recall": 0.5771484375,
+ "rms_m": 0.021018873698626907,
"samples_each_direction": 2048,
- "score_percent": 82.67723056537103,
+ "score_percent": 57.37101063829787,
"status": "measured"
},
"appearance": {
"aggregation": "mean per-sample appearance-property match fraction",
"coverage_basis": "reference surface samples with assigned visual materials",
"coverage_fraction": 1.0,
- "earned": 812.75,
+ "earned": 46.666666666666664,
"eligible": 2048,
- "lower_bound_percent": 39.68505859375,
+ "lower_bound_percent": 2.278645833333333,
"measured": 2048,
- "score_percent": 39.68505859375,
+ "score_percent": 2.278645833333333,
"status": "measured",
"unknown": 0,
- "upper_bound_percent": 39.68505859375,
+ "upper_bound_percent": 2.278645833333326,
"features": {
"visual:diffuseColor": {
- "earned": 372,
- "eligible": 2048
+ "earned": 0,
+ "eligible": 1439
},
"visual:metallic": {
- "earned": 1523,
- "eligible": 2048
+ "earned": 140,
+ "eligible": 310
},
"visual:opacity": {
"earned": 0,
"eligible": 2048
},
"visual:roughness": {
- "earned": 1356,
- "eligible": 2048
+ "earned": 0,
+ "eligible": 310
}
}
}
},
- "lower_bound_percent": 57.2804568710457,
- "upper_bound_percent": 57.2804568710457
+ "lower_bound_percent": 11.433643966167557,
+ "upper_bound_percent": 11.433643966167557
},
"kinematic": {
"aggregation": "geometric mean of moving-joint and fixed-constraint recovery, each 2*sum(quality)/(reference_count+candidate_count)",
- "candidate_joint_count": 4,
+ "candidate_joint_count": 7,
"coverage_fraction": 1.0,
- "earned": 0.0,
- "eligible": 2,
+ "earned": 0.020781840884305944,
+ "eligible": 1,
"extra_joint_count": 3,
"finite_extent_treatment": "1/(1+(unwrapped interval extent error/(absolute range tolerance+relative tolerance*reference extent))^2)",
"groups": {
"fixed_constraints": {
- "candidate_joint_count": 1,
- "coverage_fraction": 1.0,
+ "candidate_joint_count": 0,
+ "coverage_fraction": 0,
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- "measured": 1,
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- "status": "measured",
- "upper_bound_percent": 0.0
+ "eligible": 0,
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+ "score_percent": null,
+ "status": "not_applicable",
+ "upper_bound_percent": null
},
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+ "candidate_joint_count": 7,
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- "measured": 6,
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- "score_percent": 1.349948361205371,
+ "earned": 0.353291295033201,
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"status": "measured",
- "upper_bound_percent": 1.349948361205371
+ "upper_bound_percent": 2.078184088430594
}
},
"infinite_range_probes": "one full revolution or one reference diagonal, centred at a canonical coordinate for fully unbounded motion or anchored at the finite endpoint for half-bounded motion; authored limits remain unchanged",
"joint_quality": "motion_credit*unwrapped_extent_credit*limit_pattern_credit, with motion_credit=1/(1+(motion_rms_m/distance_band_m)^2)",
"joints": [
{
- "candidate_joint": 3,
+ "candidate_joint": 4,
"candidate_limit_pattern": [
- "finite",
- "finite"
+ "negative_unbounded",
+ "positive_unbounded"
],
- "candidate_path": "/Kettle/Joints/PowerRockerPivot",
+ "candidate_path": "/HandTruck/Joints/CasterRollLeft",
"candidate_probe_interval": [
- -0.24434609527920614,
- 0.24434609527920614
+ -3.141592653589793,
+ 3.141592653589793
],
"coverage_fraction": 1,
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+ "earned": 0.03025359811858904,
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"limit_pattern_mismatches": 0,
"measured": 1,
- "motion_credit": 0.2138568610741874,
- "motion_rms_m": 0.00902056283024612,
+ "motion_credit": 0.03025359811858904,
+ "motion_rms_m": 0.09151274574001962,
"probe_units": "radians",
"reason": "measured_motion",
"reference_joint": 0,
"reference_limit_pattern": [
- "finite",
- "finite"
+ "negative_unbounded",
+ "positive_unbounded"
],
- "reference_path": "/RootNode/Joints/joint_sm_kitchenware_kettle_a01_switch_joint_00",
+ "reference_path": "/RootNode/Joints/joint_sm_rear_wheel2_a01_joint_00",
"reference_probe_interval": [
- -0.13962634015954636,
- 0.13962634015954636
+ -3.141592653589793,
+ 3.141592653589793
],
- "score_percent": 4.0498450836161135,
+ "score_percent": 3.025359811858904,
"status": "measured",
"swapped_endpoints": false,
"type": "PhysicsRevoluteJoint",
- "unwrapped_extent_credit": 0.1893717631164152,
- "unwrapped_extent_error": 0.20943951023931956
+ "unwrapped_extent_credit": 1.0,
+ "unwrapped_extent_error": null
},
{
"candidate_joint": null,
@@ -119101,7 +118858,7 @@
"motion_rms_m": null,
"reason": "missing_joint",
"reference_joint": 1,
- "reference_path": "/RootNode/Joints/joint_sm_kitchenware_kettle_a01_button_joint_00",
+ "reference_path": "/RootNode/Joints/joint_sm_rear_frame2_a01_joint_00",
"score_percent": 0.0,
"status": "measured",
"type": "PhysicsRevoluteJoint"
@@ -119115,28 +118872,198 @@
"motion_rms_m": null,
"reason": "missing_joint",
"reference_joint": 2,
- "reference_path": "/RootNode/Joints/joint_sm_kitchenware_kettle_a01_lid_joint_00",
+ "reference_path": "/RootNode/Joints/joint_sm_handle_a01_joint_00",
+ "score_percent": 0.0,
+ "status": "measured",
+ "type": "PhysicsPrismaticJoint"
+ },
+ {
+ "candidate_joint": 2,
+ "candidate_limit_pattern": [
+ "negative_unbounded",
+ "positive_unbounded"
+ ],
+ "candidate_path": "/HandTruck/Joints/AxleRotationRight",
+ "candidate_probe_interval": [
+ -3.141592653589793,
+ 3.141592653589793
+ ],
+ "coverage_fraction": 1,
+ "earned": 0.0602200764193428,
+ "eligible": 1,
+ "limit_pattern_credit": 1.0,
+ "limit_pattern_mismatches": 0,
+ "measured": 1,
+ "motion_credit": 0.0602200764193428,
+ "motion_rms_m": 0.06385331438235578,
+ "probe_units": "radians",
+ "reason": "measured_motion",
+ "reference_joint": 3,
+ "reference_limit_pattern": [
+ "negative_unbounded",
+ "positive_unbounded"
+ ],
+ "reference_path": "/RootNode/Joints/joint_sm_front_wheel1_a01_joint_00",
+ "reference_probe_interval": [
+ -3.141592653589793,
+ 3.141592653589793
+ ],
+ "score_percent": 6.02200764193428,
+ "status": "measured",
+ "swapped_endpoints": false,
+ "type": "PhysicsRevoluteJoint",
+ "unwrapped_extent_credit": 1.0,
+ "unwrapped_extent_error": null
+ },
+ {
+ "candidate_joint": null,
+ "coverage_fraction": 1,
+ "earned": 0.0,
+ "eligible": 1,
+ "measured": 1,
+ "motion_rms_m": null,
+ "reason": "missing_joint",
+ "reference_joint": 4,
+ "reference_path": "/RootNode/Joints/joint_sm_lock1_a01_joint_00",
+ "score_percent": 0.0,
+ "status": "measured",
+ "type": "PhysicsPrismaticJoint"
+ },
+ {
+ "candidate_joint": null,
+ "coverage_fraction": 1,
+ "earned": 0.0,
+ "eligible": 1,
+ "measured": 1,
+ "motion_rms_m": null,
+ "reason": "missing_joint",
+ "reference_joint": 5,
+ "reference_path": "/RootNode/Joints/joint_sm_rear_frame1_a01_joint_00",
"score_percent": 0.0,
"status": "measured",
"type": "PhysicsRevoluteJoint"
+ },
+ {
+ "candidate_joint": 1,
+ "candidate_limit_pattern": [
+ "negative_unbounded",
+ "positive_unbounded"
+ ],
+ "candidate_path": "/HandTruck/Joints/AxleRotationLeft",
+ "candidate_probe_interval": [
+ -3.141592653589793,
+ 3.141592653589793
+ ],
+ "coverage_fraction": 1,
+ "earned": 0.05614257318542662,
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+ "limit_pattern_credit": 1.0,
+ "limit_pattern_mismatches": 0,
+ "measured": 1,
+ "motion_credit": 0.05614257318542662,
+ "motion_rms_m": 0.06627474359989383,
+ "probe_units": "radians",
+ "reason": "measured_motion",
+ "reference_joint": 6,
+ "reference_limit_pattern": [
+ "negative_unbounded",
+ "positive_unbounded"
+ ],
+ "reference_path": "/RootNode/Joints/joint_sm_front_wheel2_a01_joint_00",
+ "reference_probe_interval": [
+ -3.141592653589793,
+ 3.141592653589793
+ ],
+ "score_percent": 5.614257318542662,
+ "status": "measured",
+ "swapped_endpoints": false,
+ "type": "PhysicsRevoluteJoint",
+ "unwrapped_extent_credit": 1.0,
+ "unwrapped_extent_error": null
+ },
+ {
+ "candidate_joint": null,
+ "coverage_fraction": 1,
+ "earned": 0.0,
+ "eligible": 1,
+ "measured": 1,
+ "motion_rms_m": null,
+ "reason": "missing_joint",
+ "reference_joint": 7,
+ "reference_path": "/RootNode/Joints/joint_sm_mount_a01_joint_01",
+ "score_percent": 0.0,
+ "status": "measured",
+ "type": "PhysicsRevoluteJoint"
+ },
+ {
+ "candidate_joint": 6,
+ "candidate_limit_pattern": [
+ "negative_unbounded",
+ "positive_unbounded"
+ ],
+ "candidate_path": "/HandTruck/Joints/CasterRollRight",
+ "candidate_probe_interval": [
+ -3.141592653589793,
+ 3.141592653589793
+ ],
+ "coverage_fraction": 1,
+ "earned": 0.03002939979324204,
+ "eligible": 1,
+ "limit_pattern_credit": 1.0,
+ "limit_pattern_mismatches": 0,
+ "measured": 1,
+ "motion_credit": 0.03002939979324204,
+ "motion_rms_m": 0.0918643431228731,
+ "probe_units": "radians",
+ "reason": "measured_motion",
+ "reference_joint": 8,
+ "reference_limit_pattern": [
+ "negative_unbounded",
+ "positive_unbounded"
+ ],
+ "reference_path": "/RootNode/Joints/joint_sm_rear_wheel1_a01_joint_00",
+ "reference_probe_interval": [
+ -3.141592653589793,
+ 3.141592653589793
+ ],
+ "score_percent": 3.002939979324204,
+ "status": "measured",
+ "swapped_endpoints": false,
+ "type": "PhysicsRevoluteJoint",
+ "unwrapped_extent_credit": 1.0,
+ "unwrapped_extent_error": null
+ },
+ {
+ "candidate_joint": null,
+ "coverage_fraction": 1,
+ "earned": 0.0,
+ "eligible": 1,
+ "measured": 1,
+ "motion_rms_m": null,
+ "reason": "missing_joint",
+ "reference_joint": 9,
+ "reference_path": "/RootNode/Joints/joint_sm_lock2_a01_joint_00",
+ "score_percent": 0.0,
+ "status": "measured",
+ "type": "PhysicsPrismaticJoint"
}
],
"limit_pattern_treatment": "1/(1+number of differing bound endpoint states after coordinate normalisation)",
- "lower_bound_percent": 0.0,
- "matched_joint_count": 1,
- "measured": 2,
+ "lower_bound_percent": 2.078184088430594,
+ "matched_joint_count": 4,
+ "measured": 1,
"measurement": "sampled joint constraint transforms on common reference-body bounding-box landmarks",
- "missing_joint_count": 2,
+ "missing_joint_count": 6,
"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
- "reference_joint_count": 3,
+ "reference_joint_count": 10,
"schema": "source-usd-kinematics-v1",
- "score_percent": 0.0,
+ "score_percent": 2.078184088430594,
"settings": {
- "distance_band_m": 0.004704835199778105,
+ "distance_band_m": 0.016163708676063322,
"range_absolute_degrees": 5,
"range_absolute_m": 0.005,
"range_relative": 0.05,
- "reference_diagonal_m": 0.3704835199778104,
+ "reference_diagonal_m": 1.516370867606332,
"sweep_fractions": [
0.0,
0.03444185374863373,
@@ -119164,15 +119091,15 @@
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
- "upper_bound_percent": 0.0
+ "upper_bound_percent": 2.078184088430594
}
},
"illustrations": {
"rig": {
- "aperture": 0.41396899451809205,
+ "aperture": 2.2244290351473026,
"basis": "reference bounds in metres/Z-up",
"candidate_alignment": {
- "aligned_rms_m": 0.004728547058065731,
+ "aligned_rms_m": 0.021557177947464926,
"converged": false,
"iterations": 16,
"maximum_iterations_per_start": 8,
@@ -119181,13 +119108,13 @@
"refined_starts": 2,
"rotation": [
[
- 0.9999999336010567,
- -0.00036441443742710845,
+ 0.9999377765795638,
+ -0.011155400894556642,
0.0
],
[
- 0.00036441443742710845,
- 0.9999999336010567,
+ 0.011155400894556642,
+ 0.9999377765795638,
0.0
],
[
@@ -119199,23 +119126,23 @@
"samples_each_direction": 128,
"scale": 1.0,
"translation_m": [
- 0.0001229506774112593,
- -0.020890014554298342,
- 0.00010793434554709491
+ 0.00015734971321955046,
+ -0.1037616261392526,
+ -0.051794878132268796
],
- "unaligned_rms_m": 0.012235625398782857,
- "yaw_degrees": 0.020879409720331126,
+ "unaligned_rms_m": 0.06293364064441676,
+ "yaw_degrees": 0.6391706472175238,
"yaw_starts": 32
},
"center": [
- 3.933906555175781e-06,
- 0.002603907138109207,
- 0.12563488633944855
+ 1.6916547461331977e-05,
+ -0.11341898890482713,
+ 0.6740776896831383
],
"lighting": "Storm fixed camera light, source lights disabled",
"projection": "orthographic",
"schema": "simready-illustration-rig-v1",
- "span": 0.2508902997079346,
+ "span": 1.3481388091801836,
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+ "status": "pass"
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{
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@@ -120824,7 +120745,7 @@
"mandatory": false,
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+ "status": "pass"
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{
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@@ -120877,10 +120798,10 @@
}
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@@ -120889,18 +120810,18 @@
"profile_optional_count": 51,
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@@ -120909,13 +120830,13 @@
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[
@@ -120927,12 +120848,12 @@
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@@ -120986,7 +120907,7 @@
},
{
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{
@@ -121041,32 +120962,32 @@
},
{
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{
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{
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{
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{
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{
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{
@@ -121076,12 +120997,12 @@
},
{
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{
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{
@@ -121096,13 +121017,13 @@
}
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@@ -121111,7 +121032,7 @@
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@@ -121129,14 +121050,14 @@
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@@ -121148,19 +121069,19 @@
"finite",
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@@ -121173,12 +121094,12 @@
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@@ -121195,50 +121116,26 @@
"type": "PhysicsRevoluteJoint"
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{
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@@ -121283,18 +121180,18 @@
"aggregation": "mean per-sample appearance-property match fraction",
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@@ -121318,15 +121215,15 @@
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@@ -121334,70 +121231,70 @@
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@@ -121463,16 +121360,16 @@
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@@ -121491,9 +121388,9 @@
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@@ -121503,37 +121400,37 @@
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@@ -121541,14 +121438,14 @@
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@@ -121556,7 +121453,7 @@
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@@ -121574,14 +121471,14 @@
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@@ -121593,19 +121490,19 @@
"finite",
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],
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@@ -121618,12 +121515,12 @@
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@@ -121640,50 +121537,26 @@
"type": "PhysicsRevoluteJoint"
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{
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@@ -121729,7 +121602,7 @@
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@@ -121738,13 +121611,13 @@
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[
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0.0
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@@ -123686,14 +123559,14 @@
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@@ -123705,19 +123578,19 @@
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@@ -124204,17 +124077,17 @@
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@@ -126150,18 +126270,18 @@
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@@ -126185,53 +126305,86 @@
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+ "reference_joint": "all"
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+ "joints": [
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+ "reference_path": "/RootNode/Joints/joint_sm_kitchenware_kettle_a01_lid_joint_00",
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@@ -128294,18 +128827,18 @@
"aggregation": "mean per-sample appearance-property match fraction",
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@@ -128329,53 +128862,86 @@
"eligible": 2048
},
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@@ -128390,37 +128956,67 @@
{
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+ "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_button_obj_00"
},
{
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- "reference_body": "/RootNode/Geometry/sm_kitchenware_pan_j01_obj_00"
+ "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_button_obj_00"
+ },
+ {
+ "feature": "body_enabled",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_body_obj_01"
+ },
+ {
+ "feature": "body_kinematic",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_body_obj_01"
+ },
+ {
+ "feature": "body_enabled",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_lid_obj_01"
+ },
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+ "feature": "body_kinematic",
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+ "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_lid_obj_01"
+ },
+ {
+ "feature": "body_enabled",
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+ "reference_body": "/RootNode/Geometry/sm_kitchenware_kettle_a01_switch_obj_00"
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},
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@@ -128439,118 +129035,209 @@
"upper_bound_percent": 100.0
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@@ -131057,19 +131744,19 @@
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- "kinematic_fixed_constraints_percent": null,
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+ "kinematic_fixed_constraints_status": "measured",
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@@ -131077,31 +131764,31 @@
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- "fidelity_joints_candidate_count": 0,
- "inference_calls_used": 35,
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- "input_tokens": 658904,
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- "seed": 1759266335,
+ "seed": 1322110451,
"scoring_policy_id": "NVIDIA-Robotics-Prop-4.0.0-mandatory-95-plus-5-v1",
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"simready": {
@@ -131694,7 +132381,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.DISP.001",
"requirement_version": "0.1.0",
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+ "status": "fail"
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{
"category": "display_colour",
@@ -131848,7 +132535,7 @@
"mandatory": false,
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+ "status": "fail"
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{
"category": "rigid_body_collision",
@@ -131869,7 +132556,7 @@
"mandatory": false,
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"requirement_version": "0.1.0",
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+ "status": "pass"
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{
"category": "runtime_physics",
@@ -132048,10 +132735,10 @@
}
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@@ -132060,11 +132747,11 @@
"profile_optional_count": 51,
"schema": "simready-validator-optional-score-v1",
"scope": "all_optional_profile",
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- "upper_bound_percent": 74.50980392156863
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@@ -132075,7 +132762,7 @@
"mandatory": false,
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{
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@@ -132229,7 +132916,7 @@
"mandatory": false,
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{
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@@ -132250,7 +132937,7 @@
"mandatory": false,
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+ "status": "pass"
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{
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@@ -132429,10 +133116,10 @@
}
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@@ -132441,18 +133128,18 @@
"profile_optional_count": 51,
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"scope": "all_optional_profile",
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@@ -132461,13 +133148,13 @@
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[
@@ -132479,22 +133166,22 @@
"samples_each_direction": 128,
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@@ -132503,24 +133190,24 @@
},
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@@ -132539,21 +133226,21 @@
"joint_quality": "motion_credit*unwrapped_extent_credit*limit_pattern_credit, with motion_credit=1/(1+(motion_rms_m/distance_band_m)^2)",
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@@ -132575,35 +133262,35 @@
],
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},
- "status": "not_applicable",
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"PhysicsFixedJoint",
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
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@@ -132611,7 +133298,7 @@
"eligible": 2048
},
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+ "earned": 0,
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},
"physics:restitution": {
@@ -132623,93 +133310,98 @@
"eligible": 2048
},
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+ "earned": 2042,
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},
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+ "extra_bodies": 2,
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+ "candidate_body": "/FryingPan/PanBody",
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- "reference_body": "/RootNode/Geometry/sm_pallet_wood_recycled_a05_obj_00",
- "rms_m": 0.00330985996023631,
+ "recall": 0.8955078125,
+ "reference_body": "/RootNode/Geometry/sm_kitchenware_pan_j01_obj_00",
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{
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},
{
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- "reference_body": "/RootNode/Geometry/sm_pallet_wood_recycled_a05_obj_00"
+ "reference_body": "/RootNode/Geometry/sm_kitchenware_pan_j01_obj_00"
},
{
"feature": "body_kinematic",
"passed": true,
- "reference_body": "/RootNode/Geometry/sm_pallet_wood_recycled_a05_obj_00"
+ "reference_body": "/RootNode/Geometry/sm_kitchenware_pan_j01_obj_00"
}
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}
}
@@ -132728,73 +133420,85 @@
"upper_bound_percent": 100.0
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"features": {
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+ "visual:metallic": {
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},
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@@ -132813,21 +133517,21 @@
"joint_quality": "motion_credit*unwrapped_extent_credit*limit_pattern_credit, with motion_credit=1/(1+(motion_rms_m/distance_band_m)^2)",
"joints": [],
"limit_pattern_treatment": "1/(1+number of differing bound endpoint states after coordinate normalisation)",
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"schema": "source-usd-kinematics-v1",
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"range_relative": 0.05,
- "reference_diagonal_m": 1.5028248228091694,
+ "reference_diagonal_m": 0.42731463390035584,
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0.03444185374863373,
@@ -132849,21 +133553,21 @@
],
"sweep_states": 17
},
- "status": "not_applicable",
+ "status": "measured",
"supported_joint_types": [
"PhysicsFixedJoint",
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
- "upper_bound_percent": null
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}
},
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+ "aperture": 0.6236667931079865,
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+ "aligned_rms_m": 0.0012401370055895897,
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"iterations": 16,
"maximum_iterations_per_start": 8,
@@ -132872,13 +133576,13 @@
"refined_starts": 2,
"rotation": [
[
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@@ -140653,7 +141122,7 @@
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@@ -140832,10 +141301,10 @@
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@@ -140844,11 +141313,11 @@
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@@ -141034,7 +141503,7 @@
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@@ -141213,10 +141682,10 @@
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@@ -141225,18 +141694,18 @@
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@@ -141245,13 +141714,13 @@
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@@ -141263,534 +141732,81 @@
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"measurement": "sampled joint constraint transforms on common reference-body bounding-box landmarks",
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"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
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"schema": "source-usd-kinematics-v1",
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+ "reference_diagonal_m": 1.5028248228091694,
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@@ -141812,13 +141828,13 @@
],
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},
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"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
- "upper_bound_percent": 0.0
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},
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@@ -141836,11 +141852,11 @@
},
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+ "earned": 2048,
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},
"physics:density": {
@@ -141848,7 +141864,7 @@
"eligible": 2048
},
"physics:dynamicFriction": {
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+ "earned": 2048,
"eligible": 2048
},
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@@ -141860,7 +141876,7 @@
"eligible": 2048
},
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+ "earned": 2048,
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@@ -141870,202 +141886,83 @@
},
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+ "earned": 1.0,
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{
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+ "passed": true
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{
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+ "reference_body": "/RootNode/Geometry/sm_pallet_wood_recycled_a05_obj_00"
},
{
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"passed": true,
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+ "reference_body": "/RootNode/Geometry/sm_pallet_wood_recycled_a05_obj_00"
}
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@@ -142093,19 +141990,19 @@
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@@ -142133,214 +142030,57 @@
},
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0.0,
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@@ -142362,21 +142102,21 @@
],
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},
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"PhysicsFixedJoint",
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
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@@ -142385,13 +142125,13 @@
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[
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@@ -142403,23 +142143,23 @@
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@@ -142442,22 +142182,22 @@
0.0
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@@ -142468,21 +142208,21 @@
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@@ -142494,7 +142234,7 @@
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@@ -142506,147 +142246,219 @@
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+ "rig_sha256": "8a6ebdd27139f3692c6de03c34cd3085b92210dc397a1b5f800120aee89eb4a5"
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- "entrypoint": "assets/powerTool_drill_b01/reconstruction-1/candidate/asset.usd",
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- "manifest_sha256": "346c389e11753637450436245384e4e35c2576d03d49d3bca968dfeecf233b17",
+ "directory": "assets/pallet_wood_recycled_a05/reconstruction-3/candidate",
+ "entrypoint": "assets/pallet_wood_recycled_a05/reconstruction-3/candidate/asset.usd",
+ "manifest": "assets/pallet_wood_recycled_a05/reconstruction-3/candidate/manifest.json",
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+ "path": "assets/pallet_wood_recycled_a05/reconstruction-3/candidate/.thumbs/256x256/asset.usd.png",
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0.0
],
[
@@ -144137,534 +143949,81 @@
"samples_each_direction": 128,
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},
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+ "status": "not_applicable",
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}
},
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"joint_quality": "motion_credit*unwrapped_extent_credit*limit_pattern_credit, with motion_credit=1/(1+(motion_rms_m/distance_band_m)^2)",
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- "reference_path": "/RootNode/Joints/joint_button_01_joint_00",
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- "reference_joint": 5,
- "reference_path": "/RootNode/Joints/joint_battery_01_joint_00",
- "score_percent": 0.0,
- "status": "measured",
- "type": "PhysicsFixedJoint"
- }
- ],
+ "joints": [],
"limit_pattern_treatment": "1/(1+number of differing bound endpoint states after coordinate normalisation)",
- "lower_bound_percent": 0.0,
- "matched_joint_count": 3,
- "measured": 2,
+ "lower_bound_percent": null,
+ "matched_joint_count": 0,
+ "measured": 0,
"measurement": "sampled joint constraint transforms on common reference-body bounding-box landmarks",
- "missing_joint_count": 3,
+ "missing_joint_count": 0,
"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
- "reference_joint_count": 6,
+ "reference_joint_count": 0,
"schema": "source-usd-kinematics-v1",
- "score_percent": 0.0,
+ "score_percent": null,
"settings": {
- "distance_band_m": 0.004380050613427058,
+ "distance_band_m": 0.016028248228091693,
"range_absolute_degrees": 5,
"range_absolute_m": 0.005,
"range_relative": 0.05,
- "reference_diagonal_m": 0.3380050613427058,
+ "reference_diagonal_m": 1.5028248228091694,
"sweep_fractions": [
0.0,
0.03444185374863373,
@@ -144686,35 +144045,35 @@
],
"sweep_states": 17
},
- "status": "measured",
+ "status": "not_applicable",
"supported_joint_types": [
"PhysicsFixedJoint",
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
- "upper_bound_percent": 0.0
+ "upper_bound_percent": null
},
"materials": {
"appearance": {
"aggregation": "mean per-sample appearance-property match fraction",
"coverage_basis": "reference surface samples with assigned visual materials",
"coverage_fraction": 1.0,
- "earned": 1530.0,
+ "earned": 0.0,
"eligible": 2048,
- "lower_bound_percent": 74.70703125,
+ "lower_bound_percent": 0.0,
"measured": 2048,
- "score_percent": 74.70703125,
+ "score_percent": 0.0,
"status": "measured",
"unknown": 0,
- "upper_bound_percent": 74.70703125
+ "upper_bound_percent": 0.0
},
"coverage_basis": "reference area samples with supported effective material properties",
"coverage_fraction": 0.5833333333333334,
- "earned": 3914,
+ "earned": 5868,
"eligible": 14336,
"features": {
"physics:assignment": {
- "earned": 854,
+ "earned": 1956,
"eligible": 2048
},
"physics:density": {
@@ -144722,7 +144081,7 @@
"eligible": 2048
},
"physics:dynamicFriction": {
- "earned": 0,
+ "earned": 1956,
"eligible": 2048
},
"physics:restitution": {
@@ -144734,212 +144093,93 @@
"eligible": 2048
},
"visual:assignment": {
- "earned": 1530,
+ "earned": 1956,
"eligible": 2048
},
"visual:opacity": {
- "earned": 1530,
+ "earned": 0,
"eligible": 2048
}
},
"measured": 14336,
"reference_possible_fields": 24576,
- "score_percent": 27.301897321428573,
+ "score_percent": 40.931919642857146,
"status": "measured"
},
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- "earned": 3.7408187967680333,
- "eligible": 7,
- "extra_bodies": 5,
- "geometry_score_percent": 53.44026852525762,
- "measured": 7,
+ "earned": 0.9587262461802903,
+ "eligible": 1,
+ "extra_bodies": 0,
+ "geometry_score_percent": 95.87262461802904,
+ "measured": 1,
"missing_parts": 0,
"parts": [
{
- "band_m": 0.004380050613427058,
- "candidate_body": "/Drill/Battery",
- "p95_m": 0.010448654450734667,
- "precision": 0.61767578125,
- "recall": 0.74072265625,
- "reference_body": "/RootNode/Geometry/battery_01_obj_00",
- "rms_m": 0.00519288154863874,
- "samples_each_direction": 2048,
- "score_percent": 67.36262833617901
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- {
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- "precision": 0.65234375,
- "recall": 0.69775390625,
- "reference_body": "/RootNode/Geometry/body_01_obj_00",
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- "reference_body": "/RootNode/Geometry/button_02_obj_00",
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- "samples_each_direction": 2048,
- "score_percent": 76.78820037378567
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- "band_m": 0.004380050613427058,
- "candidate_body": "/Drill/TorqueCollar",
- "p95_m": 0.03503585196633894,
- "precision": 0.48583984375,
- "recall": 0.3095703125,
- "reference_body": "/RootNode/Geometry/chuck_01_obj_00",
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- "score_percent": 37.817367825352974
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- "reference_body": "/RootNode/Geometry/jaws_01_obj_00",
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- "reference_body": "/RootNode/Geometry/selector_01_obj_00",
- "rms_m": 0.006624176675546986,
+ "band_m": 0.016028248228091693,
+ "candidate_body": "/Pallet",
+ "coverage_basis": "fixed source supported-visible-prim fraction",
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+ "earned": 0.9587262461802903,
+ "eligible": 1,
+ "full_surface_correspondence": "supported_authored_surfaces",
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+ "reference_body": "/RootNode/Geometry/sm_pallet_wood_recycled_a05_obj_00",
+ "rms_m": 0.0074505730153145615,
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}
],
- "score_percent": 53.44026852525762,
+ "score_percent": 95.87262461802904,
"status": "measured",
"structure": {
"checks": [
{
"feature": "body_count",
- "passed": false
+ "passed": true
},
{
"feature": "joint_inventory_count",
- "passed": false
- },
- {
- "feature": "body_enabled",
- "passed": true,
- "reference_body": "/RootNode/Geometry/jaws_01_obj_00"
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- {
- "feature": "body_kinematic",
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- "reference_body": "/RootNode/Geometry/jaws_01_obj_00"
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- "reference_body": "/RootNode/Geometry/button_02_obj_00"
- },
- {
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- "reference_body": "/RootNode/Geometry/button_02_obj_00"
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- {
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- "reference_body": "/RootNode/Geometry/selector_01_obj_00"
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+ "kinematic_moving_joints_lower_bound_percent": 0.29190506881046785,
+ "kinematic_moving_joints_upper_bound_percent": 0.29190506881046785,
"kinematic_fixed_constraints_percent": null,
"kinematic_fixed_constraints_status": "not_applicable",
"kinematic_fixed_constraints_earned": 0,
@@ -160433,43 +167537,43 @@
"kinematic_fixed_constraints_coverage": 0,
"kinematic_fixed_constraints_lower_bound_percent": null,
"kinematic_fixed_constraints_upper_bound_percent": null,
- "fidelity_shape_earned": 0.23466524767801858,
+ "fidelity_shape_earned": 0.8838112449541599,
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"fidelity_shape_status": "measured",
- "fidelity_rigid_parts_earned": 0.23466524767801858,
- "fidelity_rigid_parts_eligible": 1,
- "fidelity_rigid_parts_measured": 1,
+ "fidelity_rigid_parts_earned": 1.7340764574054208,
+ "fidelity_rigid_parts_eligible": 2,
+ "fidelity_rigid_parts_measured": 2,
"fidelity_rigid_parts_status": "measured",
- "fidelity_joints_earned": 0,
- "fidelity_joints_eligible": 0,
- "fidelity_joints_measured": 0,
- "fidelity_joints_status": "not_applicable",
- "fidelity_materials_earned": 1323,
- "fidelity_materials_eligible": 16337,
- "fidelity_materials_measured": 16337,
+ "fidelity_joints_earned": 8,
+ "fidelity_joints_eligible": 11,
+ "fidelity_joints_measured": 11,
+ "fidelity_joints_status": "measured",
+ "fidelity_materials_earned": 2003,
+ "fidelity_materials_eligible": 14336,
+ "fidelity_materials_measured": 14336,
"fidelity_materials_status": "measured",
- "fidelity_shape_precision": 0.2578125,
- "fidelity_shape_recall": 0.21533203125,
+ "fidelity_shape_precision": 0.80615234375,
+ "fidelity_shape_recall": 0.97802734375,
"fidelity_shape_samples_each_direction": 2048,
- "fidelity_rigid_parts_geometry_percent": 23.466524767801857,
+ "fidelity_rigid_parts_geometry_percent": 86.70382287027104,
"fidelity_rigid_parts_structure_percent": 100.0,
- "fidelity_rigid_parts_structure_earned": 4,
- "fidelity_rigid_parts_structure_eligible": 4,
- "fidelity_joints_reference_count": 0,
- "fidelity_joints_candidate_count": 0,
+ "fidelity_rigid_parts_structure_earned": 6,
+ "fidelity_rigid_parts_structure_eligible": 6,
+ "fidelity_joints_reference_count": 1,
+ "fidelity_joints_candidate_count": 1,
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- "elapsed_seconds": 673.2553225662559,
- "model_request_seconds": 612.4617797210813,
- "input_tokens": 1116578,
- "output_tokens": 27075,
- "total_tokens": 1143653,
+ "elapsed_seconds": 588.9866929035634,
+ "model_request_seconds": 542.4343477673829,
+ "input_tokens": 1053333,
+ "output_tokens": 26663,
+ "total_tokens": 1079996,
"inference_cost_usd": null,
"compute_cost_usd": null,
"total_cost_usd": null,
- "seed": 1594804092,
+ "seed": 54538657,
"scoring_policy_id": "NVIDIA-Robotics-Prop-4.0.0-mandatory-95-plus-5-v1",
"official_conformance_passed": true,
"simready": {
@@ -161125,7 +168229,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.NEWTON.COL.001",
"requirement_version": "0.1.0",
- "status": "fail"
+ "status": "pass"
},
{
"category": "runtime_physics",
@@ -161216,7 +168320,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.PMT.001",
"requirement_version": "0.1.0",
- "status": "fail"
+ "status": "pass"
},
{
"category": "rigid_body_collision",
@@ -161237,7 +168341,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.RB.MB.001",
"requirement_version": "0.1.0",
- "status": "fail"
+ "status": "pass"
},
{
"category": "runtime_physics",
@@ -161321,7 +168425,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.SR.001",
"requirement_version": "0.1.0",
- "status": "fail"
+ "status": "pass"
},
{
"category": "materials_textures",
@@ -161416,10 +168520,10 @@
}
],
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- "failed_count": 15,
- "lower_bound_percent": 70.58823529411765,
+ "failed_count": 11,
+ "lower_bound_percent": 78.43137254901961,
"measured_count": 51,
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+ "passed_count": 40,
"profile": {
"id": "Robotics-Prop",
"version": "4.0.0"
@@ -161428,11 +168532,11 @@
"profile_optional_count": 51,
"schema": "simready-validator-optional-score-v1",
"scope": "all_optional_profile",
- "score_percent": 70.58823529411765,
+ "score_percent": 78.43137254901961,
"status": "scored",
"unknown_count": 0,
"unknown_reason": null,
- "upper_bound_percent": 70.58823529411765
+ "upper_bound_percent": 78.43137254901961
}
},
"optional_score": {
@@ -161506,7 +168610,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.NEWTON.COL.001",
"requirement_version": "0.1.0",
- "status": "fail"
+ "status": "pass"
},
{
"category": "runtime_physics",
@@ -161597,7 +168701,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.PMT.001",
"requirement_version": "0.1.0",
- "status": "fail"
+ "status": "pass"
},
{
"category": "rigid_body_collision",
@@ -161618,7 +168722,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.RB.MB.001",
"requirement_version": "0.1.0",
- "status": "fail"
+ "status": "pass"
},
{
"category": "runtime_physics",
@@ -161702,7 +168806,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.SR.001",
"requirement_version": "0.1.0",
- "status": "fail"
+ "status": "pass"
},
{
"category": "materials_textures",
@@ -161797,10 +168901,10 @@
}
],
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- "lower_bound_percent": 70.58823529411765,
+ "failed_count": 11,
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"measured_count": 51,
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+ "passed_count": 40,
"profile": {
"id": "Robotics-Prop",
"version": "4.0.0"
@@ -161809,18 +168913,18 @@
"profile_optional_count": 51,
"schema": "simready-validator-optional-score-v1",
"scope": "all_optional_profile",
- "score_percent": 70.58823529411765,
+ "score_percent": 78.43137254901961,
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"unknown_count": 0,
"unknown_reason": null,
- "upper_bound_percent": 70.58823529411765
+ "upper_bound_percent": 78.43137254901961
},
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"status": "measured",
"complete_geometry_comparison": true,
"alignment": {
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+ "aligned_rms_m": 0.004875737561174304,
"converged": false,
"iterations": 16,
"maximum_iterations_per_start": 8,
@@ -161829,13 +168933,13 @@
"refined_starts": 2,
"rotation": [
[
- -0.931131085669386,
- -0.3646846600834076,
+ 0.999996053918748,
+ 0.0028092965191267427,
0.0
],
[
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+ 0.999996053918748,
0.0
],
[
@@ -161847,34 +168951,90 @@
"samples_each_direction": 128,
"scale": 1.0,
"translation_m": [
- -0.010893922783580316,
- 0.025869474891200856,
- -0.00634119548454528
+ -0.00011396707229375445,
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+ -0.0005918965156450073
],
- "unaligned_rms_m": 0.06051156765837369,
- "yaw_degrees": 158.61182256073258,
+ "unaligned_rms_m": 0.004952706027467113,
+ "yaw_degrees": -0.16096104566859942,
"yaw_starts": 32
},
"components": {
"joints": {
- "candidate_joint_count": 0,
- "checks": [],
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- "earned": 0,
- "eligible": 0,
+ "candidate_joint_count": 1,
+ "checks": [
+ {
+ "feature": "existence_type_connectivity",
+ "passed": true,
+ "reference_joint": 0
+ },
+ {
+ "feature": "joint_enabled",
+ "passed": true,
+ "reference_joint": 0
+ },
+ {
+ "feature": "body0_enabled",
+ "passed": true,
+ "reference_joint": 0
+ },
+ {
+ "feature": "body0_kinematic",
+ "passed": true,
+ "reference_joint": 0
+ },
+ {
+ "feature": "body1_enabled",
+ "passed": true,
+ "reference_joint": 0
+ },
+ {
+ "feature": "body1_kinematic",
+ "passed": true,
+ "reference_joint": 0
+ },
+ {
+ "feature": "anchors",
+ "passed": false,
+ "reference_joint": 0
+ },
+ {
+ "feature": "axes",
+ "passed": true,
+ "reference_joint": 0
+ },
+ {
+ "feature": "relative_orientation",
+ "passed": false,
+ "reference_joint": 0
+ },
+ {
+ "feature": "limits",
+ "passed": false,
+ "reference_joint": 0
+ },
+ {
+ "feature": "joint_count",
+ "passed": true,
+ "reference_joint": "all"
+ }
+ ],
+ "coverage_fraction": 1.0,
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- "reference_joint_count": 0,
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- "status": "not_applicable"
+ "measured": 11,
+ "reference_joint_count": 1,
+ "reference_possible_checks": 11,
+ "score_percent": 72.72727272727273,
+ "status": "measured"
},
"kinematics": {
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- "candidate_joint_count": 0,
- "coverage_fraction": 0,
- "earned": 0,
- "eligible": 0,
+ "candidate_joint_count": 1,
+ "coverage_fraction": 1.0,
+ "earned": 0.0029190506881046786,
+ "eligible": 1,
"extra_joint_count": 0,
"finite_extent_treatment": "1/(1+(unwrapped interval extent error/(absolute range tolerance+relative tolerance*reference extent))^2)",
"groups": {
@@ -161891,37 +169051,76 @@
"upper_bound_percent": null
},
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- "status": "not_applicable",
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+ "candidate_joint_count": 1,
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+ "earned": 0.005838101376209357,
+ "eligible": 2,
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+ "measured": 2,
+ "reference_joint_count": 1,
+ "score_percent": 0.29190506881046785,
+ "status": "measured",
+ "upper_bound_percent": 0.29190506881046785
}
},
"infinite_range_probes": "one full revolution or one reference diagonal, centred at a canonical coordinate for fully unbounded motion or anchored at the finite endpoint for half-bounded motion; authored limits remain unchanged",
"joint_quality": "motion_credit*unwrapped_extent_credit*limit_pattern_credit, with motion_credit=1/(1+(motion_rms_m/distance_band_m)^2)",
- "joints": [],
+ "joints": [
+ {
+ "candidate_joint": 0,
+ "candidate_limit_pattern": [
+ "finite",
+ "finite"
+ ],
+ "candidate_path": "/CautionSign/Joints/FoldingHinge",
+ "candidate_probe_interval": [
+ 0.0,
+ 0.339157925747876
+ ],
+ "coverage_fraction": 1,
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+ "eligible": 1,
+ "limit_pattern_credit": 1.0,
+ "limit_pattern_mismatches": 0,
+ "measured": 1,
+ "motion_credit": 0.0150699850502973,
+ "motion_rms_m": 0.06767456957671267,
+ "probe_units": "radians",
+ "reason": "measured_motion",
+ "reference_joint": 0,
+ "reference_limit_pattern": [
+ "finite",
+ "finite"
+ ],
+ "reference_path": "/RootNode/Joints/joint_sm_frontpanel_a01_joint_00",
+ "reference_probe_interval": [
+ -0.3141592653589793,
+ 0.2617993877991494
+ ],
+ "score_percent": 0.29190506881046785,
+ "status": "measured",
+ "swapped_endpoints": false,
+ "type": "PhysicsRevoluteJoint",
+ "unwrapped_extent_credit": 0.1936996406009767,
+ "unwrapped_extent_error": 0.23680072741025265
+ }
+ ],
"limit_pattern_treatment": "1/(1+number of differing bound endpoint states after coordinate normalisation)",
- "lower_bound_percent": null,
- "matched_joint_count": 0,
- "measured": 0,
+ "lower_bound_percent": 0.29190506881046785,
+ "matched_joint_count": 1,
+ "measured": 1,
"measurement": "sampled joint constraint transforms on common reference-body bounding-box landmarks",
"missing_joint_count": 0,
"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
- "reference_joint_count": 0,
+ "reference_joint_count": 1,
"schema": "source-usd-kinematics-v1",
- "score_percent": null,
+ "score_percent": 0.29190506881046785,
"settings": {
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+ "distance_band_m": 0.00837103633057679,
"range_absolute_degrees": 5,
"range_absolute_m": 0.005,
"range_relative": 0.05,
- "reference_diagonal_m": 0.3987524565570119,
+ "reference_diagonal_m": 0.737103633057679,
"sweep_fractions": [
0.0,
0.03444185374863373,
@@ -161943,13 +169142,13 @@
],
"sweep_states": 17
},
- "status": "not_applicable",
+ "status": "measured",
"supported_joint_types": [
"PhysicsFixedJoint",
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
- "upper_bound_percent": null
+ "upper_bound_percent": 0.29190506881046785
},
"materials": {
"appearance": {
@@ -161966,12 +169165,12 @@
"upper_bound_percent": 0.0
},
"coverage_basis": "reference area samples with supported effective material properties",
- "coverage_fraction": 0.6647542317708334,
- "earned": 1323,
- "eligible": 16337,
+ "coverage_fraction": 0.5833333333333334,
+ "earned": 2003,
+ "eligible": 14336,
"features": {
"physics:assignment": {
- "earned": 441,
+ "earned": 0,
"eligible": 2048
},
"physics:density": {
@@ -161979,7 +169178,7 @@
"eligible": 2048
},
"physics:dynamicFriction": {
- "earned": 441,
+ "earned": 0,
"eligible": 2048
},
"physics:restitution": {
@@ -161991,52 +169190,52 @@
"eligible": 2048
},
"visual:assignment": {
- "earned": 441,
+ "earned": 2003,
"eligible": 2048
},
- "visual:diffuseColor": {
- "earned": 0,
- "eligible": 2001
- },
"visual:opacity": {
"earned": 0,
"eligible": 2048
}
},
- "measured": 16337,
+ "measured": 14336,
"reference_possible_fields": 24576,
- "score_percent": 8.098182040766359,
+ "score_percent": 13.971819196428571,
"status": "measured"
},
"rigid_parts": {
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- "earned": 0.23466524767801858,
- "eligible": 1,
+ "earned": 1.7340764574054208,
+ "eligible": 2,
"extra_bodies": 0,
- "geometry_score_percent": 23.466524767801857,
- "measured": 1,
+ "geometry_score_percent": 86.70382287027104,
+ "measured": 2,
"missing_parts": 0,
"parts": [
{
- "band_m": 0.0049875245655701195,
- "candidate_body": "/Funnel",
- "coverage_basis": "fixed source supported-visible-prim fraction",
- "coverage_fraction": 1.0,
- "earned": 0.23466524767801858,
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- "full_surface_correspondence": "supported_authored_surfaces",
- "measured": 1,
- "p95_m": 0.0315800832414367,
- "precision": 0.2578125,
- "recall": 0.21533203125,
- "reference_body": "/RootNode/Geometry/body_01_obj_00",
- "rms_m": 0.015567106893022263,
+ "band_m": 0.00837103633057679,
+ "candidate_body": "/CautionSign/FrontLeaf",
+ "p95_m": 0.013452606686330491,
+ "precision": 0.80712890625,
+ "recall": 0.94091796875,
+ "reference_body": "/RootNode/Geometry/sm_backpanel_a01_obj_00",
+ "rms_m": 0.005931335978420546,
"samples_each_direction": 2048,
- "score_percent": 23.466524767801857,
- "status": "measured"
+ "score_percent": 86.8903576728352
+ },
+ {
+ "band_m": 0.00837103633057679,
+ "candidate_body": "/CautionSign/RearLeaf",
+ "p95_m": 0.013921665863285599,
+ "precision": 0.77783203125,
+ "recall": 0.974609375,
+ "reference_body": "/RootNode/Geometry/sm_frontpanel_a01_obj_00",
+ "rms_m": 0.00714595375323956,
+ "samples_each_direction": 2048,
+ "score_percent": 86.51728806770687
}
],
- "score_percent": 23.466524767801857,
+ "score_percent": 86.70382287027104,
"status": "measured",
"structure": {
"checks": [
@@ -162051,37 +169250,47 @@
{
"feature": "body_enabled",
"passed": true,
- "reference_body": "/RootNode/Geometry/body_01_obj_00"
+ "reference_body": "/RootNode/Geometry/sm_backpanel_a01_obj_00"
},
{
"feature": "body_kinematic",
"passed": true,
- "reference_body": "/RootNode/Geometry/body_01_obj_00"
+ "reference_body": "/RootNode/Geometry/sm_backpanel_a01_obj_00"
+ },
+ {
+ "feature": "body_enabled",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/sm_frontpanel_a01_obj_00"
+ },
+ {
+ "feature": "body_kinematic",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/sm_frontpanel_a01_obj_00"
}
],
"coverage_fraction": 1,
- "earned": 4,
- "eligible": 4,
- "measured": 4,
+ "earned": 6,
+ "eligible": 6,
+ "measured": 6,
"score_percent": 100.0,
"status": "measured"
},
"treatment": "minimum of reference-body mean surface F-score and fixed rigid-structure check fraction; no cross-component weighting"
},
"shape": {
- "band_m": 0.0049875245655701195,
+ "band_m": 0.00837103633057679,
"coverage_basis": "fixed source supported-visible-prim fraction",
"coverage_fraction": 1.0,
- "earned": 0.23466524767801858,
+ "earned": 0.8838112449541599,
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- "p95_m": 0.0315800832414367,
- "precision": 0.2578125,
- "recall": 0.21533203125,
- "rms_m": 0.015567106893022263,
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- "score_percent": 23.466524767801857,
+ "score_percent": 88.38112449541599,
"status": "measured"
}
}
@@ -162109,19 +169318,19 @@
"aggregation": "geometric_mean",
"factors": {
"shape": {
- "band_m": 0.0049875245655701195,
+ "band_m": 0.00837103633057679,
"coverage_basis": "fixed source supported-visible-prim fraction",
"coverage_fraction": 1.0,
- "earned": 0.23466524767801858,
+ "earned": 0.8838112449541599,
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"full_surface_correspondence": "supported_authored_surfaces",
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- "precision": 0.2578125,
- "recall": 0.21533203125,
- "rms_m": 0.015567106893022263,
+ "p95_m": 0.013353013679739543,
+ "precision": 0.80615234375,
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"samples_each_direction": 2048,
- "score_percent": 23.466524767801857,
+ "score_percent": 88.38112449541599,
"status": "measured"
},
"appearance": {
@@ -162137,10 +169346,6 @@
"unknown": 0,
"upper_bound_percent": 0.0,
"features": {
- "visual:diffuseColor": {
- "earned": 0,
- "eligible": 2001
- },
"visual:opacity": {
"earned": 0,
"eligible": 2048
@@ -162153,10 +169358,10 @@
},
"kinematic": {
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- "candidate_joint_count": 0,
- "coverage_fraction": 0,
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+ "candidate_joint_count": 1,
+ "coverage_fraction": 1.0,
+ "earned": 0.0029190506881046786,
+ "eligible": 1,
"extra_joint_count": 0,
"finite_extent_treatment": "1/(1+(unwrapped interval extent error/(absolute range tolerance+relative tolerance*reference extent))^2)",
"groups": {
@@ -162173,37 +169378,76 @@
"upper_bound_percent": null
},
"moving_joints": {
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- "measured": 0,
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+ "candidate_joint_count": 1,
+ "coverage_fraction": 1.0,
+ "earned": 0.005838101376209357,
+ "eligible": 2,
+ "lower_bound_percent": 0.29190506881046785,
+ "measured": 2,
+ "reference_joint_count": 1,
+ "score_percent": 0.29190506881046785,
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@@ -162225,21 +169469,21 @@
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@@ -162497,10 +169753,10 @@
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@@ -162521,12 +169777,12 @@
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@@ -162540,14 +169796,14 @@
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@@ -162556,11 +169812,11 @@
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@@ -162568,31 +169824,31 @@
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@@ -163952,13 +171208,13 @@
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@@ -164072,14 +171328,14 @@
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@@ -164091,19 +171347,19 @@
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@@ -164133,7 +171389,7 @@
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@@ -164167,7 +171423,7 @@
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@@ -164185,7 +171441,7 @@
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@@ -164209,7 +171465,7 @@
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@@ -164219,42 +171475,42 @@
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@@ -164789,40 +172039,40 @@
"formal_fidelity_lower_bound_percent": 100.0,
"formal_fidelity_upper_bound_percent": 100.0,
"visual_fidelity_status": "measured",
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+ "visual_fidelity_earned": 1.8973924314759862,
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+ "visual_fidelity_lower_bound_percent": 94.86962157379931,
+ "visual_fidelity_upper_bound_percent": 94.86962157379931,
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+ "kinematic_fidelity_earned": 0.002819186293804087,
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- "kinematic_fidelity_upper_bound_percent": 0.29033369316403596,
- "visual_appearance_percent": 0.0,
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@@ -164831,11 +172081,11 @@
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@@ -164843,31 +172093,31 @@
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@@ -166218,7 +173468,7 @@
"status": "measured",
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@@ -166227,13 +173477,13 @@
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[
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[
@@ -166245,12 +173495,12 @@
"samples_each_direction": 128,
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@@ -166327,7 +173577,7 @@
"aggregation": "geometric mean of moving-joint and fixed-constraint recovery, each 2*sum(quality)/(reference_count+candidate_count)",
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@@ -166347,14 +173597,14 @@
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@@ -166366,19 +173616,19 @@
"finite",
"finite"
],
- "candidate_path": "/CautionSign/Joints/TopFoldingHinge",
+ "candidate_path": "/CautionSign/FoldingHinge",
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@@ -166391,16 +173641,16 @@
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0.2617993877991494
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"type": "PhysicsRevoluteJoint",
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@@ -166408,7 +173658,7 @@
"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
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"schema": "source-usd-kinematics-v1",
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@@ -166442,25 +173692,25 @@
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
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+ "upper_bound_percent": 0.2819186293804087
},
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@@ -166484,52 +173734,52 @@
"eligible": 2048
},
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+ "earned": 1987,
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},
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}
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+ "candidate_body": "/CautionSign/FrontLeaf",
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"reference_body": "/RootNode/Geometry/sm_backpanel_a01_obj_00",
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@@ -166575,16 +173825,16 @@
"band_m": 0.00837103633057679,
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}
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@@ -166603,9 +173853,9 @@
"upper_bound_percent": 100.0
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@@ -166615,46 +173865,46 @@
"band_m": 0.00837103633057679,
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}
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},
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@@ -166674,14 +173924,14 @@
"moving_joints": {
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@@ -166693,19 +173943,19 @@
"finite",
"finite"
],
- "candidate_path": "/CautionSign/Joints/TopFoldingHinge",
+ "candidate_path": "/CautionSign/FoldingHinge",
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+ "motion_credit": 0.014951465418414127,
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"probe_units": "radians",
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@@ -166718,16 +173968,16 @@
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0.2617993877991494
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"type": "PhysicsRevoluteJoint",
- "unwrapped_extent_credit": 0.1982635678922014,
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"measurement": "sampled joint constraint transforms on common reference-body bounding-box landmarks",
@@ -166735,7 +173985,7 @@
"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
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"schema": "source-usd-kinematics-v1",
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+ "score_percent": 0.2819186293804087,
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"range_absolute_degrees": 5,
@@ -166769,7 +174019,7 @@
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
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+ "upper_bound_percent": 0.2819186293804087
}
},
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@@ -166777,7 +174027,7 @@
"aperture": 1.0561486780643463,
"basis": "reference bounds in metres/Z-up",
"candidate_alignment": {
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"iterations": 16,
"maximum_iterations_per_start": 8,
@@ -166786,13 +174036,13 @@
"refined_starts": 2,
"rotation": [
[
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+ 0.999999705146543,
+ 0.0007679237117593051,
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[
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[
@@ -166804,12 +174054,12 @@
"samples_each_direction": 128,
"scale": 1.0,
"translation_m": [
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- -0.0007326401252075168,
- 0.00024710613701622863
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+ "unaligned_rms_m": 0.0038820781462723703,
+ "yaw_degrees": -0.04399879199622766,
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"center": [
@@ -166921,109 +174171,109 @@
},
"width": 384
},
- "rig_sha256": "4d8688fff9f0512c33973df5e012e789d4707e4c8215f0d5417d86e76907a846"
+ "rig_sha256": "dfddb5bc9e42166a3c7e8375248e1848066ac8a57934b8748999c977c9274b45"
},
"candidate": {
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"schema": "simready-bench-portable-candidate-v1",
- "directory": "assets/sign_wetFloor_a01/reconstruction-2/candidate",
- "entrypoint": "assets/sign_wetFloor_a01/reconstruction-2/candidate/asset.usd",
- "manifest": "assets/sign_wetFloor_a01/reconstruction-2/candidate/manifest.json",
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- "seed": 2019141112,
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@@ -170756,7 +178006,7 @@
"status": "measured",
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@@ -170765,13 +178015,13 @@
"refined_starts": 2,
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[
@@ -170783,176 +178033,81 @@
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@@ -170980,29 +178135,29 @@
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
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},
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},
"physics:density": {
@@ -171022,107 +178177,86 @@
"eligible": 2048
},
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{
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},
{
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- {
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- "reference_body": "/RootNode/Geometry/sm_backpanel_a01_obj_00"
+ "passed": false
},
{
"feature": "body_enabled",
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- "reference_body": "/RootNode/Geometry/sm_frontpanel_a01_obj_00"
+ "reference_body": "/RootNode/Geometry/body_01_obj_00"
},
{
"feature": "body_kinematic",
"passed": true,
- "reference_body": "/RootNode/Geometry/sm_frontpanel_a01_obj_00"
+ "reference_body": "/RootNode/Geometry/body_01_obj_00"
}
],
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"treatment": "minimum of reference-body mean surface F-score and fixed rigid-structure check fraction; no cross-component weighting"
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}
}
@@ -171141,145 +178275,106 @@
"upper_bound_percent": 100.0
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@@ -173161,18 +180056,18 @@
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@@ -173294,9 +180189,9 @@
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- "fidelity_joints_percent": null,
- "fidelity_materials_percent": 23.744419642857142,
+ "fidelity_shape_percent": 92.00161637931035,
+ "fidelity_rigid_parts_percent": 39.325464741139484,
+ "fidelity_joints_percent": 0.0,
+ "fidelity_materials_percent": 29.560893964753372,
"fidelity_shape_coverage": 1.0,
"fidelity_rigid_parts_coverage": 1.0,
- "fidelity_joints_coverage": 0,
- "fidelity_materials_coverage": 0.5833333333333334,
+ "fidelity_joints_coverage": 1.0,
+ "fidelity_materials_coverage": 0.8265787760416666,
"fidelity_reference_geometry_status": "complete",
"formal_fidelity_status": "measured",
"formal_fidelity_earned": 46,
@@ -177338,12 +184427,12 @@
"formal_fidelity_lower_bound_percent": 100.0,
"formal_fidelity_upper_bound_percent": 100.0,
"visual_fidelity_status": "measured",
- "visual_fidelity_earned": 1.6093974525662176,
+ "visual_fidelity_earned": 0.9786476392252628,
"visual_fidelity_eligible": 2,
"visual_fidelity_measured": 2,
"visual_fidelity_coverage": 1.0,
- "visual_fidelity_lower_bound_percent": 80.46987262831088,
- "visual_fidelity_upper_bound_percent": 80.46987262831088,
+ "visual_fidelity_lower_bound_percent": 48.93238196126314,
+ "visual_fidelity_upper_bound_percent": 48.93238196126314,
"kinematic_fidelity_status": "measured",
"kinematic_fidelity_earned": 0.0,
"kinematic_fidelity_eligible": 2,
@@ -177351,72 +184440,72 @@
"kinematic_fidelity_coverage": 1.0,
"kinematic_fidelity_lower_bound_percent": 0.0,
"kinematic_fidelity_upper_bound_percent": 0.0,
- "visual_appearance_percent": 83.10546875,
+ "visual_appearance_percent": 26.025390625,
"visual_appearance_status": "measured",
- "visual_appearance_earned": 1702.0,
+ "visual_appearance_earned": 533.0,
"visual_appearance_eligible": 2048,
"visual_appearance_measured": 2048,
"visual_appearance_coverage": 1.0,
- "visual_appearance_lower_bound_percent": 83.10546875,
- "visual_appearance_upper_bound_percent": 83.10546875,
- "kinematic_reference_joint_count": 0,
- "kinematic_candidate_joint_count": 2,
+ "visual_appearance_lower_bound_percent": 26.025390625,
+ "visual_appearance_upper_bound_percent": 26.025390625,
+ "kinematic_reference_joint_count": 3,
+ "kinematic_candidate_joint_count": 5,
"kinematic_matched_joint_count": 0,
- "kinematic_missing_joint_count": 0,
- "kinematic_extra_joint_count": 2,
+ "kinematic_missing_joint_count": 3,
+ "kinematic_extra_joint_count": 5,
"kinematic_moving_joints_percent": 0.0,
"kinematic_moving_joints_status": "measured",
- "kinematic_moving_joints_earned": 0,
- "kinematic_moving_joints_eligible": 1,
- "kinematic_moving_joints_measured": 1,
+ "kinematic_moving_joints_earned": 0.0,
+ "kinematic_moving_joints_eligible": 5,
+ "kinematic_moving_joints_measured": 5,
"kinematic_moving_joints_coverage": 1.0,
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"kinematic_fixed_constraints_status": "measured",
- "kinematic_fixed_constraints_earned": 0,
- "kinematic_fixed_constraints_eligible": 1,
- "kinematic_fixed_constraints_measured": 1,
+ "kinematic_fixed_constraints_earned": 0.0,
+ "kinematic_fixed_constraints_eligible": 3,
+ "kinematic_fixed_constraints_measured": 3,
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"kinematic_fixed_constraints_upper_bound_percent": 0.0,
- "fidelity_shape_earned": 0.7791786146223472,
+ "fidelity_shape_earned": 0.9200161637931035,
"fidelity_shape_eligible": 1,
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"fidelity_shape_status": "measured",
- "fidelity_rigid_parts_earned": 0.5,
- "fidelity_rigid_parts_eligible": 1,
- "fidelity_rigid_parts_measured": 1,
+ "fidelity_rigid_parts_earned": 1.5730185896455793,
+ "fidelity_rigid_parts_eligible": 4,
+ "fidelity_rigid_parts_measured": 4,
"fidelity_rigid_parts_status": "measured",
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- "fidelity_joints_eligible": 0,
- "fidelity_joints_measured": 0,
- "fidelity_joints_status": "not_applicable",
- "fidelity_materials_earned": 3404,
- "fidelity_materials_eligible": 14336,
- "fidelity_materials_measured": 14336,
+ "fidelity_joints_eligible": 29,
+ "fidelity_joints_measured": 29,
+ "fidelity_joints_status": "measured",
+ "fidelity_materials_earned": 6005,
+ "fidelity_materials_eligible": 20314,
+ "fidelity_materials_measured": 20314,
"fidelity_materials_status": "measured",
- "fidelity_shape_precision": 0.7333984375,
- "fidelity_shape_recall": 0.8310546875,
+ "fidelity_shape_precision": 0.9013671875,
+ "fidelity_shape_recall": 0.939453125,
"fidelity_shape_samples_each_direction": 2048,
- "fidelity_rigid_parts_geometry_percent": 57.842163640115565,
- "fidelity_rigid_parts_structure_percent": 50.0,
- "fidelity_rigid_parts_structure_earned": 2,
- "fidelity_rigid_parts_structure_eligible": 4,
- "fidelity_joints_reference_count": 0,
- "fidelity_joints_candidate_count": 2,
- "inference_calls_used": 31,
+ "fidelity_rigid_parts_geometry_percent": 39.325464741139484,
+ "fidelity_rigid_parts_structure_percent": 80.0,
+ "fidelity_rigid_parts_structure_earned": 8,
+ "fidelity_rigid_parts_structure_eligible": 10,
+ "fidelity_joints_reference_count": 3,
+ "fidelity_joints_candidate_count": 5,
+ "inference_calls_used": 38,
"validation_calls_used": 3,
"model_request_errors": 0,
- "elapsed_seconds": 633.4088642336428,
- "model_request_seconds": 542.7019485458732,
- "input_tokens": 885217,
- "output_tokens": 26670,
- "total_tokens": 911887,
+ "elapsed_seconds": 630.2692334409803,
+ "model_request_seconds": 589.6100615784526,
+ "input_tokens": 1013307,
+ "output_tokens": 28172,
+ "total_tokens": 1041479,
"inference_cost_usd": null,
"compute_cost_usd": null,
"total_cost_usd": null,
- "seed": 947569520,
+ "seed": 1749051141,
"scoring_policy_id": "NVIDIA-Robotics-Prop-4.0.0-mandatory-95-plus-5-v1",
"official_conformance_passed": true,
"simready": {
@@ -178767,7 +185856,7 @@
"status": "measured",
"complete_geometry_comparison": true,
"alignment": {
- "aligned_rms_m": 0.009893014097315913,
+ "aligned_rms_m": 0.0072238171476308646,
"converged": false,
"iterations": 16,
"maximum_iterations_per_start": 8,
@@ -178776,13 +185865,13 @@
"refined_starts": 2,
"rotation": [
[
- 0.8381619070892967,
- -0.5454215044389368,
+ 0.9999200332606908,
+ -0.012646228051832771,
0.0
],
[
- 0.5454215044389368,
- 0.8381619070892967,
+ 0.012646228051832771,
+ 0.9999200332606908,
0.0
],
[
@@ -178794,57 +185883,203 @@
"samples_each_direction": 128,
"scale": 1.0,
"translation_m": [
- 0.008346949400799051,
- -0.02043359889350903,
- -0.005715763725649303
+ -0.00021955813001269236,
+ -0.0005771554062696288,
+ -0.008557046655041423
],
- "unaligned_rms_m": 0.018662138339253235,
- "yaw_degrees": 33.053472476233004,
+ "unaligned_rms_m": 0.008412611192781519,
+ "yaw_degrees": 0.7245948087276617,
"yaw_starts": 32
},
"components": {
"joints": {
- "candidate_joint_count": 2,
- "checks": [],
- "coverage_fraction": 0,
+ "candidate_joint_count": 5,
+ "checks": [
+ {
+ "feature": "existence_type_connectivity",
+ "passed": false,
+ "reference_joint": 0
+ },
+ {
+ "feature": "joint_enabled",
+ "passed": false,
+ "reference_joint": 0
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+ {
+ "feature": "body0_enabled",
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+ "reference_joint": 0
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+ {
+ "feature": "body0_kinematic",
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+ "reference_joint": 0
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+ {
+ "feature": "body1_enabled",
+ "passed": false,
+ "reference_joint": 0
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+ {
+ "feature": "body1_kinematic",
+ "passed": false,
+ "reference_joint": 0
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+ {
+ "feature": "anchors",
+ "passed": false,
+ "reference_joint": 0
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+ {
+ "feature": "axes",
+ "passed": false,
+ "reference_joint": 0
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+ {
+ "feature": "relative_orientation",
+ "passed": false,
+ "reference_joint": 0
+ },
+ {
+ "feature": "limits",
+ "passed": false,
+ "reference_joint": 0
+ },
+ {
+ "feature": "existence_type_connectivity",
+ "passed": false,
+ "reference_joint": 1
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+ {
+ "feature": "joint_enabled",
+ "passed": false,
+ "reference_joint": 1
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+ {
+ "feature": "body0_enabled",
+ "passed": false,
+ "reference_joint": 1
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+ {
+ "feature": "body0_kinematic",
+ "passed": false,
+ "reference_joint": 1
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+ {
+ "feature": "body1_enabled",
+ "passed": false,
+ "reference_joint": 1
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+ {
+ "feature": "body1_kinematic",
+ "passed": false,
+ "reference_joint": 1
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+ {
+ "feature": "anchors",
+ "passed": false,
+ "reference_joint": 1
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+ {
+ "feature": "axes",
+ "passed": false,
+ "reference_joint": 1
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+ {
+ "feature": "relative_orientation",
+ "passed": false,
+ "reference_joint": 1
+ },
+ {
+ "feature": "limits",
+ "passed": false,
+ "reference_joint": 1
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+ {
+ "feature": "existence_type_connectivity",
+ "passed": false,
+ "reference_joint": 2
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+ {
+ "feature": "joint_enabled",
+ "passed": false,
+ "reference_joint": 2
+ },
+ {
+ "feature": "body0_enabled",
+ "passed": false,
+ "reference_joint": 2
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+ {
+ "feature": "body0_kinematic",
+ "passed": false,
+ "reference_joint": 2
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+ {
+ "feature": "body1_enabled",
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+ "reference_joint": 2
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+ {
+ "feature": "body1_kinematic",
+ "passed": false,
+ "reference_joint": 2
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+ {
+ "feature": "anchors",
+ "passed": false,
+ "reference_joint": 2
+ },
+ {
+ "feature": "relative_orientation",
+ "passed": false,
+ "reference_joint": 2
+ },
+ {
+ "feature": "joint_count",
+ "passed": false,
+ "reference_joint": "all"
+ }
+ ],
+ "coverage_fraction": 1.0,
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+ "eligible": 29,
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- "reference_joint_count": 0,
- "reference_possible_checks": 0,
- "score_percent": null,
- "status": "not_applicable"
+ "measured": 29,
+ "reference_joint_count": 3,
+ "reference_possible_checks": 29,
+ "score_percent": 0.0,
+ "status": "measured"
},
"kinematics": {
"aggregation": "geometric mean of moving-joint and fixed-constraint recovery, each 2*sum(quality)/(reference_count+candidate_count)",
- "candidate_joint_count": 2,
+ "candidate_joint_count": 5,
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"eligible": 2,
- "extra_joint_count": 2,
+ "extra_joint_count": 5,
"finite_extent_treatment": "1/(1+(unwrapped interval extent error/(absolute range tolerance+relative tolerance*reference extent))^2)",
"groups": {
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- "candidate_joint_count": 1,
+ "candidate_joint_count": 2,
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+ "earned": 0.0,
+ "eligible": 3,
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"score_percent": 0.0,
"status": "measured",
"upper_bound_percent": 0.0
},
"moving_joints": {
- "candidate_joint_count": 1,
+ "candidate_joint_count": 3,
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+ "eligible": 5,
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+ "measured": 5,
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"score_percent": 0.0,
"status": "measured",
"upper_bound_percent": 0.0
@@ -178852,23 +186087,66 @@
},
"infinite_range_probes": "one full revolution or one reference diagonal, centred at a canonical coordinate for fully unbounded motion or anchored at the finite endpoint for half-bounded motion; authored limits remain unchanged",
"joint_quality": "motion_credit*unwrapped_extent_credit*limit_pattern_credit, with motion_credit=1/(1+(motion_rms_m/distance_band_m)^2)",
- "joints": [],
+ "joints": [
+ {
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+ "coverage_fraction": 1,
+ "earned": 0.0,
+ "eligible": 1,
+ "measured": 1,
+ "motion_rms_m": null,
+ "reason": "missing_joint",
+ "reference_joint": 0,
+ "reference_path": "/RootNode/Joints/joint_handle_01_joint_00",
+ "score_percent": 0.0,
+ "status": "measured",
+ "type": "PhysicsRevoluteJoint"
+ },
+ {
+ "candidate_joint": null,
+ "coverage_fraction": 1,
+ "earned": 0.0,
+ "eligible": 1,
+ "measured": 1,
+ "motion_rms_m": null,
+ "reason": "missing_joint",
+ "reference_joint": 1,
+ "reference_path": "/RootNode/Joints/joint_pin_01_joint_00",
+ "score_percent": 0.0,
+ "status": "measured",
+ "type": "PhysicsPrismaticJoint"
+ },
+ {
+ "candidate_joint": null,
+ "coverage_fraction": 1,
+ "earned": 0.0,
+ "eligible": 1,
+ "measured": 1,
+ "motion_rms_m": null,
+ "reason": "missing_joint",
+ "reference_joint": 2,
+ "reference_path": "/RootNode/Joints/joint_glass_01_joint_00",
+ "score_percent": 0.0,
+ "status": "measured",
+ "type": "PhysicsFixedJoint"
+ }
+ ],
"limit_pattern_treatment": "1/(1+number of differing bound endpoint states after coordinate normalisation)",
"lower_bound_percent": 0.0,
"matched_joint_count": 0,
"measured": 2,
"measurement": "sampled joint constraint transforms on common reference-body bounding-box landmarks",
- "missing_joint_count": 0,
+ "missing_joint_count": 3,
"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
- "reference_joint_count": 0,
+ "reference_joint_count": 3,
"schema": "source-usd-kinematics-v1",
"score_percent": 0.0,
"settings": {
- "distance_band_m": 0.009502497843295162,
+ "distance_band_m": 0.009395081494733112,
"range_absolute_degrees": 5,
"range_absolute_m": 0.005,
"range_relative": 0.05,
- "reference_diagonal_m": 0.8502497843295161,
+ "reference_diagonal_m": 0.839508149473311,
"sweep_fractions": [
0.0,
0.03444185374863373,
@@ -178903,22 +186181,22 @@
"aggregation": "mean per-sample appearance-property match fraction",
"coverage_basis": "reference surface samples with assigned visual materials",
"coverage_fraction": 1.0,
- "earned": 1702.0,
+ "earned": 533.0,
"eligible": 2048,
- "lower_bound_percent": 83.10546875,
+ "lower_bound_percent": 26.025390625,
"measured": 2048,
- "score_percent": 83.10546875,
+ "score_percent": 26.025390625,
"status": "measured",
"unknown": 0,
- "upper_bound_percent": 83.10546875
+ "upper_bound_percent": 26.025390625
},
"coverage_basis": "reference area samples with supported effective material properties",
- "coverage_fraction": 0.5833333333333334,
- "earned": 3404,
- "eligible": 14336,
+ "coverage_fraction": 0.8265787760416666,
+ "earned": 6005,
+ "eligible": 20314,
"features": {
"physics:assignment": {
- "earned": 0,
+ "earned": 1924,
"eligible": 2048
},
"physics:density": {
@@ -178930,7 +186208,7 @@
"eligible": 2048
},
"physics:restitution": {
- "earned": 0,
+ "earned": 93,
"eligible": 2048
},
"physics:staticFriction": {
@@ -178938,41 +186216,86 @@
"eligible": 2048
},
"visual:assignment": {
- "earned": 1702,
+ "earned": 1924,
"eligible": 2048
},
+ "visual:diffuseColor": {
+ "earned": 48,
+ "eligible": 2048
+ },
+ "visual:metallic": {
+ "earned": 26,
+ "eligible": 1965
+ },
"visual:opacity": {
- "earned": 1702,
+ "earned": 1920,
"eligible": 2048
+ },
+ "visual:roughness": {
+ "earned": 70,
+ "eligible": 1965
}
},
- "measured": 14336,
+ "measured": 20314,
"reference_possible_fields": 24576,
- "score_percent": 23.744419642857142,
+ "score_percent": 29.560893964753372,
"status": "measured"
},
"rigid_parts": {
"coverage_fraction": 1.0,
- "earned": 0.5,
- "eligible": 1,
+ "earned": 1.5730185896455793,
+ "eligible": 4,
"extra_bodies": 2,
- "geometry_score_percent": 57.842163640115565,
- "measured": 1,
+ "geometry_score_percent": 39.325464741139484,
+ "measured": 4,
"missing_parts": 0,
"parts": [
{
- "band_m": 0.009502497843295162,
- "candidate_body": "/Coilover/DamperBody",
- "p95_m": 0.06823185282511583,
- "precision": 0.6796875,
- "recall": 0.50341796875,
+ "band_m": 0.009395081494733112,
+ "candidate_body": "/FireExtinguisher/Tank",
+ "p95_m": 0.03804949473373737,
+ "precision": 0.93359375,
+ "recall": 0.85791015625,
"reference_body": "/RootNode/Geometry/body_01_obj_00",
- "rms_m": 0.02480847615272188,
+ "rms_m": 0.013790046152113076,
"samples_each_direction": 2048,
- "score_percent": 57.842163640115565
+ "score_percent": 89.41532944944126
+ },
+ {
+ "band_m": 0.009395081494733112,
+ "candidate_body": "/FireExtinguisher/PullRing",
+ "p95_m": 0.04348188737236364,
+ "precision": 0.0,
+ "recall": 0.0,
+ "reference_body": "/RootNode/Geometry/glass_01_obj_00",
+ "rms_m": 0.03292893426114202,
+ "samples_each_direction": 2048,
+ "score_percent": 0.0
+ },
+ {
+ "band_m": 0.009395081494733112,
+ "candidate_body": "/FireExtinguisher/SqueezeLever",
+ "p95_m": 0.019459052612357215,
+ "precision": 0.60107421875,
+ "recall": 0.77978515625,
+ "reference_body": "/RootNode/Geometry/handle_01_obj_00",
+ "rms_m": 0.009483254701706467,
+ "samples_each_direction": 2048,
+ "score_percent": 67.88652951511669
+ },
+ {
+ "band_m": 0.009395081494733112,
+ "candidate_body": "/FireExtinguisher/SafetyPin",
+ "p95_m": 0.040210799366000395,
+ "precision": 0.0,
+ "recall": 0.0,
+ "reference_body": "/RootNode/Geometry/pin_01_obj_00",
+ "rms_m": 0.03638672386139809,
+ "samples_each_direction": 2048,
+ "score_percent": 0.0
}
],
- "score_percent": 50.0,
+ "score_percent": 39.325464741139484,
"status": "measured",
"structure": {
"checks": [
@@ -178984,6 +186307,16 @@
"feature": "joint_inventory_count",
"passed": false
},
+ {
+ "feature": "body_enabled",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/glass_01_obj_00"
+ },
+ {
+ "feature": "body_kinematic",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/glass_01_obj_00"
+ },
{
"feature": "body_enabled",
"passed": true,
@@ -178993,31 +186326,51 @@
"feature": "body_kinematic",
"passed": true,
"reference_body": "/RootNode/Geometry/body_01_obj_00"
+ },
+ {
+ "feature": "body_enabled",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/handle_01_obj_00"
+ },
+ {
+ "feature": "body_kinematic",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/handle_01_obj_00"
+ },
+ {
+ "feature": "body_enabled",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/pin_01_obj_00"
+ },
+ {
+ "feature": "body_kinematic",
+ "passed": true,
+ "reference_body": "/RootNode/Geometry/pin_01_obj_00"
}
],
"coverage_fraction": 1,
- "earned": 2,
- "eligible": 4,
- "measured": 4,
- "score_percent": 50.0,
+ "earned": 8,
+ "eligible": 10,
+ "measured": 10,
+ "score_percent": 80.0,
"status": "measured"
},
"treatment": "minimum of reference-body mean surface F-score and fixed rigid-structure check fraction; no cross-component weighting"
},
"shape": {
- "band_m": 0.009502497843295162,
+ "band_m": 0.009395081494733112,
"coverage_basis": "fixed source supported-visible-prim fraction",
"coverage_fraction": 1.0,
- "earned": 0.7791786146223472,
+ "earned": 0.9200161637931035,
"eligible": 1,
"full_surface_correspondence": "supported_authored_surfaces",
"measured": 1,
- "p95_m": 0.01812927762786567,
- "precision": 0.7333984375,
- "recall": 0.8310546875,
- "rms_m": 0.009995824497532738,
+ "p95_m": 0.012739495482556495,
+ "precision": 0.9013671875,
+ "recall": 0.939453125,
+ "rms_m": 0.006595627103925106,
"samples_each_direction": 2048,
- "score_percent": 77.91786146223471,
+ "score_percent": 92.00161637931035,
"status": "measured"
}
}
@@ -179036,82 +186389,94 @@
"upper_bound_percent": 100.0
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"kinematic_fidelity_lower_bound_percent": 0.0,
"kinematic_fidelity_upper_bound_percent": 0.0,
- "visual_appearance_percent": 26.025390625,
+ "visual_appearance_percent": 2.24609375,
"visual_appearance_status": "measured",
- "visual_appearance_earned": 533.0,
+ "visual_appearance_earned": 46.0,
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"visual_appearance_coverage": 1.0,
- "visual_appearance_lower_bound_percent": 26.025390625,
- "visual_appearance_upper_bound_percent": 26.025390625,
+ "visual_appearance_lower_bound_percent": 2.24609375,
+ "visual_appearance_upper_bound_percent": 2.24609375,
"kinematic_reference_joint_count": 3,
"kinematic_candidate_joint_count": 5,
- "kinematic_matched_joint_count": 0,
- "kinematic_missing_joint_count": 3,
- "kinematic_extra_joint_count": 5,
- "kinematic_moving_joints_percent": 0.0,
+ "kinematic_matched_joint_count": 2,
+ "kinematic_missing_joint_count": 1,
+ "kinematic_extra_joint_count": 3,
+ "kinematic_moving_joints_percent": 0.5634393334049341,
"kinematic_moving_joints_status": "measured",
- "kinematic_moving_joints_earned": 0.0,
+ "kinematic_moving_joints_earned": 0.028171966670246705,
"kinematic_moving_joints_eligible": 5,
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"kinematic_moving_joints_coverage": 1.0,
- "kinematic_moving_joints_lower_bound_percent": 0.0,
- "kinematic_moving_joints_upper_bound_percent": 0.0,
+ "kinematic_moving_joints_lower_bound_percent": 0.5634393334049341,
+ "kinematic_moving_joints_upper_bound_percent": 0.5634393334049341,
"kinematic_fixed_constraints_percent": 0.0,
"kinematic_fixed_constraints_status": "measured",
"kinematic_fixed_constraints_earned": 0.0,
@@ -179488,43 +186920,43 @@
"kinematic_fixed_constraints_coverage": 1.0,
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"kinematic_fixed_constraints_upper_bound_percent": 0.0,
- "fidelity_shape_earned": 0.9200161637931035,
+ "fidelity_shape_earned": 0.841593412769784,
"fidelity_shape_eligible": 1,
"fidelity_shape_measured": 1,
"fidelity_shape_status": "measured",
- "fidelity_rigid_parts_earned": 1.5730185896455793,
+ "fidelity_rigid_parts_earned": 1.6314861821907007,
"fidelity_rigid_parts_eligible": 4,
"fidelity_rigid_parts_measured": 4,
"fidelity_rigid_parts_status": "measured",
- "fidelity_joints_earned": 0,
+ "fidelity_joints_earned": 16,
"fidelity_joints_eligible": 29,
"fidelity_joints_measured": 29,
"fidelity_joints_status": "measured",
- "fidelity_materials_earned": 6005,
+ "fidelity_materials_earned": 2054,
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"fidelity_materials_measured": 20314,
"fidelity_materials_status": "measured",
- "fidelity_shape_precision": 0.9013671875,
- "fidelity_shape_recall": 0.939453125,
+ "fidelity_shape_precision": 0.7724609375,
+ "fidelity_shape_recall": 0.92431640625,
"fidelity_shape_samples_each_direction": 2048,
- "fidelity_rigid_parts_geometry_percent": 39.325464741139484,
+ "fidelity_rigid_parts_geometry_percent": 40.78715455476752,
"fidelity_rigid_parts_structure_percent": 80.0,
"fidelity_rigid_parts_structure_earned": 8,
"fidelity_rigid_parts_structure_eligible": 10,
"fidelity_joints_reference_count": 3,
"fidelity_joints_candidate_count": 5,
- "inference_calls_used": 38,
+ "inference_calls_used": 37,
"validation_calls_used": 3,
"model_request_errors": 0,
- "elapsed_seconds": 630.2692334409803,
- "model_request_seconds": 589.6100615784526,
- "input_tokens": 1013307,
- "output_tokens": 28172,
- "total_tokens": 1041479,
+ "elapsed_seconds": 665.8583281431347,
+ "model_request_seconds": 621.9069976042956,
+ "input_tokens": 976539,
+ "output_tokens": 28165,
+ "total_tokens": 1004704,
"inference_cost_usd": null,
"compute_cost_usd": null,
"total_cost_usd": null,
- "seed": 1749051141,
+ "seed": 1851420615,
"scoring_policy_id": "NVIDIA-Robotics-Prop-4.0.0-mandatory-95-plus-5-v1",
"official_conformance_passed": true,
"simready": {
@@ -180117,7 +187549,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.DISP.001",
"requirement_version": "0.1.0",
- "status": "pass"
+ "status": "fail"
},
{
"category": "display_colour",
@@ -180271,7 +187703,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.PMT.001",
"requirement_version": "0.1.0",
- "status": "pass"
+ "status": "fail"
},
{
"category": "rigid_body_collision",
@@ -180383,7 +187815,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.VM.BIND.002",
"requirement_version": "0.1.0",
- "status": "pass"
+ "status": "fail"
},
{
"category": "materials_textures",
@@ -180418,7 +187850,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.VM.PBR.003",
"requirement_version": "0.1.0",
- "status": "pass"
+ "status": "fail"
},
{
"category": "materials_textures",
@@ -180471,10 +187903,10 @@
}
],
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- "failed_count": 12,
- "lower_bound_percent": 76.47058823529412,
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+ "lower_bound_percent": 68.62745098039215,
"measured_count": 51,
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+ "passed_count": 35,
"profile": {
"id": "Robotics-Prop",
"version": "4.0.0"
@@ -180483,11 +187915,11 @@
"profile_optional_count": 51,
"schema": "simready-validator-optional-score-v1",
"scope": "all_optional_profile",
- "score_percent": 76.47058823529412,
+ "score_percent": 68.62745098039215,
"status": "scored",
"unknown_count": 0,
"unknown_reason": null,
- "upper_bound_percent": 76.47058823529412
+ "upper_bound_percent": 68.62745098039215
}
},
"optional_score": {
@@ -180498,7 +187930,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.DISP.001",
"requirement_version": "0.1.0",
- "status": "pass"
+ "status": "fail"
},
{
"category": "display_colour",
@@ -180652,7 +188084,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.PMT.001",
"requirement_version": "0.1.0",
- "status": "pass"
+ "status": "fail"
},
{
"category": "rigid_body_collision",
@@ -180764,7 +188196,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.VM.BIND.002",
"requirement_version": "0.1.0",
- "status": "pass"
+ "status": "fail"
},
{
"category": "materials_textures",
@@ -180799,7 +188231,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.VM.PBR.003",
"requirement_version": "0.1.0",
- "status": "pass"
+ "status": "fail"
},
{
"category": "materials_textures",
@@ -180852,10 +188284,10 @@
}
],
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- "failed_count": 12,
- "lower_bound_percent": 76.47058823529412,
+ "failed_count": 16,
+ "lower_bound_percent": 68.62745098039215,
"measured_count": 51,
- "passed_count": 39,
+ "passed_count": 35,
"profile": {
"id": "Robotics-Prop",
"version": "4.0.0"
@@ -180864,18 +188296,18 @@
"profile_optional_count": 51,
"schema": "simready-validator-optional-score-v1",
"scope": "all_optional_profile",
- "score_percent": 76.47058823529412,
+ "score_percent": 68.62745098039215,
"status": "scored",
"unknown_count": 0,
"unknown_reason": null,
- "upper_bound_percent": 76.47058823529412
+ "upper_bound_percent": 68.62745098039215
},
"fidelity": {
"schema": "source-usd-fidelity-v4",
"status": "measured",
"complete_geometry_comparison": true,
"alignment": {
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+ "aligned_rms_m": 0.011751625167678414,
"converged": false,
"iterations": 16,
"maximum_iterations_per_start": 8,
@@ -180884,13 +188316,13 @@
"refined_starts": 2,
"rotation": [
[
- 0.9999200332606908,
- -0.012646228051832771,
+ 0.999941168467005,
+ -0.010847101218330546,
0.0
],
[
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0.0
],
[
@@ -180902,12 +188334,12 @@
"samples_each_direction": 128,
"scale": 1.0,
"translation_m": [
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- -0.0005771554062696288,
- -0.008557046655041423
+ -0.0006530386516661536,
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],
- "unaligned_rms_m": 0.008412611192781519,
- "yaw_degrees": 0.7245948087276617,
+ "unaligned_rms_m": 0.012061579075064171,
+ "yaw_degrees": 0.6215053078460321,
"yaw_starts": 32
},
"components": {
@@ -180916,32 +188348,32 @@
"checks": [
{
"feature": "existence_type_connectivity",
- "passed": false,
+ "passed": true,
"reference_joint": 0
},
{
"feature": "joint_enabled",
- "passed": false,
+ "passed": true,
"reference_joint": 0
},
{
"feature": "body0_enabled",
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+ "passed": true,
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},
{
"feature": "body0_kinematic",
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+ "passed": true,
"reference_joint": 0
},
{
"feature": "body1_enabled",
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+ "passed": true,
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},
{
"feature": "body1_kinematic",
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+ "passed": true,
"reference_joint": 0
},
{
@@ -180951,12 +188383,12 @@
},
{
"feature": "axes",
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+ "passed": true,
"reference_joint": 0
},
{
"feature": "relative_orientation",
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+ "passed": true,
"reference_joint": 0
},
{
@@ -180966,32 +188398,32 @@
},
{
"feature": "existence_type_connectivity",
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+ "passed": true,
"reference_joint": 1
},
{
"feature": "joint_enabled",
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+ "passed": true,
"reference_joint": 1
},
{
"feature": "body0_enabled",
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+ "passed": true,
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{
"feature": "body0_kinematic",
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+ "passed": true,
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},
{
"feature": "body1_enabled",
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+ "passed": true,
"reference_joint": 1
},
{
"feature": "body1_kinematic",
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+ "passed": true,
"reference_joint": 1
},
{
@@ -181001,12 +188433,12 @@
},
{
"feature": "axes",
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+ "passed": true,
"reference_joint": 1
},
{
"feature": "relative_orientation",
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+ "passed": true,
"reference_joint": 1
},
{
@@ -181061,13 +188493,13 @@
}
],
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+ "earned": 16,
"eligible": 29,
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"measured": 29,
"reference_joint_count": 3,
"reference_possible_checks": 29,
- "score_percent": 0.0,
+ "score_percent": 55.172413793103445,
"status": "measured"
},
"kinematics": {
@@ -181076,7 +188508,7 @@
"coverage_fraction": 1.0,
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"eligible": 2,
- "extra_joint_count": 5,
+ "extra_joint_count": 3,
"finite_extent_treatment": "1/(1+(unwrapped interval extent error/(absolute range tolerance+relative tolerance*reference extent))^2)",
"groups": {
"fixed_constraints": {
@@ -181094,46 +188526,94 @@
"moving_joints": {
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"coverage_fraction": 1.0,
- "earned": 0.0,
+ "earned": 0.028171966670246705,
"eligible": 5,
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"measured": 5,
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- "score_percent": 0.0,
+ "score_percent": 0.5634393334049341,
"status": "measured",
- "upper_bound_percent": 0.0
+ "upper_bound_percent": 0.5634393334049341
}
},
"infinite_range_probes": "one full revolution or one reference diagonal, centred at a canonical coordinate for fully unbounded motion or anchored at the finite endpoint for half-bounded motion; authored limits remain unchanged",
"joint_quality": "motion_credit*unwrapped_extent_credit*limit_pattern_credit, with motion_credit=1/(1+(motion_rms_m/distance_band_m)^2)",
"joints": [
{
- "candidate_joint": null,
+ "candidate_joint": 1,
+ "candidate_limit_pattern": [
+ "finite",
+ "finite"
+ ],
+ "candidate_path": "/FireExtinguisher/Joints/Operating_lever_hinge",
+ "candidate_probe_interval": [
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+ 0.0
+ ],
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+ "limit_pattern_mismatches": 0,
"measured": 1,
- "motion_rms_m": null,
- "reason": "missing_joint",
+ "motion_credit": 0.03916491906764272,
+ "motion_rms_m": 0.04653464021260179,
+ "probe_units": "radians",
+ "reason": "measured_motion",
"reference_joint": 0,
+ "reference_limit_pattern": [
+ "finite",
+ "finite"
+ ],
"reference_path": "/RootNode/Joints/joint_handle_01_joint_00",
- "score_percent": 0.0,
+ "reference_probe_interval": [
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+ 0.0
+ ],
+ "score_percent": 0.7106777864894058,
"status": "measured",
- "type": "PhysicsRevoluteJoint"
+ "swapped_endpoints": false,
+ "type": "PhysicsRevoluteJoint",
+ "unwrapped_extent_credit": 0.1814577441771235,
+ "unwrapped_extent_error": 0.20943951023931953
},
{
- "candidate_joint": null,
+ "candidate_joint": 3,
+ "candidate_limit_pattern": [
+ "finite",
+ "finite"
+ ],
+ "candidate_path": "/FireExtinguisher/Joints/Safety_pin_extraction",
+ "candidate_probe_interval": [
+ 0.0,
+ 0.057999998331069946
+ ],
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- "earned": 0.0,
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+ "limit_pattern_credit": 1.0,
+ "limit_pattern_mismatches": 0,
"measured": 1,
- "motion_rms_m": null,
- "reason": "missing_joint",
+ "motion_credit": 0.1312932888766706,
+ "motion_rms_m": 0.024166617939615047,
+ "probe_units": "m",
+ "reason": "measured_motion",
"reference_joint": 1,
+ "reference_limit_pattern": [
+ "finite",
+ "finite"
+ ],
"reference_path": "/RootNode/Joints/joint_pin_01_joint_00",
- "score_percent": 0.0,
+ "reference_probe_interval": [
+ 0.0,
+ 0.10025899857282639
+ ],
+ "score_percent": 0.6979205470229295,
"status": "measured",
- "type": "PhysicsPrismaticJoint"
+ "swapped_endpoints": false,
+ "type": "PhysicsPrismaticJoint",
+ "unwrapped_extent_credit": 0.053157366457513004,
+ "unwrapped_extent_error": 0.04225900024175644
},
{
"candidate_joint": null,
@@ -181152,10 +188632,10 @@
],
"limit_pattern_treatment": "1/(1+number of differing bound endpoint states after coordinate normalisation)",
"lower_bound_percent": 0.0,
- "matched_joint_count": 0,
+ "matched_joint_count": 2,
"measured": 2,
"measurement": "sampled joint constraint transforms on common reference-body bounding-box landmarks",
- "missing_joint_count": 3,
+ "missing_joint_count": 1,
"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
"reference_joint_count": 3,
"schema": "source-usd-kinematics-v1",
@@ -181200,22 +188680,22 @@
"aggregation": "mean per-sample appearance-property match fraction",
"coverage_basis": "reference surface samples with assigned visual materials",
"coverage_fraction": 1.0,
- "earned": 533.0,
+ "earned": 46.0,
"eligible": 2048,
- "lower_bound_percent": 26.025390625,
+ "lower_bound_percent": 2.24609375,
"measured": 2048,
- "score_percent": 26.025390625,
+ "score_percent": 2.24609375,
"status": "measured",
"unknown": 0,
- "upper_bound_percent": 26.025390625
+ "upper_bound_percent": 2.24609375
},
"coverage_basis": "reference area samples with supported effective material properties",
"coverage_fraction": 0.8265787760416666,
- "earned": 6005,
+ "earned": 2054,
"eligible": 20314,
"features": {
"physics:assignment": {
- "earned": 1924,
+ "earned": 0,
"eligible": 2048
},
"physics:density": {
@@ -181227,7 +188707,7 @@
"eligible": 2048
},
"physics:restitution": {
- "earned": 93,
+ "earned": 0,
"eligible": 2048
},
"physics:staticFriction": {
@@ -181235,86 +188715,86 @@
"eligible": 2048
},
"visual:assignment": {
- "earned": 1924,
+ "earned": 1893,
"eligible": 2048
},
"visual:diffuseColor": {
- "earned": 48,
+ "earned": 27,
"eligible": 2048
},
"visual:metallic": {
- "earned": 26,
+ "earned": 45,
"eligible": 1965
},
"visual:opacity": {
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+ "earned": 0,
"eligible": 2048
},
"visual:roughness": {
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+ "earned": 89,
"eligible": 1965
}
},
"measured": 20314,
"reference_possible_fields": 24576,
- "score_percent": 29.560893964753372,
+ "score_percent": 10.111253322831544,
"status": "measured"
},
"rigid_parts": {
"coverage_fraction": 1.0,
- "earned": 1.5730185896455793,
+ "earned": 1.6314861821907007,
"eligible": 4,
"extra_bodies": 2,
- "geometry_score_percent": 39.325464741139484,
+ "geometry_score_percent": 40.78715455476752,
"measured": 4,
"missing_parts": 0,
"parts": [
{
"band_m": 0.009395081494733112,
- "candidate_body": "/FireExtinguisher/Tank",
- "p95_m": 0.03804949473373737,
- "precision": 0.93359375,
- "recall": 0.85791015625,
+ "candidate_body": "/FireExtinguisher/Vessel",
+ "p95_m": 0.043260064194351355,
+ "precision": 0.8056640625,
+ "recall": 0.88720703125,
"reference_body": "/RootNode/Geometry/body_01_obj_00",
- "rms_m": 0.013790046152113076,
+ "rms_m": 0.01566182512253051,
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- "score_percent": 89.41532944944126
+ "score_percent": 84.4471647858379
},
{
"band_m": 0.009395081494733112,
"candidate_body": "/FireExtinguisher/PullRing",
- "p95_m": 0.04348188737236364,
+ "p95_m": 0.049466941521857655,
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"recall": 0.0,
"reference_body": "/RootNode/Geometry/glass_01_obj_00",
- "rms_m": 0.03292893426114202,
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"score_percent": 0.0
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{
"band_m": 0.009395081494733112,
- "candidate_body": "/FireExtinguisher/SqueezeLever",
- "p95_m": 0.019459052612357215,
- "precision": 0.60107421875,
- "recall": 0.77978515625,
+ "candidate_body": "/FireExtinguisher/OperatingLever",
+ "p95_m": 0.019045840857680657,
+ "precision": 0.68603515625,
+ "recall": 0.9228515625,
"reference_body": "/RootNode/Geometry/handle_01_obj_00",
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},
{
"band_m": 0.009395081494733112,
"candidate_body": "/FireExtinguisher/SafetyPin",
- "p95_m": 0.040210799366000395,
+ "p95_m": 0.04994111275147018,
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"recall": 0.0,
"reference_body": "/RootNode/Geometry/pin_01_obj_00",
- "rms_m": 0.03638672386139809,
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"score_percent": 0.0
}
],
- "score_percent": 39.325464741139484,
+ "score_percent": 40.78715455476752,
"status": "measured",
"structure": {
"checks": [
@@ -181380,16 +188860,16 @@
"band_m": 0.009395081494733112,
"coverage_basis": "fixed source supported-visible-prim fraction",
"coverage_fraction": 1.0,
- "earned": 0.9200161637931035,
+ "earned": 0.841593412769784,
"eligible": 1,
"full_surface_correspondence": "supported_authored_surfaces",
"measured": 1,
- "p95_m": 0.012739495482556495,
- "precision": 0.9013671875,
- "recall": 0.939453125,
- "rms_m": 0.006595627103925106,
+ "p95_m": 0.03305204817830765,
+ "precision": 0.7724609375,
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+ "rms_m": 0.013597698737602604,
"samples_each_direction": 2048,
- "score_percent": 92.00161637931035,
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"status": "measured"
}
}
@@ -181408,9 +188888,9 @@
"upper_bound_percent": 100.0
},
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@@ -181871,19 +189387,19 @@
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@@ -182722,7 +190238,7 @@
"mandatory": false,
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{
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@@ -182834,7 +190350,7 @@
"mandatory": false,
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@@ -182869,7 +190385,7 @@
"mandatory": false,
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+ "status": "pass"
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{
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@@ -182922,10 +190438,10 @@
}
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@@ -182934,11 +190450,11 @@
"profile_optional_count": 51,
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"scope": "all_optional_profile",
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@@ -183103,7 +190619,7 @@
"mandatory": false,
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@@ -183215,7 +190731,7 @@
"mandatory": false,
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@@ -183250,7 +190766,7 @@
"mandatory": false,
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{
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@@ -183303,10 +190819,10 @@
}
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@@ -183315,18 +190831,18 @@
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@@ -183335,13 +190851,13 @@
"refined_starts": 2,
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[
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0.0
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[
@@ -183353,17 +190869,17 @@
"samples_each_direction": 128,
"scale": 1.0,
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{
"feature": "existence_type_connectivity",
@@ -183507,36 +191023,36 @@
},
{
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@@ -183545,38 +191061,38 @@
"moving_joints": {
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{
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"candidate_limit_pattern": [
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"finite"
],
- "candidate_path": "/FireExtinguisher/Joints/Operating_lever_hinge",
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@@ -183589,32 +191105,32 @@
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0.0
],
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{
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],
- "candidate_path": "/FireExtinguisher/Joints/Safety_pin_extraction",
+ "candidate_path": "/Extinguisher/Joints/SafetyPinSlide",
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],
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@@ -183627,12 +191143,12 @@
0.0,
0.10025899857282639
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{
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@@ -183699,22 +191215,22 @@
"aggregation": "mean per-sample appearance-property match fraction",
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@@ -183722,11 +191238,11 @@
"eligible": 2048
},
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@@ -183734,96 +191250,96 @@
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+ "candidate_body": "/Extinguisher/Body",
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{
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+ "candidate_body": "/Extinguisher/PullRing",
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"reference_body": "/RootNode/Geometry/glass_01_obj_00",
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+ "candidate_body": "/Extinguisher/SqueezeLever",
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+ "candidate_body": "/Extinguisher/SafetyPin",
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"reference_body": "/RootNode/Geometry/pin_01_obj_00",
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"feature": "body_count",
- "passed": false
+ "passed": true
},
{
"feature": "joint_inventory_count",
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+ "passed": true
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{
"feature": "body_enabled",
@@ -183867,10 +191383,10 @@
}
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@@ -183879,16 +191395,16 @@
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}
@@ -183907,9 +191423,9 @@
"upper_bound_percent": 100.0
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@@ -183919,69 +191435,69 @@
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@@ -185103,7 +192619,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.DISP.001",
"requirement_version": "0.1.0",
- "status": "fail"
+ "status": "pass"
},
{
"category": "display_colour",
@@ -185457,10 +192973,10 @@
}
],
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- "lower_bound_percent": 74.50980392156863,
+ "failed_count": 12,
+ "lower_bound_percent": 76.47058823529412,
"measured_count": 51,
- "passed_count": 38,
+ "passed_count": 39,
"profile": {
"id": "Robotics-Prop",
"version": "4.0.0"
@@ -185469,11 +192985,11 @@
"profile_optional_count": 51,
"schema": "simready-validator-optional-score-v1",
"scope": "all_optional_profile",
- "score_percent": 74.50980392156863,
+ "score_percent": 76.47058823529412,
"status": "scored",
"unknown_count": 0,
"unknown_reason": null,
- "upper_bound_percent": 74.50980392156863
+ "upper_bound_percent": 76.47058823529412
}
},
"optional_score": {
@@ -185484,7 +193000,7 @@
"mandatory": false,
"requirement_id": "com.nvidia.simready.DISP.001",
"requirement_version": "0.1.0",
- "status": "fail"
+ "status": "pass"
},
{
"category": "display_colour",
@@ -185838,10 +193354,10 @@
}
],
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- "lower_bound_percent": 74.50980392156863,
+ "failed_count": 12,
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"measured_count": 51,
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"profile": {
"id": "Robotics-Prop",
"version": "4.0.0"
@@ -185850,18 +193366,18 @@
"profile_optional_count": 51,
"schema": "simready-validator-optional-score-v1",
"scope": "all_optional_profile",
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+ "score_percent": 76.47058823529412,
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- "upper_bound_percent": 74.50980392156863
+ "upper_bound_percent": 76.47058823529412
},
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"schema": "source-usd-fidelity-v4",
"status": "measured",
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"alignment": {
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+ "aligned_rms_m": 0.009594042157264933,
"converged": false,
"iterations": 16,
"maximum_iterations_per_start": 8,
@@ -185870,13 +193386,13 @@
"refined_starts": 2,
"rotation": [
[
- 0.9991809243242922,
- 0.04046579378256636,
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+ 0.033353534348351394,
0.0
],
[
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0.0
],
[
@@ -185888,46 +193404,46 @@
"samples_each_direction": 128,
"scale": 1.0,
"translation_m": [
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- -0.0016068839650789553,
- -0.008286269350472997
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],
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+ "unaligned_rms_m": 0.013029600511167793,
+ "yaw_degrees": -178.08862875144263,
"yaw_starts": 32
},
"components": {
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- "candidate_joint_count": 3,
+ "candidate_joint_count": 4,
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{
"feature": "existence_type_connectivity",
- "passed": true,
+ "passed": false,
"reference_joint": 0
},
{
"feature": "joint_enabled",
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+ "passed": false,
"reference_joint": 0
},
{
"feature": "body0_enabled",
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{
"feature": "body0_kinematic",
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+ "passed": false,
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},
{
"feature": "body1_enabled",
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+ "passed": false,
"reference_joint": 0
},
{
"feature": "body1_kinematic",
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+ "passed": false,
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},
{
@@ -185937,12 +193453,12 @@
},
{
"feature": "axes",
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+ "passed": false,
"reference_joint": 0
},
{
"feature": "relative_orientation",
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+ "passed": false,
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},
{
@@ -186002,32 +193518,32 @@
},
{
"feature": "existence_type_connectivity",
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+ "passed": true,
"reference_joint": 2
},
{
"feature": "joint_enabled",
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+ "passed": true,
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{
"feature": "body0_enabled",
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{
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{
"feature": "body1_enabled",
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+ "passed": true,
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},
{
"feature": "body1_kinematic",
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+ "passed": true,
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},
{
@@ -186037,155 +193553,155 @@
},
{
"feature": "relative_orientation",
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+ "passed": true,
"reference_joint": 2
},
{
"feature": "joint_count",
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+ "passed": false,
"reference_joint": "all"
}
],
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},
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"status": "measured",
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},
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- "earned": 0.07875996844353778,
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- "lower_bound_percent": 1.5751993688707555,
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"status": "measured",
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}
},
"infinite_range_probes": "one full revolution or one reference diagonal, centred at a canonical coordinate for fully unbounded motion or anchored at the finite endpoint for half-bounded motion; authored limits remain unchanged",
"joint_quality": "motion_credit*unwrapped_extent_credit*limit_pattern_credit, with motion_credit=1/(1+(motion_rms_m/distance_band_m)^2)",
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{
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+ "motion_rms_m": null,
+ "reason": "missing_joint",
+ "reference_joint": 0,
+ "reference_path": "/RootNode/Joints/joint_handle_01_joint_00",
+ "score_percent": 0.0,
+ "status": "measured",
+ "type": "PhysicsRevoluteJoint"
+ },
+ {
+ "candidate_joint": 3,
"candidate_limit_pattern": [
"finite",
"finite"
],
- "candidate_path": "/Extinguisher/Joints/SqueezeHinge",
+ "candidate_path": "/FireExtinguisher/Joints/SafetyPinRemoval",
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],
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- "probe_units": "radians",
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+ "probe_units": "m",
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"finite",
"finite"
],
- "reference_path": "/RootNode/Joints/joint_handle_01_joint_00",
+ "reference_path": "/RootNode/Joints/joint_pin_01_joint_00",
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+ 0.10025899857282639
],
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"status": "measured",
"swapped_endpoints": false,
- "type": "PhysicsRevoluteJoint",
- "unwrapped_extent_credit": 0.9696256359632469,
- "unwrapped_extent_error": 0.017453292519943292
+ "type": "PhysicsPrismaticJoint",
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+ "unwrapped_extent_error": 0.03825899958610535
},
{
- "candidate_joint": 1,
+ "candidate_joint": 0,
"candidate_limit_pattern": [
"finite",
"finite"
],
- "candidate_path": "/Extinguisher/Joints/SafetyPinSlide",
+ "candidate_path": "/FireExtinguisher/Joints/CarryHandleAttachment",
"candidate_probe_interval": [
0.0,
- 0.07199999690055847
+ 0.0
],
"coverage_fraction": 1,
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"measured": 1,
- "motion_credit": 0.24991275435621096,
- "motion_rms_m": 0.01627654531064392,
+ "motion_credit": 1.0,
+ "motion_rms_m": 2.442351430404862e-11,
"probe_units": "m",
"reason": "measured_motion",
- "reference_joint": 1,
+ "reference_joint": 2,
"reference_limit_pattern": [
"finite",
"finite"
],
- "reference_path": "/RootNode/Joints/joint_pin_01_joint_00",
+ "reference_path": "/RootNode/Joints/joint_glass_01_joint_00",
"reference_probe_interval": [
0.0,
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+ 0.0
],
- "score_percent": 2.7876277900293402,
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"status": "measured",
"swapped_endpoints": false,
- "type": "PhysicsPrismaticJoint",
- "unwrapped_extent_credit": 0.11154403852698207,
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- "reason": "missing_joint",
- "reference_joint": 2,
- "reference_path": "/RootNode/Joints/joint_glass_01_joint_00",
- "score_percent": 0.0,
- "status": "measured",
- "type": "PhysicsFixedJoint"
+ "type": "PhysicsFixedJoint",
+ "unwrapped_extent_credit": 1.0,
+ "unwrapped_extent_error": 0.0
}
],
"limit_pattern_treatment": "1/(1+number of differing bound endpoint states after coordinate normalisation)",
- "lower_bound_percent": 0.0,
+ "lower_bound_percent": 5.7571813727156655,
"matched_joint_count": 2,
"measured": 2,
"measurement": "sampled joint constraint transforms on common reference-body bounding-box landmarks",
@@ -186193,7 +193709,7 @@
"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
"reference_joint_count": 3,
"schema": "source-usd-kinematics-v1",
- "score_percent": 0.0,
+ "score_percent": 5.7571813727156655,
"settings": {
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"range_absolute_degrees": 5,
@@ -186227,29 +193743,29 @@
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
- "upper_bound_percent": 0.0
+ "upper_bound_percent": 5.7571813727156655
},
"materials": {
"appearance": {
"aggregation": "mean per-sample appearance-property match fraction",
"coverage_basis": "reference surface samples with assigned visual materials",
"coverage_fraction": 1.0,
- "earned": 488.5,
+ "earned": 38.75,
"eligible": 2048,
- "lower_bound_percent": 23.8525390625,
+ "lower_bound_percent": 1.89208984375,
"measured": 2048,
- "score_percent": 23.8525390625,
+ "score_percent": 1.89208984375,
"status": "measured",
"unknown": 0,
- "upper_bound_percent": 23.8525390625
+ "upper_bound_percent": 1.89208984375
},
"coverage_basis": "reference area samples with supported effective material properties",
"coverage_fraction": 0.8265787760416666,
- "earned": 7137,
+ "earned": 5259,
"eligible": 20314,
"features": {
"physics:assignment": {
- "earned": 1696,
+ "earned": 1702,
"eligible": 2048
},
"physics:density": {
@@ -186257,11 +193773,11 @@
"eligible": 2048
},
"physics:dynamicFriction": {
- "earned": 1649,
+ "earned": 1635,
"eligible": 2048
},
"physics:restitution": {
- "earned": 52,
+ "earned": 73,
"eligible": 2048
},
"physics:staticFriction": {
@@ -186269,96 +193785,96 @@
"eligible": 2048
},
"visual:assignment": {
- "earned": 1802,
+ "earned": 1702,
"eligible": 2048
},
"visual:diffuseColor": {
- "earned": 1,
+ "earned": 30,
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},
"visual:metallic": {
- "earned": 40,
+ "earned": 44,
"eligible": 1965
},
"visual:opacity": {
- "earned": 1797,
+ "earned": 0,
"eligible": 2048
},
"visual:roughness": {
- "earned": 100,
+ "earned": 73,
"eligible": 1965
}
},
"measured": 20314,
"reference_possible_fields": 24576,
- "score_percent": 35.13340553312986,
+ "score_percent": 25.88854976863247,
"status": "measured"
},
"rigid_parts": {
"coverage_fraction": 1.0,
- "earned": 1.7100556284807504,
+ "earned": 1.888183547275359,
"eligible": 4,
- "extra_bodies": 0,
- "geometry_score_percent": 42.75139071201876,
+ "extra_bodies": 1,
+ "geometry_score_percent": 47.204588681883976,
"measured": 4,
"missing_parts": 0,
"parts": [
{
"band_m": 0.009395081494733112,
- "candidate_body": "/Extinguisher/Body",
- "p95_m": 0.04191049750285952,
- "precision": 0.71826171875,
- "recall": 0.90576171875,
+ "candidate_body": "/FireExtinguisher/TankAssembly",
+ "p95_m": 0.02482522575902809,
+ "precision": 0.86083984375,
+ "recall": 0.8046875,
"reference_body": "/RootNode/Geometry/body_01_obj_00",
- "rms_m": 0.016543384752566233,
+ "rms_m": 0.01007675467761546,
"samples_each_direction": 2048,
- "score_percent": 80.11879063627481
+ "score_percent": 83.18170990911756
},
{
"band_m": 0.009395081494733112,
- "candidate_body": "/Extinguisher/PullRing",
- "p95_m": 0.03545899163174024,
- "precision": 0.0,
- "recall": 0.0,
+ "candidate_body": "/FireExtinguisher/CarryHandle",
+ "p95_m": 0.11554175809631001,
+ "precision": 0.0107421875,
+ "recall": 0.12890625,
"reference_body": "/RootNode/Geometry/glass_01_obj_00",
- "rms_m": 0.025021753845921733,
+ "rms_m": 0.05267281217214971,
"samples_each_direction": 2048,
- "score_percent": 0.0
+ "score_percent": 1.9831730769230769
},
{
"band_m": 0.009395081494733112,
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- "p95_m": 0.09605500975858368,
- "precision": 0.27978515625,
- "recall": 0.35205078125,
+ "candidate_body": "/FireExtinguisher/SqueezeLever",
+ "p95_m": 0.02819060219951433,
+ "precision": 0.5380859375,
+ "recall": 0.58056640625,
"reference_body": "/RootNode/Geometry/handle_01_obj_00",
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},
{
"band_m": 0.009395081494733112,
- "candidate_body": "/Extinguisher/SafetyPin",
- "p95_m": 0.017985210146126137,
- "precision": 0.8251953125,
- "recall": 0.4677734375,
+ "candidate_body": "/FireExtinguisher/SafetyPin",
+ "p95_m": 0.015293821397285676,
+ "precision": 0.41748046875,
+ "recall": 0.55908203125,
"reference_body": "/RootNode/Geometry/pin_01_obj_00",
- "rms_m": 0.010056085144438117,
+ "rms_m": 0.010421044056613706,
"samples_each_direction": 2048,
- "score_percent": 59.70824088935045
+ "score_percent": 47.801513671875
}
],
- "score_percent": 42.75139071201876,
+ "score_percent": 47.204588681883976,
"status": "measured",
"structure": {
"checks": [
{
"feature": "body_count",
- "passed": true
+ "passed": false
},
{
"feature": "joint_inventory_count",
- "passed": true
+ "passed": false
},
{
"feature": "body_enabled",
@@ -186402,10 +193918,10 @@
}
],
"coverage_fraction": 1,
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+ "earned": 8,
"eligible": 10,
"measured": 10,
- "score_percent": 100.0,
+ "score_percent": 80.0,
"status": "measured"
},
"treatment": "minimum of reference-body mean surface F-score and fixed rigid-structure check fraction; no cross-component weighting"
@@ -186414,16 +193930,16 @@
"band_m": 0.009395081494733112,
"coverage_basis": "fixed source supported-visible-prim fraction",
"coverage_fraction": 1.0,
- "earned": 0.7855420746927804,
+ "earned": 0.8179105817293345,
"eligible": 1,
"full_surface_correspondence": "supported_authored_surfaces",
"measured": 1,
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- "precision": 0.70947265625,
- "recall": 0.8798828125,
- "rms_m": 0.01786549158262977,
+ "p95_m": 0.02290742150839835,
+ "precision": 0.80517578125,
+ "recall": 0.8310546875,
+ "rms_m": 0.008885136586453743,
"samples_each_direction": 2048,
- "score_percent": 78.55420746927804,
+ "score_percent": 81.79105817293345,
"status": "measured"
}
}
@@ -186442,9 +193958,9 @@
"upper_bound_percent": 100.0
},
"visual": {
- "score_percent": 43.28645633664973,
+ "score_percent": 12.440097687661975,
"status": "measured",
- "earned": 0.8657291267329945,
+ "earned": 0.2488019537532395,
"eligible": 2,
"measured": 2,
"coverage_fraction": 1.0,
@@ -186454,183 +193970,183 @@
"band_m": 0.009395081494733112,
"coverage_basis": "fixed source supported-visible-prim fraction",
"coverage_fraction": 1.0,
- "earned": 0.7855420746927804,
+ "earned": 0.8179105817293345,
"eligible": 1,
"full_surface_correspondence": "supported_authored_surfaces",
"measured": 1,
- "p95_m": 0.04527626873250808,
- "precision": 0.70947265625,
- "recall": 0.8798828125,
- "rms_m": 0.01786549158262977,
+ "p95_m": 0.02290742150839835,
+ "precision": 0.80517578125,
+ "recall": 0.8310546875,
+ "rms_m": 0.008885136586453743,
"samples_each_direction": 2048,
- "score_percent": 78.55420746927804,
+ "score_percent": 81.79105817293345,
"status": "measured"
},
"appearance": {
"aggregation": "mean per-sample appearance-property match fraction",
"coverage_basis": "reference surface samples with assigned visual materials",
"coverage_fraction": 1.0,
- "earned": 488.5,
+ "earned": 38.75,
"eligible": 2048,
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"status": "measured",
"unknown": 0,
- "upper_bound_percent": 23.8525390625,
+ "upper_bound_percent": 1.89208984375,
"features": {
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+ "earned": 30,
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},
"visual:metallic": {
- "earned": 40,
+ "earned": 44,
"eligible": 1965
},
"visual:opacity": {
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"eligible": 2048
},
"visual:roughness": {
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+ "earned": 73,
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}
}
}
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@@ -188396,7 +195906,7 @@
"status": "measured",
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"maximum_iterations_per_start": 8,
@@ -188405,13 +195915,13 @@
"refined_starts": 2,
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[
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[
@@ -188423,17 +195933,17 @@
"samples_each_direction": 128,
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{
"feature": "existence_type_connectivity",
@@ -188487,32 +195997,32 @@
},
{
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{
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{
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{
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{
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{
@@ -188522,12 +196032,12 @@
},
{
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{
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{
@@ -188535,46 +196045,6 @@
"passed": false,
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{
"feature": "joint_count",
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@@ -188582,47 +196052,47 @@
}
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@@ -188637,104 +196107,42 @@
"motion_rms_m": null,
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- "reference_path": "/RootNode/Joints/joint_handle_01_joint_00",
+ "reference_path": "/RootNode/Joints/joint_sm_utensils_scissors_a01_right_handel_joint_00",
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"status": "measured",
"type": "PhysicsRevoluteJoint"
},
{
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- "reference_path": "/RootNode/Joints/joint_glass_01_joint_00",
- "reference_probe_interval": [
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- 0.0
- ],
- "score_percent": 100.0,
+ "reference_path": "/RootNode/Joints/joint_sm_utensils_scissors_a01_left_handel_joint_00",
+ "score_percent": 0.0,
"status": "measured",
- "swapped_endpoints": false,
- "type": "PhysicsFixedJoint",
- "unwrapped_extent_credit": 1.0,
- "unwrapped_extent_error": 0.0
+ "type": "PhysicsRevoluteJoint"
}
],
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+ "measured": 1,
"measurement": "sampled joint constraint transforms on common reference-body bounding-box landmarks",
- "missing_joint_count": 1,
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"range_scope": "observed finite, half-bounded, unbounded and locked intervals",
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"schema": "source-usd-kinematics-v1",
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"range_absolute_m": 0.005,
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- "reference_diagonal_m": 0.839508149473311,
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0.0,
0.03444185374863373,
@@ -188762,29 +196170,29 @@
"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
- "upper_bound_percent": 5.7571813727156655
+ "upper_bound_percent": 0.0
},
"materials": {
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"coverage_basis": "reference surface samples with assigned visual materials",
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- "earned": 38.75,
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},
"coverage_basis": "reference area samples with supported effective material properties",
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+ "eligible": 20480,
"features": {
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+ "earned": 1887,
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},
"physics:density": {
@@ -188792,11 +196200,11 @@
"eligible": 2048
},
"physics:dynamicFriction": {
- "earned": 1635,
+ "earned": 1887,
"eligible": 2048
},
"physics:restitution": {
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+ "earned": 0,
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},
"physics:staticFriction": {
@@ -188804,86 +196212,71 @@
"eligible": 2048
},
"visual:assignment": {
- "earned": 1702,
+ "earned": 1925,
"eligible": 2048
},
"visual:diffuseColor": {
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+ "earned": 6,
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},
"visual:metallic": {
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- "eligible": 1965
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+ "eligible": 2048
},
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+ "earned": 1925,
"eligible": 2048
},
"visual:roughness": {
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+ "eligible": 2048
}
},
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- "score_percent": 25.88854976863247,
+ "score_percent": 54.6484375,
"status": "measured"
},
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- "eligible": 4,
- "extra_bodies": 1,
- "geometry_score_percent": 47.204588681883976,
- "measured": 4,
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+ "earned": 1.5,
+ "eligible": 3,
+ "extra_bodies": 0,
+ "geometry_score_percent": 60.28324879676651,
+ "measured": 3,
+ "missing_parts": 1,
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{
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- "reference_body": "/RootNode/Geometry/glass_01_obj_00",
- "rms_m": 0.05267281217214971,
+ "band_m": 0.00311275584173482,
+ "candidate_body": "/Scissors/Lower_Half",
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+ "reference_body": "/RootNode/Geometry/sm_utensils_scissors_a01_left_handel_obj_00",
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{
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- "reference_body": "/RootNode/Geometry/pin_01_obj_00",
- "rms_m": 0.010421044056613706,
+ "band_m": 0.00311275584173482,
+ "candidate_body": "/Scissors/Upper_Half",
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+ "recall": 0.9990234375,
+ "reference_body": "/RootNode/Geometry/sm_utensils_scissors_a01_right_handel_obj_00",
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"checks": [
@@ -188897,68 +196290,58 @@
},
{
"feature": "body_enabled",
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- {
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- },
- {
- "feature": "body_enabled",
- "passed": true,
- "reference_body": "/RootNode/Geometry/body_01_obj_00"
+ "passed": false,
+ "reference_body": "/RootNode/Geometry/sm_utensils_scissors_a01_reveat_obj_00"
},
{
"feature": "body_kinematic",
- "passed": true,
- "reference_body": "/RootNode/Geometry/body_01_obj_00"
+ "passed": false,
+ "reference_body": "/RootNode/Geometry/sm_utensils_scissors_a01_reveat_obj_00"
},
{
"feature": "body_enabled",
"passed": true,
- "reference_body": "/RootNode/Geometry/handle_01_obj_00"
+ "reference_body": "/RootNode/Geometry/sm_utensils_scissors_a01_right_handel_obj_00"
},
{
"feature": "body_kinematic",
"passed": true,
- "reference_body": "/RootNode/Geometry/handle_01_obj_00"
+ "reference_body": "/RootNode/Geometry/sm_utensils_scissors_a01_right_handel_obj_00"
},
{
"feature": "body_enabled",
"passed": true,
- "reference_body": "/RootNode/Geometry/pin_01_obj_00"
+ "reference_body": "/RootNode/Geometry/sm_utensils_scissors_a01_left_handel_obj_00"
},
{
"feature": "body_kinematic",
"passed": true,
- "reference_body": "/RootNode/Geometry/pin_01_obj_00"
+ "reference_body": "/RootNode/Geometry/sm_utensils_scissors_a01_left_handel_obj_00"
}
],
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- "eligible": 10,
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+ "earned": 4,
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"status": "measured"
},
"treatment": "minimum of reference-body mean surface F-score and fixed rigid-structure check fraction; no cross-component weighting"
},
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- "band_m": 0.009395081494733112,
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"coverage_basis": "fixed source supported-visible-prim fraction",
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"measured": 1,
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"status": "measured"
}
}
@@ -188977,97 +196360,97 @@
"upper_bound_percent": 100.0
},
"visual": {
- "score_percent": 12.440097687661975,
+ "score_percent": 79.02397059914755,
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"aggregation": "geometric_mean",
"factors": {
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- "band_m": 0.009395081494733112,
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@@ -198140,66 +205355,37 @@
"upper_bound_percent": null
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- "type": "PhysicsRevoluteJoint"
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0.0,
0.03444185374863373,
@@ -198221,35 +205407,35 @@
],
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},
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"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
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@@ -198257,11 +205443,11 @@
"eligible": 2048
},
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@@ -198269,136 +205455,93 @@
"eligible": 2048
},
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{
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{
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- "reference_body": "/RootNode/Geometry/sm_utensils_scissors_a01_left_handel_obj_00"
+ "reference_body": "/RootNode/Geometry/wheelRim_01_obj_00"
},
{
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@@ -198417,72 +205560,60 @@
"upper_bound_percent": 100.0
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@@ -198498,66 +205629,37 @@
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@@ -198579,21 +205681,21 @@
],
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},
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"PhysicsRevoluteJoint",
"PhysicsPrismaticJoint"
],
- "upper_bound_percent": 0.0
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@@ -198602,13 +205704,13 @@
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[
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[
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[
@@ -198620,23 +205722,23 @@
"samples_each_direction": 128,
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- "span": 0.19996289908885956,
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@@ -198659,15 +205761,15 @@
0.0
],
[
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1.0
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@@ -198691,15 +205793,15 @@
0.0
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[
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1.0
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@@ -198723,122 +205825,128 @@
0.0
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[
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1.0
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+ "path": "assets/wheelAssembly_wheel_rim_a01/reconstruction-4/candidate/textures/alloy_micro_normal.png",
+ "relative_path": "textures/alloy_micro_normal.png",
+ "sha256": "167b16a754778c7675414bad2fe15fa25424c17fc549557226880dbb28bd6ca7",
+ "size_bytes": 281100
+ },
+ {
+ "path": "assets/wheelAssembly_wheel_rim_a01/reconstruction-4/candidate/textures/alloy_roughness.png",
+ "relative_path": "textures/alloy_roughness.png",
+ "sha256": "e905f22f6f2d88318ad26de3743e4da888aa8423eae26263511cf72a660fbaa1",
+ "size_bytes": 154643
}
]
},
"images": [
{
"view": "matched reference / reconstruction contact sheet",
- "path": "wheelAssembly_wheel_rim_a01/reconstruction-3/matched-reference-reconstruction-contact-sheet-1.png",
- "sha256": "718e7818819f687bcf7d922d223c20e5768d8be95c836dc696a1ae7b142e88cd",
- "bytes": 239851
+ "path": "wheelAssembly_wheel_rim_a01/reconstruction-4/matched-reference-reconstruction-contact-sheet-1.png",
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+ "bytes": 248651
},
{
"view": "reference / isometric",
- "path": "wheelAssembly_wheel_rim_a01/reconstruction-3/reference-isometric-2.png",
+ "path": "wheelAssembly_wheel_rim_a01/reconstruction-4/reference-isometric-2.png",
"sha256": "4d5412c474a0f0dd114b58489d3aca04ca3d13e18a003a26be3b09a21c2632ae",
"bytes": 74536
},
{
"view": "reference / front",
- "path": "wheelAssembly_wheel_rim_a01/reconstruction-3/reference-front-3.png",
+ "path": "wheelAssembly_wheel_rim_a01/reconstruction-4/reference-front-3.png",
"sha256": "95a2d750c60af13867758c25a996b12d734cb2a82a1d4ec0625a9fa14bd7c2ee",
"bytes": 38413
},
{
"view": "reference / side",
- "path": "wheelAssembly_wheel_rim_a01/reconstruction-3/reference-side-4.png",
+ "path": "wheelAssembly_wheel_rim_a01/reconstruction-4/reference-side-4.png",
"sha256": "a028a8c302278a2045f52e38e2f6b15b113f4279f9bf87afd803d9eb061b93b4",
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{
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+ "path": "wheelAssembly_wheel_rim_a01/reconstruction-4/candidate-isometric-5.png",
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{
"view": "candidate / front",
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- "sha256": "f2f3fd7389a400851ff41d69eefcb8578286ea129655e3bbf0495433e3be5a38",
- "bytes": 33756
+ "path": "wheelAssembly_wheel_rim_a01/reconstruction-4/candidate-front-6.png",
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{
"view": "candidate / side",
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- "sha256": "bef33989eb078db3881dee484dd6e0b672efe659fdedb3691c89f4a5528aae47",
- "bytes": 47307
+ "path": "wheelAssembly_wheel_rim_a01/reconstruction-4/candidate-side-7.png",
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+ "bytes": 48029
}
],
"traces": [
{
"kind": "agent_trajectory",
- "path": "wheelAssembly_wheel_rim_a01/reconstruction-3/harbor-trajectory-4.json",
- "sha256": "090e2dbb97abc4c4834e75dcee7d37947a4c85a8adef70972eee1134e9c2b746",
- "bytes": 162568
+ "path": "wheelAssembly_wheel_rim_a01/reconstruction-4/harbor-trajectory-4.json",
+ "sha256": "b85868608c6c266da7d8e74a069f8c1042d71e74da9ae5ed6ef07454faac2392",
+ "bytes": 235540
}
],
"nvidia_validator_report_file": {
- "path": "evidence/wheelAssembly_wheel_rim_a01/reconstruction-3/nvidia-validator.json",
+ "path": "evidence/wheelAssembly_wheel_rim_a01/reconstruction-4/nvidia-validator.json",
"complete": true,
"findings_truncated": false,
- "sha256": "5c3a63e12d3c2a39398efbf4b056919e5f33b1960de9edeac204f59f1f4a71fd",
- "bytes": 259457
+ "sha256": "148c40cae59c3a37502837ac7472b18e06c6b64fe96b00259d6739a90558491c",
+ "bytes": 437334
},
"reasoning_effort": "high"
}
diff --git a/runs/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv b/runs/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv
index 96b9d043a7c5497237607c39610944572c11567d..725b1251c940194a73b5bb3ce3a200e32a2836f1 100644
--- a/runs/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv
+++ b/runs/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv
@@ -45,6 +45,7 @@ condition-ffe760513832be9081b7d80c3e0663ac8363da6a0a7c0d20238f4c5ac50336bf,handT
condition-4723cf3b62936835d1bb634d1354a7d7e786bd7d4d5d7002376e01912c848c5a,handTool_hammer_crossPeen_a01,gpt-6.1-sol,pi,none,3,completed,100.0,84.1219354614603,,100.0,46,46,0,0,100.0,100.0,5,74.50980392156863,38,13,0,51,51,1.0,74.50980392156863,74.50980392156863,88.42386853448276,88.42386853448276,,50.14107214832729,1.0,1.0,0,0.605712890625,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.682438709229206,2,2,1.0,84.1219354614603,84.1219354614603,not_applicable,0,0,0,0,,,80.029296875,measured,1639.0,2048,2048,1.0,80.029296875,80.029296875,0,0,0,0,0,,not_applicable,0,0,0,0,,,,not_applicable,0,0,0,0,,,0.8842386853448276,1,1,measured,0.8842386853448276,1,1,measured,0,0,0,not_applicable,7464,14886,14886,measured,0.85888671875,0.9111328125,2048,88.42386853448276,100.0,4,4,0,0,34,3,0,529.5744456127286,448.0604081749916,947887,22185,970072,,,
condition-f34d2c13635c48c4f7ee5a3007d4dff496f9d43edc674cf8142f10eafcfb9f7b,handTool_hammer_crossPeen_a01,gpt-6.1-sol,pi,none,4,completed,100.0,92.03263644277794,,100.0,46,46,0,0,100.0,100.0,5,74.50980392156863,38,13,0,51,51,1.0,74.50980392156863,74.50980392156863,93.58819874511082,93.58819874511082,,41.04527744189171,1.0,1.0,0,0.605712890625,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.8406527288555588,2,2,1.0,92.03263644277794,92.03263644277794,not_applicable,0,0,0,0,,,90.5029296875,measured,1853.5,2048,2048,1.0,90.5029296875,90.5029296875,0,0,0,0,0,,not_applicable,0,0,0,0,,,,not_applicable,0,0,0,0,,,0.9358819874511082,1,1,measured,0.9358819874511082,1,1,measured,0,0,0,not_applicable,6110,14886,14886,measured,0.95556640625,0.9169921875,2048,93.58819874511082,100.0,4,4,0,0,37,3,0,695.3052035402507,575.0847765915096,1091634,25232,1116866,,,
condition-21d4167b117f4315338548617cc205219a9eb48cdf5052ca38f3241129d850d1,handTool_wrench_adjustable_a01,gpt-6.1-sol,pi,none,1,completed,100.0,0.0,12.984082724085482,100.0,46,46,0,0,100.0,100.0,5,74.50980392156863,38,13,0,51,51,1.0,74.50980392156863,74.50980392156863,94.03564199604102,85.22091562680372,85.71428571428571,13.54762236787059,1.0,1.0,1.0,0.5835774739583334,complete,measured,46,46,46,1.0,100.0,100.0,measured,0.0,2,2,1.0,0.0,0.0,measured,0.12984082724085483,1,1,1.0,12.984082724085482,12.984082724085482,0.0,measured,0.0,2048,2048,1.0,0.0,0.0,2,2,2,0,0,12.984082724085482,measured,0.5193633089634193,4,4,1.0,12.984082724085482,12.984082724085482,,not_applicable,0,0,0,0,,,0.9403564199604102,1,1,measured,2.5566274688041117,3,3,measured,18,21,21,measured,1943,14342,14342,measured,0.93212890625,0.94873046875,2048,85.22091562680372,100.0,8,8,2,2,37,3,0,832.4888543970883,753.3692192323506,1128020,36729,1164749,,,
+condition-2ab359dbf25ae04bb30e98a00e25f94d4c26eebd8df08584a8a8614434b66227,handTool_wrench_adjustable_a01,gpt-6.1-sol,pi,none,2,completed,100.0,0.0,16.66889356600635,100.0,46,46,0,0,100.0,100.0,5,68.62745098039215,35,16,0,51,51,1.0,68.62745098039215,68.62745098039215,91.88308959052868,87.03617487980769,90.47619047619048,12.975875052293961,1.0,1.0,1.0,0.5835774739583334,complete,measured,46,46,46,1.0,100.0,100.0,measured,0.0,2,2,1.0,0.0,0.0,measured,0.1666889356600635,1,1,1.0,16.66889356600635,16.66889356600635,0.0,measured,0.0,2048,2048,1.0,0.0,0.0,2,2,2,0,0,16.66889356600635,measured,0.6667557426402541,4,4,1.0,16.66889356600635,16.66889356600635,,not_applicable,0,0,0,0,,,0.9188308959052869,1,1,measured,2.611085246394231,3,3,measured,19,21,21,measured,1861,14342,14342,measured,0.92919921875,0.90869140625,2048,87.03617487980769,100.0,8,8,2,2,34,3,0,946.1256962319603,589.4889118743595,962660,27727,990387,,,
condition-7f4f6804fcb572f086f2283588689cbc0add1f90c2fa94ee614c07ef4af67d28,handTool_wrench_adjustable_a01,gpt-6.1-sol,pi,none,3,completed,100.0,95.73538364019569,2.77881600366925,100.0,46,46,0,0,100.0,100.0,5,66.66666666666667,34,17,0,51,51,1.0,66.66666666666667,66.66666666666667,94.99220656956578,66.8429443428965,76.19047619047619,27.597266768930414,1.0,1.0,1.0,0.5835774739583334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.9147076728039139,2,2,1.0,95.73538364019569,95.73538364019569,measured,0.027788160036692502,1,1,1.0,2.77881600366925,2.77881600366925,96.484375,measured,1976.0,2048,2048,1.0,96.484375,96.484375,2,2,2,0,0,2.77881600366925,measured,0.11115264014677001,4,4,1.0,2.77881600366925,2.77881600366925,,not_applicable,0,0,0,0,,,0.9499220656956578,1,1,measured,2.005288330286895,3,3,measured,16,21,21,measured,3958,14342,14342,measured,0.93408203125,0.96630859375,2048,66.8429443428965,100.0,8,8,2,2,39,3,0,727.537944406271,619.313696173951,1087001,28408,1115409,,,
condition-e12539622db1f5c583c1f3a365065b7b03e13b02fcb5035f89452ee0f6123507,handTruck_convertible_steel_red_a01,gpt-6.1-sol,pi,none,1,completed,100.0,11.488694598389886,1.9156562288657506,100.0,46,46,0,0,100.0,100.0,5,76.47058823529412,39,12,0,51,51,1.0,76.47058823529412,76.47058823529412,61.904366134751776,34.394488433236695,35.64356435643565,13.516315949984751,1.0,1.0,1.0,0.6671142578125,complete,measured,46,46,46,1.0,100.0,100.0,measured,0.2297738919677977,2,2,1.0,11.488694598389886,11.488694598389886,measured,0.019156562288657506,1,1,1.0,1.9156562288657506,1.9156562288657506,2.132161458333333,measured,43.666666666666664,2048,2048,1.0,2.132161458333333,2.132161458333326,10,8,4,6,4,1.9156562288657506,measured,0.3448181211958351,18,18,1.0,1.9156562288657506,1.9156562288657506,,not_applicable,0,0,0,0,,,0.6190436613475178,1,1,measured,3.7833937276560365,11,11,measured,36,101,101,measured,2216,16395,16395,measured,0.6005859375,0.638671875,2048,34.394488433236695,75.0,18,24,10,8,38,3,0,702.4965718574822,625.8267327286303,1006459,28758,1035217,,,
condition-8bf5f9e1a888f87c2b364e89fdd217af0535781cc2762cb954815aa6eb9034b6,handTruck_convertible_steel_red_a01,gpt-6.1-sol,pi,none,2,completed,100.0,52.39872283828244,7.466832178092579,100.0,46,46,0,0,100.0,100.0,5,68.62745098039215,35,16,0,51,51,1.0,68.62745098039215,68.62745098039215,67.0874014588619,25.25352880001376,36.633663366336634,19.08508691674291,1.0,1.0,1.0,0.6671142578125,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.0479744567656488,2,2,1.0,52.39872283828244,52.39872283828244,measured,0.07466832178092579,1,1,1.0,7.466832178092579,7.466832178092579,40.92610677083333,measured,838.1666666666666,2048,2048,1.0,40.92610677083333,40.92610677083333,10,8,4,6,4,7.466832178092579,measured,1.3440297920566642,18,18,1.0,7.466832178092579,7.466832178092579,,not_applicable,0,0,0,0,,,0.6708740145886191,1,1,measured,2.777888168001514,11,11,measured,37,101,101,measured,3129,16395,16395,measured,0.630859375,0.71630859375,2048,25.25352880001376,75.0,18,24,10,8,38,3,0,694.8190784752369,639.446894634515,1008585,28396,1036981,,,
@@ -53,6 +54,7 @@ condition-dcd0bc1e86a683302e6a6fd08f4450735b1fad90453165df574e4cb2b1c89602,handT
condition-9883dcb3c5c3c7e8f2c88628280b6e70c1639642b6fe7da78f537c27b5c3b5fd,kitchenware_kettle_a01,gpt-6.1-sol,pi,none,1,completed,100.0,57.2804568710457,0.0,100.0,46,46,0,0,100.0,100.0,5,76.47058823529412,39,12,0,51,51,1.0,76.47058823529412,76.47058823529412,82.67723056537103,40.14326206132092,25.806451612903224,24.6044921875,1.0,1.0,1.0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.145609137420914,2,2,1.0,57.2804568710457,57.2804568710457,measured,0.0,2,2,1.0,0.0,0.0,39.68505859375,measured,812.75,2048,2048,1.0,39.68505859375,39.68505859375,3,4,1,2,3,1.349948361205371,measured,0.08099690167232226,6,6,1.0,1.349948361205371,1.349948361205371,0.0,measured,0,1,1,1.0,0.0,0.0,0.8267723056537103,1,1,measured,1.6057304824528367,4,4,measured,8,31,31,measured,5039,20480,20480,measured,0.78515625,0.873046875,2048,40.14326206132092,80.0,8,10,3,4,38,3,0,758.2219672836363,649.5652432478964,1173908,29697,1203605,,,
condition-d055d716251a72c48f8f6d76752693440b4c8afd0c7c5a219e2e10e3cb670b26,kitchenware_kettle_a01,gpt-6.1-sol,pi,none,2,completed,100.0,52.93713573989876,0.0,100.0,46,46,0,0,100.0,100.0,5,66.66666666666667,34,17,0,51,51,1.0,66.66666666666667,66.66666666666667,77.68789193943103,55.92135538150261,54.83870967741935,23.7109375,1.0,1.0,1.0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.058742714797975,2,2,1.0,52.93713573989876,52.93713573989876,measured,0.0,2,2,1.0,0.0,0.0,36.07177734375,measured,738.75,2048,2048,1.0,36.07177734375,36.07177734375,3,4,2,1,2,4.460771648655946,measured,0.26764629891935676,6,6,1.0,4.460771648655946,4.460771648655946,0.0,measured,0,1,1,1.0,0.0,0.0,0.7768789193943103,1,1,measured,2.236854215260104,4,4,measured,17,31,31,measured,4856,20480,20480,measured,0.66796875,0.92822265625,2048,55.92135538150261,80.0,8,10,3,4,35,2,0,566.6298689469695,501.0907338578254,875218,21685,896903,,,
condition-6b41004df4ae21484ca8d30b7ab51b717ba8738e645978cc304def14f3aa0cb4,kitchenware_kettle_a01,gpt-6.1-sol,pi,none,3,completed,100.0,64.02320960971012,0.0,100.0,46,46,0,0,100.0,100.0,5,76.47058823529412,39,12,0,51,51,1.0,76.47058823529412,76.47058823529412,81.2455200886208,56.45119235861165,54.83870967741935,29.140625,1.0,1.0,1.0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.2804641921942024,2,2,1.0,64.02320960971012,64.02320960971012,measured,0.0,2,2,1.0,0.0,0.0,50.45166015625,measured,1033.25,2048,2048,1.0,50.45166015625,50.45166015625,3,4,2,1,2,2.638683427027007,measured,0.15832100562162044,6,6,1.0,2.638683427027007,2.638683427027007,0.0,measured,0,1,1,1.0,0.0,0.0,0.8124552008862079,1,1,measured,2.258047694344466,4,4,measured,17,31,31,measured,5968,20480,20480,measured,0.7431640625,0.89599609375,2048,56.45119235861165,80.0,8,10,3,4,37,3,0,664.8886930048466,575.4128496460617,967446,27860,995306,,,
+condition-1defde0de62387545e312894323a61902a25e7f287b6a4faaa03202b91e66ec6,kitchenware_kettle_a01,gpt-6.1-sol,pi,none,4,completed,100.0,67.73649281177036,0.0,100.0,46,46,0,0,100.0,100.0,5,76.47058823529412,39,12,0,51,51,1.0,76.47058823529412,76.47058823529412,83.2302929573349,62.52978176705039,58.064516129032256,30.91796875,1.0,1.0,1.0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.3547298562354073,2,2,1.0,67.73649281177036,67.73649281177036,measured,0.0,2,2,1.0,0.0,0.0,55.126953125,measured,1129.0,2048,2048,1.0,55.126953125,55.126953125,3,4,2,1,2,4.67187483337466,measured,0.2803124900024796,6,6,1.0,4.67187483337466,4.67187483337466,0.0,measured,0,1,1,1.0,0.0,0.0,0.832302929573349,1,1,measured,2.5011912706820154,4,4,measured,18,31,31,measured,6332,20480,20480,measured,0.7841796875,0.88671875,2048,62.52978176705039,80.0,8,10,3,4,36,3,0,684.5799831300974,609.121497426182,873262,26585,899847,,,
condition-44da9b6881abf37704ba3279460ce0dc298d9c2c6ecd75454724c5d98e6a0025,kitchenware_pan_j01,gpt-6.1-sol,pi,none,1,completed,100.0,77.61228774655721,0.0,100.0,46,46,0,0,100.0,100.0,5,76.47058823529412,39,12,0,51,51,1.0,76.47058823529412,76.47058823529412,99.95114802149487,50.0,,34.1064453125,1.0,1.0,0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.5522457549311444,2,2,1.0,77.61228774655721,77.61228774655721,measured,0.0,1,1,1.0,0.0,0.0,60.26611328125,measured,1234.25,2048,2048,1.0,60.26611328125,60.26611328125,0,2,0,0,2,,not_applicable,0,0,0,0,,,0.0,measured,0,2,2,1.0,0.0,0.0,0.9995114802149487,1,1,measured,0.5,1,1,measured,0,0,0,not_applicable,6985,20480,20480,measured,0.9990234375,1.0,2048,94.56885456885456,50.0,2,4,0,2,28,3,0,474.6146341578569,401.2407830946613,579142,20253,599395,,,
condition-d92bc0f1d07022c3cd5a8182983345a6b1264d18ca8b6b8a089cb8c37aa46848,kitchenware_pan_j01,gpt-6.1-sol,pi,none,2,completed,100.0,74.43907307178176,0.0,100.0,46,46,0,0,100.0,100.0,5,72.54901960784314,37,14,0,51,51,1.0,72.54901960784314,72.54901960784314,99.85330073349633,50.0,,32.16796875,1.0,1.0,0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.4887814614356352,2,2,1.0,74.43907307178176,74.43907307178176,measured,0.0,1,1,1.0,0.0,0.0,55.4931640625,measured,1136.5,2048,2048,1.0,55.4931640625,55.4931640625,0,2,0,0,2,,not_applicable,0,0,0,0,,,0.0,measured,0,2,2,1.0,0.0,0.0,0.9985330073349633,1,1,measured,0.5,1,1,measured,0,0,0,not_applicable,6588,20480,20480,measured,1.0,0.9970703125,2048,94.48737764039154,50.0,2,4,0,2,32,3,0,443.2551597170532,371.5380076048896,656466,18454,674920,,,
condition-5f68ba18b92fbd9b685635a35e8418a3fb77155a05ac9c24aedc1ad61d35f555,kitchenware_pan_j01,gpt-6.1-sol,pi,none,3,completed,100.0,68.59001271139991,0.0,100.0,46,46,0,0,100.0,100.0,5,74.50980392156863,38,13,0,51,51,1.0,74.50980392156863,74.50980392156863,100.0,50.0,,48.818359375,1.0,1.0,0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.3718002542279981,2,2,1.0,68.59001271139991,68.59001271139991,measured,0.0,1,1,1.0,0.0,0.0,47.0458984375,measured,963.5,2048,2048,1.0,47.0458984375,47.0458984375,0,1,0,0,1,,not_applicable,0,0,0,0,,,0.0,measured,0,1,1,1.0,0.0,0.0,1.0,1,1,measured,0.5,1,1,measured,0,0,0,not_applicable,9998,20480,20480,measured,1.0,1.0,2048,94.78551245825841,50.0,2,4,0,1,31,3,0,638.5760712586343,455.7240464910865,772136,23035,795171,,,
@@ -89,3 +91,4 @@ condition-371427d60ed44a33709e48eeade2c4af5b1745c904142558b209fcf63037389a,utens
condition-ea55e220c04c4b06c92a9bc6649de63e3e6b74a9030c98dd9ef6bb3663ad9af2,wheelAssembly_wheel_rim_a01,gpt-6.1-sol,pi,none,1,completed,100.0,55.49380025018933,,100.0,46,46,0,0,100.0,100.0,5,68.62745098039215,35,16,0,51,51,1.0,68.62745098039215,68.62745098039215,57.38801366691363,57.38801366691363,,30.6640625,1.0,1.0,0,0.5833333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.1098760050037866,2,2,1.0,55.49380025018933,55.49380025018933,not_applicable,0,0,0,0,,,53.662109375,measured,1099.0,2048,2048,1.0,53.662109375,53.662109375,0,0,0,0,0,,not_applicable,0,0,0,0,,,,not_applicable,0,0,0,0,,,0.5738801366691363,1,1,measured,0.5738801366691363,1,1,measured,0,0,0,not_applicable,4396,14336,14336,measured,0.61669921875,0.53662109375,2048,57.38801366691363,100.0,4,4,0,0,43,3,0,633.112413469702,514.8825975991786,989969,22374,1012343,,,
condition-cdc0b7b46b4531586ca3a75003f351273bc9ddae8d8422d637480408f7622012,wheelAssembly_wheel_rim_a01,gpt-6.1-sol,pi,none,2,completed,100.0,0.0,,100.0,46,46,0,0,100.0,100.0,5,62.745098039215684,32,19,0,51,51,1.0,62.745098039215684,62.745098039215684,56.53997626240829,56.53997626240829,,23.709542410714285,1.0,1.0,0,0.5833333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,0.0,2,2,1.0,0.0,0.0,not_applicable,0,0,0,0,,,0.0,measured,0.0,2048,2048,1.0,0.0,0.0,0,0,0,0,0,,not_applicable,0,0,0,0,,,,not_applicable,0,0,0,0,,,0.5653997626240829,1,1,measured,0.5653997626240829,1,1,measured,0,0,0,not_applicable,3399,14336,14336,measured,0.578125,0.55322265625,2048,56.53997626240829,100.0,4,4,0,0,26,3,0,687.0329820774496,584.1406100802124,660631,27196,687827,,,
condition-a2869a4e957b95b1afd39ba0dcf6d53f26f678d544e2d93a5ce6eec96614ffc2,wheelAssembly_wheel_rim_a01,gpt-6.1-sol,pi,none,3,completed,100.0,54.60149992179698,0.0,100.0,46,46,0,0,100.0,100.0,5,72.54901960784314,37,14,0,51,51,1.0,72.54901960784314,72.54901960784314,54.71103162650602,50.0,,31.138392857142858,1.0,1.0,0,0.5833333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.0920299984359396,2,2,1.0,54.60149992179698,54.60149992179698,measured,0.0,1,1,1.0,0.0,0.0,54.4921875,measured,1116.0,2048,2048,1.0,54.4921875,54.4921875,0,2,0,0,2,,not_applicable,0,0,0,0,,,0.0,measured,0,2,2,1.0,0.0,0.0,0.5471103162650602,1,1,measured,0.5,1,1,measured,0,0,0,not_applicable,4464,14336,14336,measured,0.54931640625,0.544921875,2048,54.61031794814484,50.0,2,4,0,2,38,3,0,596.4547029323876,500.50028559193015,850309,21855,872164,,,
+condition-aa020c96335b878efee131f001bcdd2bd64022b640bca9b665c0304dac0f6511,wheelAssembly_wheel_rim_a01,gpt-6.1-sol,pi,none,4,completed,100.0,65.68245982188354,0.0,100.0,46,46,0,0,100.0,100.0,5,66.66666666666667,34,17,0,51,51,1.0,66.66666666666667,66.66666666666667,66.53201778511185,50.0,,18.526785714285715,1.0,1.0,0,0.5833333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.3136491964376709,2,2,1.0,65.68245982188354,65.68245982188354,measured,0.0,1,1,1.0,0.0,0.0,64.84375,measured,1328.0,2048,2048,1.0,64.84375,64.84375,0,2,0,0,2,,not_applicable,0,0,0,0,,,0.0,measured,0,2,2,1.0,0.0,0.0,0.6653201778511185,1,1,measured,0.5,1,1,measured,0,0,0,not_applicable,2656,14336,14336,measured,0.68310546875,0.6484375,2048,67.44923285198556,50.0,2,4,0,2,42,3,0,739.3043900504708,606.788001768291,1363165,25243,1388408,,,
diff --git a/viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/handtool_wrench_adjustable_a01.csv b/viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/handtool_wrench_adjustable_a01.csv
index f233c24948ad3858511c554ba4c41907f122dae1..078cd785af5c24a574c7352a728b12ade6634578 100644
--- a/viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/handtool_wrench_adjustable_a01.csv
+++ b/viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/handtool_wrench_adjustable_a01.csv
@@ -1,3 +1,4 @@
condition_id,asset_id,requested_model,harness_id,skill_set_id,repetition,status,formal_fidelity_percent,visual_fidelity_percent,kinematic_fidelity_percent,simready_reward,mandatory_passed,mandatory_total,mandatory_failed,mandatory_unknown,mandatory_lower_bound_percent,mandatory_upper_bound_percent,completion_bonus,optional_score_percent,optional_passed,optional_failed,optional_unknown,optional_total,optional_measured,optional_coverage,optional_lower_bound_percent,optional_upper_bound_percent,fidelity_shape_percent,fidelity_rigid_parts_percent,fidelity_joints_percent,fidelity_materials_percent,fidelity_shape_coverage,fidelity_rigid_parts_coverage,fidelity_joints_coverage,fidelity_materials_coverage,fidelity_reference_geometry_status,formal_fidelity_status,formal_fidelity_earned,formal_fidelity_eligible,formal_fidelity_measured,formal_fidelity_coverage,formal_fidelity_lower_bound_percent,formal_fidelity_upper_bound_percent,visual_fidelity_status,visual_fidelity_earned,visual_fidelity_eligible,visual_fidelity_measured,visual_fidelity_coverage,visual_fidelity_lower_bound_percent,visual_fidelity_upper_bound_percent,kinematic_fidelity_status,kinematic_fidelity_earned,kinematic_fidelity_eligible,kinematic_fidelity_measured,kinematic_fidelity_coverage,kinematic_fidelity_lower_bound_percent,kinematic_fidelity_upper_bound_percent,visual_appearance_percent,visual_appearance_status,visual_appearance_earned,visual_appearance_eligible,visual_appearance_measured,visual_appearance_coverage,visual_appearance_lower_bound_percent,visual_appearance_upper_bound_percent,kinematic_reference_joint_count,kinematic_candidate_joint_count,kinematic_matched_joint_count,kinematic_missing_joint_count,kinematic_extra_joint_count,kinematic_moving_joints_percent,kinematic_moving_joints_status,kinematic_moving_joints_earned,kinematic_moving_joints_eligible,kinematic_moving_joints_measured,kinematic_moving_joints_coverage,kinematic_moving_joints_lower_bound_percent,kinematic_moving_joints_upper_bound_percent,kinematic_fixed_constraints_percent,kinematic_fixed_constraints_status,kinematic_fixed_constraints_earned,kinematic_fixed_constraints_eligible,kinematic_fixed_constraints_measured,kinematic_fixed_constraints_coverage,kinematic_fixed_constraints_lower_bound_percent,kinematic_fixed_constraints_upper_bound_percent,fidelity_shape_earned,fidelity_shape_eligible,fidelity_shape_measured,fidelity_shape_status,fidelity_rigid_parts_earned,fidelity_rigid_parts_eligible,fidelity_rigid_parts_measured,fidelity_rigid_parts_status,fidelity_joints_earned,fidelity_joints_eligible,fidelity_joints_measured,fidelity_joints_status,fidelity_materials_earned,fidelity_materials_eligible,fidelity_materials_measured,fidelity_materials_status,fidelity_shape_precision,fidelity_shape_recall,fidelity_shape_samples_each_direction,fidelity_rigid_parts_geometry_percent,fidelity_rigid_parts_structure_percent,fidelity_rigid_parts_structure_earned,fidelity_rigid_parts_structure_eligible,fidelity_joints_reference_count,fidelity_joints_candidate_count,inference_calls_used,validation_calls_used,model_request_errors,elapsed_seconds,model_request_seconds,input_tokens,output_tokens,total_tokens,inference_cost_usd,compute_cost_usd,total_cost_usd
condition-21d4167b117f4315338548617cc205219a9eb48cdf5052ca38f3241129d850d1,handTool_wrench_adjustable_a01,gpt-6.1-sol,pi,none,1,completed,100.0,0.0,12.984082724085482,100.0,46,46,0,0,100.0,100.0,5,74.50980392156863,38,13,0,51,51,1.0,74.50980392156863,74.50980392156863,94.03564199604102,85.22091562680372,85.71428571428571,13.54762236787059,1.0,1.0,1.0,0.5835774739583334,complete,measured,46,46,46,1.0,100.0,100.0,measured,0.0,2,2,1.0,0.0,0.0,measured,0.12984082724085483,1,1,1.0,12.984082724085482,12.984082724085482,0.0,measured,0.0,2048,2048,1.0,0.0,0.0,2,2,2,0,0,12.984082724085482,measured,0.5193633089634193,4,4,1.0,12.984082724085482,12.984082724085482,,not_applicable,0,0,0,0,,,0.9403564199604102,1,1,measured,2.5566274688041117,3,3,measured,18,21,21,measured,1943,14342,14342,measured,0.93212890625,0.94873046875,2048,85.22091562680372,100.0,8,8,2,2,37,3,0,832.4888543970883,753.3692192323506,1128020,36729,1164749,,,
+condition-2ab359dbf25ae04bb30e98a00e25f94d4c26eebd8df08584a8a8614434b66227,handTool_wrench_adjustable_a01,gpt-6.1-sol,pi,none,2,completed,100.0,0.0,16.66889356600635,100.0,46,46,0,0,100.0,100.0,5,68.62745098039215,35,16,0,51,51,1.0,68.62745098039215,68.62745098039215,91.88308959052868,87.03617487980769,90.47619047619048,12.975875052293961,1.0,1.0,1.0,0.5835774739583334,complete,measured,46,46,46,1.0,100.0,100.0,measured,0.0,2,2,1.0,0.0,0.0,measured,0.1666889356600635,1,1,1.0,16.66889356600635,16.66889356600635,0.0,measured,0.0,2048,2048,1.0,0.0,0.0,2,2,2,0,0,16.66889356600635,measured,0.6667557426402541,4,4,1.0,16.66889356600635,16.66889356600635,,not_applicable,0,0,0,0,,,0.9188308959052869,1,1,measured,2.611085246394231,3,3,measured,19,21,21,measured,1861,14342,14342,measured,0.92919921875,0.90869140625,2048,87.03617487980769,100.0,8,8,2,2,34,3,0,946.1256962319603,589.4889118743595,962660,27727,990387,,,
condition-7f4f6804fcb572f086f2283588689cbc0add1f90c2fa94ee614c07ef4af67d28,handTool_wrench_adjustable_a01,gpt-6.1-sol,pi,none,3,completed,100.0,95.73538364019569,2.77881600366925,100.0,46,46,0,0,100.0,100.0,5,66.66666666666667,34,17,0,51,51,1.0,66.66666666666667,66.66666666666667,94.99220656956578,66.8429443428965,76.19047619047619,27.597266768930414,1.0,1.0,1.0,0.5835774739583334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.9147076728039139,2,2,1.0,95.73538364019569,95.73538364019569,measured,0.027788160036692502,1,1,1.0,2.77881600366925,2.77881600366925,96.484375,measured,1976.0,2048,2048,1.0,96.484375,96.484375,2,2,2,0,0,2.77881600366925,measured,0.11115264014677001,4,4,1.0,2.77881600366925,2.77881600366925,,not_applicable,0,0,0,0,,,0.9499220656956578,1,1,measured,2.005288330286895,3,3,measured,16,21,21,measured,3958,14342,14342,measured,0.93408203125,0.96630859375,2048,66.8429443428965,100.0,8,8,2,2,39,3,0,727.537944406271,619.313696173951,1087001,28408,1115409,,,
diff --git a/viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/kitchenware_kettle_a01.csv b/viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/kitchenware_kettle_a01.csv
index 8c19126cdfdd05132166eaf26cf7b91d61464a9d..1d0639e1da664c022b9cd31cd5787809f1034b91 100644
--- a/viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/kitchenware_kettle_a01.csv
+++ b/viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/kitchenware_kettle_a01.csv
@@ -2,3 +2,4 @@ condition_id,asset_id,requested_model,harness_id,skill_set_id,repetition,status,
condition-9883dcb3c5c3c7e8f2c88628280b6e70c1639642b6fe7da78f537c27b5c3b5fd,kitchenware_kettle_a01,gpt-6.1-sol,pi,none,1,completed,100.0,57.2804568710457,0.0,100.0,46,46,0,0,100.0,100.0,5,76.47058823529412,39,12,0,51,51,1.0,76.47058823529412,76.47058823529412,82.67723056537103,40.14326206132092,25.806451612903224,24.6044921875,1.0,1.0,1.0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.145609137420914,2,2,1.0,57.2804568710457,57.2804568710457,measured,0.0,2,2,1.0,0.0,0.0,39.68505859375,measured,812.75,2048,2048,1.0,39.68505859375,39.68505859375,3,4,1,2,3,1.349948361205371,measured,0.08099690167232226,6,6,1.0,1.349948361205371,1.349948361205371,0.0,measured,0,1,1,1.0,0.0,0.0,0.8267723056537103,1,1,measured,1.6057304824528367,4,4,measured,8,31,31,measured,5039,20480,20480,measured,0.78515625,0.873046875,2048,40.14326206132092,80.0,8,10,3,4,38,3,0,758.2219672836363,649.5652432478964,1173908,29697,1203605,,,
condition-d055d716251a72c48f8f6d76752693440b4c8afd0c7c5a219e2e10e3cb670b26,kitchenware_kettle_a01,gpt-6.1-sol,pi,none,2,completed,100.0,52.93713573989876,0.0,100.0,46,46,0,0,100.0,100.0,5,66.66666666666667,34,17,0,51,51,1.0,66.66666666666667,66.66666666666667,77.68789193943103,55.92135538150261,54.83870967741935,23.7109375,1.0,1.0,1.0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.058742714797975,2,2,1.0,52.93713573989876,52.93713573989876,measured,0.0,2,2,1.0,0.0,0.0,36.07177734375,measured,738.75,2048,2048,1.0,36.07177734375,36.07177734375,3,4,2,1,2,4.460771648655946,measured,0.26764629891935676,6,6,1.0,4.460771648655946,4.460771648655946,0.0,measured,0,1,1,1.0,0.0,0.0,0.7768789193943103,1,1,measured,2.236854215260104,4,4,measured,17,31,31,measured,4856,20480,20480,measured,0.66796875,0.92822265625,2048,55.92135538150261,80.0,8,10,3,4,35,2,0,566.6298689469695,501.0907338578254,875218,21685,896903,,,
condition-6b41004df4ae21484ca8d30b7ab51b717ba8738e645978cc304def14f3aa0cb4,kitchenware_kettle_a01,gpt-6.1-sol,pi,none,3,completed,100.0,64.02320960971012,0.0,100.0,46,46,0,0,100.0,100.0,5,76.47058823529412,39,12,0,51,51,1.0,76.47058823529412,76.47058823529412,81.2455200886208,56.45119235861165,54.83870967741935,29.140625,1.0,1.0,1.0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.2804641921942024,2,2,1.0,64.02320960971012,64.02320960971012,measured,0.0,2,2,1.0,0.0,0.0,50.45166015625,measured,1033.25,2048,2048,1.0,50.45166015625,50.45166015625,3,4,2,1,2,2.638683427027007,measured,0.15832100562162044,6,6,1.0,2.638683427027007,2.638683427027007,0.0,measured,0,1,1,1.0,0.0,0.0,0.8124552008862079,1,1,measured,2.258047694344466,4,4,measured,17,31,31,measured,5968,20480,20480,measured,0.7431640625,0.89599609375,2048,56.45119235861165,80.0,8,10,3,4,37,3,0,664.8886930048466,575.4128496460617,967446,27860,995306,,,
+condition-1defde0de62387545e312894323a61902a25e7f287b6a4faaa03202b91e66ec6,kitchenware_kettle_a01,gpt-6.1-sol,pi,none,4,completed,100.0,67.73649281177036,0.0,100.0,46,46,0,0,100.0,100.0,5,76.47058823529412,39,12,0,51,51,1.0,76.47058823529412,76.47058823529412,83.2302929573349,62.52978176705039,58.064516129032256,30.91796875,1.0,1.0,1.0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.3547298562354073,2,2,1.0,67.73649281177036,67.73649281177036,measured,0.0,2,2,1.0,0.0,0.0,55.126953125,measured,1129.0,2048,2048,1.0,55.126953125,55.126953125,3,4,2,1,2,4.67187483337466,measured,0.2803124900024796,6,6,1.0,4.67187483337466,4.67187483337466,0.0,measured,0,1,1,1.0,0.0,0.0,0.832302929573349,1,1,measured,2.5011912706820154,4,4,measured,18,31,31,measured,6332,20480,20480,measured,0.7841796875,0.88671875,2048,62.52978176705039,80.0,8,10,3,4,36,3,0,684.5799831300974,609.121497426182,873262,26585,899847,,,
diff --git a/viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/wheelassembly_wheel_rim_a01.csv b/viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/wheelassembly_wheel_rim_a01.csv
index 750990d4ecb41cc15ac5e23d6ef75fa7e817d15b..c76c03ce7fbbb793a7c9ca194c0395d093488422 100644
--- a/viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/wheelassembly_wheel_rim_a01.csv
+++ b/viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/wheelassembly_wheel_rim_a01.csv
@@ -2,3 +2,4 @@ condition_id,asset_id,requested_model,harness_id,skill_set_id,repetition,status,
condition-ea55e220c04c4b06c92a9bc6649de63e3e6b74a9030c98dd9ef6bb3663ad9af2,wheelAssembly_wheel_rim_a01,gpt-6.1-sol,pi,none,1,completed,100.0,55.49380025018933,,100.0,46,46,0,0,100.0,100.0,5,68.62745098039215,35,16,0,51,51,1.0,68.62745098039215,68.62745098039215,57.38801366691363,57.38801366691363,,30.6640625,1.0,1.0,0,0.5833333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.1098760050037866,2,2,1.0,55.49380025018933,55.49380025018933,not_applicable,0,0,0,0,,,53.662109375,measured,1099.0,2048,2048,1.0,53.662109375,53.662109375,0,0,0,0,0,,not_applicable,0,0,0,0,,,,not_applicable,0,0,0,0,,,0.5738801366691363,1,1,measured,0.5738801366691363,1,1,measured,0,0,0,not_applicable,4396,14336,14336,measured,0.61669921875,0.53662109375,2048,57.38801366691363,100.0,4,4,0,0,43,3,0,633.112413469702,514.8825975991786,989969,22374,1012343,,,
condition-cdc0b7b46b4531586ca3a75003f351273bc9ddae8d8422d637480408f7622012,wheelAssembly_wheel_rim_a01,gpt-6.1-sol,pi,none,2,completed,100.0,0.0,,100.0,46,46,0,0,100.0,100.0,5,62.745098039215684,32,19,0,51,51,1.0,62.745098039215684,62.745098039215684,56.53997626240829,56.53997626240829,,23.709542410714285,1.0,1.0,0,0.5833333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,0.0,2,2,1.0,0.0,0.0,not_applicable,0,0,0,0,,,0.0,measured,0.0,2048,2048,1.0,0.0,0.0,0,0,0,0,0,,not_applicable,0,0,0,0,,,,not_applicable,0,0,0,0,,,0.5653997626240829,1,1,measured,0.5653997626240829,1,1,measured,0,0,0,not_applicable,3399,14336,14336,measured,0.578125,0.55322265625,2048,56.53997626240829,100.0,4,4,0,0,26,3,0,687.0329820774496,584.1406100802124,660631,27196,687827,,,
condition-a2869a4e957b95b1afd39ba0dcf6d53f26f678d544e2d93a5ce6eec96614ffc2,wheelAssembly_wheel_rim_a01,gpt-6.1-sol,pi,none,3,completed,100.0,54.60149992179698,0.0,100.0,46,46,0,0,100.0,100.0,5,72.54901960784314,37,14,0,51,51,1.0,72.54901960784314,72.54901960784314,54.71103162650602,50.0,,31.138392857142858,1.0,1.0,0,0.5833333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.0920299984359396,2,2,1.0,54.60149992179698,54.60149992179698,measured,0.0,1,1,1.0,0.0,0.0,54.4921875,measured,1116.0,2048,2048,1.0,54.4921875,54.4921875,0,2,0,0,2,,not_applicable,0,0,0,0,,,0.0,measured,0,2,2,1.0,0.0,0.0,0.5471103162650602,1,1,measured,0.5,1,1,measured,0,0,0,not_applicable,4464,14336,14336,measured,0.54931640625,0.544921875,2048,54.61031794814484,50.0,2,4,0,2,38,3,0,596.4547029323876,500.50028559193015,850309,21855,872164,,,
+condition-aa020c96335b878efee131f001bcdd2bd64022b640bca9b665c0304dac0f6511,wheelAssembly_wheel_rim_a01,gpt-6.1-sol,pi,none,4,completed,100.0,65.68245982188354,0.0,100.0,46,46,0,0,100.0,100.0,5,66.66666666666667,34,17,0,51,51,1.0,66.66666666666667,66.66666666666667,66.53201778511185,50.0,,18.526785714285715,1.0,1.0,0,0.5833333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.3136491964376709,2,2,1.0,65.68245982188354,65.68245982188354,measured,0.0,1,1,1.0,0.0,0.0,64.84375,measured,1328.0,2048,2048,1.0,64.84375,64.84375,0,2,0,0,2,,not_applicable,0,0,0,0,,,0.0,measured,0,2,2,1.0,0.0,0.0,0.6653201778511185,1,1,measured,0.5,1,1,measured,0,0,0,not_applicable,2656,14336,14336,measured,0.68310546875,0.6484375,2048,67.44923285198556,50.0,2,4,0,2,42,3,0,739.3043900504708,606.788001768291,1363165,25243,1388408,,,
diff --git a/viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv b/viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv
index 526ae288bb71420acd827f1de50e0196b20e405e..1ae66412a011963a0b77f77f9ec76bf34728a4b2 100644
--- a/viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv
+++ b/viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv
@@ -45,6 +45,7 @@ condition-ffe760513832be9081b7d80c3e0663ac8363da6a0a7c0d20238f4c5ac50336bf,handT
condition-4723cf3b62936835d1bb634d1354a7d7e786bd7d4d5d7002376e01912c848c5a,handTool_hammer_crossPeen_a01,gpt-6.1-sol,pi,none,3,completed,100.0,84.1219354614603,,100.0,46,46,0,0,100.0,100.0,5,74.50980392156863,38,13,0,51,51,1.0,74.50980392156863,74.50980392156863,88.42386853448276,88.42386853448276,,50.14107214832729,1.0,1.0,0,0.605712890625,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.682438709229206,2,2,1.0,84.1219354614603,84.1219354614603,not_applicable,0,0,0,0,,,80.029296875,measured,1639.0,2048,2048,1.0,80.029296875,80.029296875,0,0,0,0,0,,not_applicable,0,0,0,0,,,,not_applicable,0,0,0,0,,,0.8842386853448276,1,1,measured,0.8842386853448276,1,1,measured,0,0,0,not_applicable,7464,14886,14886,measured,0.85888671875,0.9111328125,2048,88.42386853448276,100.0,4,4,0,0,34,3,0,529.5744456127286,448.0604081749916,947887,22185,970072,,,
condition-f34d2c13635c48c4f7ee5a3007d4dff496f9d43edc674cf8142f10eafcfb9f7b,handTool_hammer_crossPeen_a01,gpt-6.1-sol,pi,none,4,completed,100.0,92.03263644277794,,100.0,46,46,0,0,100.0,100.0,5,74.50980392156863,38,13,0,51,51,1.0,74.50980392156863,74.50980392156863,93.58819874511082,93.58819874511082,,41.04527744189171,1.0,1.0,0,0.605712890625,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.8406527288555588,2,2,1.0,92.03263644277794,92.03263644277794,not_applicable,0,0,0,0,,,90.5029296875,measured,1853.5,2048,2048,1.0,90.5029296875,90.5029296875,0,0,0,0,0,,not_applicable,0,0,0,0,,,,not_applicable,0,0,0,0,,,0.9358819874511082,1,1,measured,0.9358819874511082,1,1,measured,0,0,0,not_applicable,6110,14886,14886,measured,0.95556640625,0.9169921875,2048,93.58819874511082,100.0,4,4,0,0,37,3,0,695.3052035402507,575.0847765915096,1091634,25232,1116866,,,
condition-21d4167b117f4315338548617cc205219a9eb48cdf5052ca38f3241129d850d1,handTool_wrench_adjustable_a01,gpt-6.1-sol,pi,none,1,completed,100.0,0.0,12.984082724085482,100.0,46,46,0,0,100.0,100.0,5,74.50980392156863,38,13,0,51,51,1.0,74.50980392156863,74.50980392156863,94.03564199604102,85.22091562680372,85.71428571428571,13.54762236787059,1.0,1.0,1.0,0.5835774739583334,complete,measured,46,46,46,1.0,100.0,100.0,measured,0.0,2,2,1.0,0.0,0.0,measured,0.12984082724085483,1,1,1.0,12.984082724085482,12.984082724085482,0.0,measured,0.0,2048,2048,1.0,0.0,0.0,2,2,2,0,0,12.984082724085482,measured,0.5193633089634193,4,4,1.0,12.984082724085482,12.984082724085482,,not_applicable,0,0,0,0,,,0.9403564199604102,1,1,measured,2.5566274688041117,3,3,measured,18,21,21,measured,1943,14342,14342,measured,0.93212890625,0.94873046875,2048,85.22091562680372,100.0,8,8,2,2,37,3,0,832.4888543970883,753.3692192323506,1128020,36729,1164749,,,
+condition-2ab359dbf25ae04bb30e98a00e25f94d4c26eebd8df08584a8a8614434b66227,handTool_wrench_adjustable_a01,gpt-6.1-sol,pi,none,2,completed,100.0,0.0,16.66889356600635,100.0,46,46,0,0,100.0,100.0,5,68.62745098039215,35,16,0,51,51,1.0,68.62745098039215,68.62745098039215,91.88308959052868,87.03617487980769,90.47619047619048,12.975875052293961,1.0,1.0,1.0,0.5835774739583334,complete,measured,46,46,46,1.0,100.0,100.0,measured,0.0,2,2,1.0,0.0,0.0,measured,0.1666889356600635,1,1,1.0,16.66889356600635,16.66889356600635,0.0,measured,0.0,2048,2048,1.0,0.0,0.0,2,2,2,0,0,16.66889356600635,measured,0.6667557426402541,4,4,1.0,16.66889356600635,16.66889356600635,,not_applicable,0,0,0,0,,,0.9188308959052869,1,1,measured,2.611085246394231,3,3,measured,19,21,21,measured,1861,14342,14342,measured,0.92919921875,0.90869140625,2048,87.03617487980769,100.0,8,8,2,2,34,3,0,946.1256962319603,589.4889118743595,962660,27727,990387,,,
condition-7f4f6804fcb572f086f2283588689cbc0add1f90c2fa94ee614c07ef4af67d28,handTool_wrench_adjustable_a01,gpt-6.1-sol,pi,none,3,completed,100.0,95.73538364019569,2.77881600366925,100.0,46,46,0,0,100.0,100.0,5,66.66666666666667,34,17,0,51,51,1.0,66.66666666666667,66.66666666666667,94.99220656956578,66.8429443428965,76.19047619047619,27.597266768930414,1.0,1.0,1.0,0.5835774739583334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.9147076728039139,2,2,1.0,95.73538364019569,95.73538364019569,measured,0.027788160036692502,1,1,1.0,2.77881600366925,2.77881600366925,96.484375,measured,1976.0,2048,2048,1.0,96.484375,96.484375,2,2,2,0,0,2.77881600366925,measured,0.11115264014677001,4,4,1.0,2.77881600366925,2.77881600366925,,not_applicable,0,0,0,0,,,0.9499220656956578,1,1,measured,2.005288330286895,3,3,measured,16,21,21,measured,3958,14342,14342,measured,0.93408203125,0.96630859375,2048,66.8429443428965,100.0,8,8,2,2,39,3,0,727.537944406271,619.313696173951,1087001,28408,1115409,,,
condition-e12539622db1f5c583c1f3a365065b7b03e13b02fcb5035f89452ee0f6123507,handTruck_convertible_steel_red_a01,gpt-6.1-sol,pi,none,1,completed,100.0,11.488694598389886,1.9156562288657506,100.0,46,46,0,0,100.0,100.0,5,76.47058823529412,39,12,0,51,51,1.0,76.47058823529412,76.47058823529412,61.904366134751776,34.394488433236695,35.64356435643565,13.516315949984751,1.0,1.0,1.0,0.6671142578125,complete,measured,46,46,46,1.0,100.0,100.0,measured,0.2297738919677977,2,2,1.0,11.488694598389886,11.488694598389886,measured,0.019156562288657506,1,1,1.0,1.9156562288657506,1.9156562288657506,2.132161458333333,measured,43.666666666666664,2048,2048,1.0,2.132161458333333,2.132161458333326,10,8,4,6,4,1.9156562288657506,measured,0.3448181211958351,18,18,1.0,1.9156562288657506,1.9156562288657506,,not_applicable,0,0,0,0,,,0.6190436613475178,1,1,measured,3.7833937276560365,11,11,measured,36,101,101,measured,2216,16395,16395,measured,0.6005859375,0.638671875,2048,34.394488433236695,75.0,18,24,10,8,38,3,0,702.4965718574822,625.8267327286303,1006459,28758,1035217,,,
condition-8bf5f9e1a888f87c2b364e89fdd217af0535781cc2762cb954815aa6eb9034b6,handTruck_convertible_steel_red_a01,gpt-6.1-sol,pi,none,2,completed,100.0,52.39872283828244,7.466832178092579,100.0,46,46,0,0,100.0,100.0,5,68.62745098039215,35,16,0,51,51,1.0,68.62745098039215,68.62745098039215,67.0874014588619,25.25352880001376,36.633663366336634,19.08508691674291,1.0,1.0,1.0,0.6671142578125,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.0479744567656488,2,2,1.0,52.39872283828244,52.39872283828244,measured,0.07466832178092579,1,1,1.0,7.466832178092579,7.466832178092579,40.92610677083333,measured,838.1666666666666,2048,2048,1.0,40.92610677083333,40.92610677083333,10,8,4,6,4,7.466832178092579,measured,1.3440297920566642,18,18,1.0,7.466832178092579,7.466832178092579,,not_applicable,0,0,0,0,,,0.6708740145886191,1,1,measured,2.777888168001514,11,11,measured,37,101,101,measured,3129,16395,16395,measured,0.630859375,0.71630859375,2048,25.25352880001376,75.0,18,24,10,8,38,3,0,694.8190784752369,639.446894634515,1008585,28396,1036981,,,
@@ -53,6 +54,7 @@ condition-dcd0bc1e86a683302e6a6fd08f4450735b1fad90453165df574e4cb2b1c89602,handT
condition-9883dcb3c5c3c7e8f2c88628280b6e70c1639642b6fe7da78f537c27b5c3b5fd,kitchenware_kettle_a01,gpt-6.1-sol,pi,none,1,completed,100.0,57.2804568710457,0.0,100.0,46,46,0,0,100.0,100.0,5,76.47058823529412,39,12,0,51,51,1.0,76.47058823529412,76.47058823529412,82.67723056537103,40.14326206132092,25.806451612903224,24.6044921875,1.0,1.0,1.0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.145609137420914,2,2,1.0,57.2804568710457,57.2804568710457,measured,0.0,2,2,1.0,0.0,0.0,39.68505859375,measured,812.75,2048,2048,1.0,39.68505859375,39.68505859375,3,4,1,2,3,1.349948361205371,measured,0.08099690167232226,6,6,1.0,1.349948361205371,1.349948361205371,0.0,measured,0,1,1,1.0,0.0,0.0,0.8267723056537103,1,1,measured,1.6057304824528367,4,4,measured,8,31,31,measured,5039,20480,20480,measured,0.78515625,0.873046875,2048,40.14326206132092,80.0,8,10,3,4,38,3,0,758.2219672836363,649.5652432478964,1173908,29697,1203605,,,
condition-d055d716251a72c48f8f6d76752693440b4c8afd0c7c5a219e2e10e3cb670b26,kitchenware_kettle_a01,gpt-6.1-sol,pi,none,2,completed,100.0,52.93713573989876,0.0,100.0,46,46,0,0,100.0,100.0,5,66.66666666666667,34,17,0,51,51,1.0,66.66666666666667,66.66666666666667,77.68789193943103,55.92135538150261,54.83870967741935,23.7109375,1.0,1.0,1.0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.058742714797975,2,2,1.0,52.93713573989876,52.93713573989876,measured,0.0,2,2,1.0,0.0,0.0,36.07177734375,measured,738.75,2048,2048,1.0,36.07177734375,36.07177734375,3,4,2,1,2,4.460771648655946,measured,0.26764629891935676,6,6,1.0,4.460771648655946,4.460771648655946,0.0,measured,0,1,1,1.0,0.0,0.0,0.7768789193943103,1,1,measured,2.236854215260104,4,4,measured,17,31,31,measured,4856,20480,20480,measured,0.66796875,0.92822265625,2048,55.92135538150261,80.0,8,10,3,4,35,2,0,566.6298689469695,501.0907338578254,875218,21685,896903,,,
condition-6b41004df4ae21484ca8d30b7ab51b717ba8738e645978cc304def14f3aa0cb4,kitchenware_kettle_a01,gpt-6.1-sol,pi,none,3,completed,100.0,64.02320960971012,0.0,100.0,46,46,0,0,100.0,100.0,5,76.47058823529412,39,12,0,51,51,1.0,76.47058823529412,76.47058823529412,81.2455200886208,56.45119235861165,54.83870967741935,29.140625,1.0,1.0,1.0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.2804641921942024,2,2,1.0,64.02320960971012,64.02320960971012,measured,0.0,2,2,1.0,0.0,0.0,50.45166015625,measured,1033.25,2048,2048,1.0,50.45166015625,50.45166015625,3,4,2,1,2,2.638683427027007,measured,0.15832100562162044,6,6,1.0,2.638683427027007,2.638683427027007,0.0,measured,0,1,1,1.0,0.0,0.0,0.8124552008862079,1,1,measured,2.258047694344466,4,4,measured,17,31,31,measured,5968,20480,20480,measured,0.7431640625,0.89599609375,2048,56.45119235861165,80.0,8,10,3,4,37,3,0,664.8886930048466,575.4128496460617,967446,27860,995306,,,
+condition-1defde0de62387545e312894323a61902a25e7f287b6a4faaa03202b91e66ec6,kitchenware_kettle_a01,gpt-6.1-sol,pi,none,4,completed,100.0,67.73649281177036,0.0,100.0,46,46,0,0,100.0,100.0,5,76.47058823529412,39,12,0,51,51,1.0,76.47058823529412,76.47058823529412,83.2302929573349,62.52978176705039,58.064516129032256,30.91796875,1.0,1.0,1.0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.3547298562354073,2,2,1.0,67.73649281177036,67.73649281177036,measured,0.0,2,2,1.0,0.0,0.0,55.126953125,measured,1129.0,2048,2048,1.0,55.126953125,55.126953125,3,4,2,1,2,4.67187483337466,measured,0.2803124900024796,6,6,1.0,4.67187483337466,4.67187483337466,0.0,measured,0,1,1,1.0,0.0,0.0,0.832302929573349,1,1,measured,2.5011912706820154,4,4,measured,18,31,31,measured,6332,20480,20480,measured,0.7841796875,0.88671875,2048,62.52978176705039,80.0,8,10,3,4,36,3,0,684.5799831300974,609.121497426182,873262,26585,899847,,,
condition-44da9b6881abf37704ba3279460ce0dc298d9c2c6ecd75454724c5d98e6a0025,kitchenware_pan_j01,gpt-6.1-sol,pi,none,1,completed,100.0,77.61228774655721,0.0,100.0,46,46,0,0,100.0,100.0,5,76.47058823529412,39,12,0,51,51,1.0,76.47058823529412,76.47058823529412,99.95114802149487,50.0,,34.1064453125,1.0,1.0,0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.5522457549311444,2,2,1.0,77.61228774655721,77.61228774655721,measured,0.0,1,1,1.0,0.0,0.0,60.26611328125,measured,1234.25,2048,2048,1.0,60.26611328125,60.26611328125,0,2,0,0,2,,not_applicable,0,0,0,0,,,0.0,measured,0,2,2,1.0,0.0,0.0,0.9995114802149487,1,1,measured,0.5,1,1,measured,0,0,0,not_applicable,6985,20480,20480,measured,0.9990234375,1.0,2048,94.56885456885456,50.0,2,4,0,2,28,3,0,474.6146341578569,401.2407830946613,579142,20253,599395,,,
condition-d92bc0f1d07022c3cd5a8182983345a6b1264d18ca8b6b8a089cb8c37aa46848,kitchenware_pan_j01,gpt-6.1-sol,pi,none,2,completed,100.0,74.43907307178176,0.0,100.0,46,46,0,0,100.0,100.0,5,72.54901960784314,37,14,0,51,51,1.0,72.54901960784314,72.54901960784314,99.85330073349633,50.0,,32.16796875,1.0,1.0,0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.4887814614356352,2,2,1.0,74.43907307178176,74.43907307178176,measured,0.0,1,1,1.0,0.0,0.0,55.4931640625,measured,1136.5,2048,2048,1.0,55.4931640625,55.4931640625,0,2,0,0,2,,not_applicable,0,0,0,0,,,0.0,measured,0,2,2,1.0,0.0,0.0,0.9985330073349633,1,1,measured,0.5,1,1,measured,0,0,0,not_applicable,6588,20480,20480,measured,1.0,0.9970703125,2048,94.48737764039154,50.0,2,4,0,2,32,3,0,443.2551597170532,371.5380076048896,656466,18454,674920,,,
condition-5f68ba18b92fbd9b685635a35e8418a3fb77155a05ac9c24aedc1ad61d35f555,kitchenware_pan_j01,gpt-6.1-sol,pi,none,3,completed,100.0,68.59001271139991,0.0,100.0,46,46,0,0,100.0,100.0,5,74.50980392156863,38,13,0,51,51,1.0,74.50980392156863,74.50980392156863,100.0,50.0,,48.818359375,1.0,1.0,0,0.8333333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.3718002542279981,2,2,1.0,68.59001271139991,68.59001271139991,measured,0.0,1,1,1.0,0.0,0.0,47.0458984375,measured,963.5,2048,2048,1.0,47.0458984375,47.0458984375,0,1,0,0,1,,not_applicable,0,0,0,0,,,0.0,measured,0,1,1,1.0,0.0,0.0,1.0,1,1,measured,0.5,1,1,measured,0,0,0,not_applicable,9998,20480,20480,measured,1.0,1.0,2048,94.78551245825841,50.0,2,4,0,1,31,3,0,638.5760712586343,455.7240464910865,772136,23035,795171,,,
@@ -89,3 +91,4 @@ condition-371427d60ed44a33709e48eeade2c4af5b1745c904142558b209fcf63037389a,utens
condition-ea55e220c04c4b06c92a9bc6649de63e3e6b74a9030c98dd9ef6bb3663ad9af2,wheelAssembly_wheel_rim_a01,gpt-6.1-sol,pi,none,1,completed,100.0,55.49380025018933,,100.0,46,46,0,0,100.0,100.0,5,68.62745098039215,35,16,0,51,51,1.0,68.62745098039215,68.62745098039215,57.38801366691363,57.38801366691363,,30.6640625,1.0,1.0,0,0.5833333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.1098760050037866,2,2,1.0,55.49380025018933,55.49380025018933,not_applicable,0,0,0,0,,,53.662109375,measured,1099.0,2048,2048,1.0,53.662109375,53.662109375,0,0,0,0,0,,not_applicable,0,0,0,0,,,,not_applicable,0,0,0,0,,,0.5738801366691363,1,1,measured,0.5738801366691363,1,1,measured,0,0,0,not_applicable,4396,14336,14336,measured,0.61669921875,0.53662109375,2048,57.38801366691363,100.0,4,4,0,0,43,3,0,633.112413469702,514.8825975991786,989969,22374,1012343,,,
condition-cdc0b7b46b4531586ca3a75003f351273bc9ddae8d8422d637480408f7622012,wheelAssembly_wheel_rim_a01,gpt-6.1-sol,pi,none,2,completed,100.0,0.0,,100.0,46,46,0,0,100.0,100.0,5,62.745098039215684,32,19,0,51,51,1.0,62.745098039215684,62.745098039215684,56.53997626240829,56.53997626240829,,23.709542410714285,1.0,1.0,0,0.5833333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,0.0,2,2,1.0,0.0,0.0,not_applicable,0,0,0,0,,,0.0,measured,0.0,2048,2048,1.0,0.0,0.0,0,0,0,0,0,,not_applicable,0,0,0,0,,,,not_applicable,0,0,0,0,,,0.5653997626240829,1,1,measured,0.5653997626240829,1,1,measured,0,0,0,not_applicable,3399,14336,14336,measured,0.578125,0.55322265625,2048,56.53997626240829,100.0,4,4,0,0,26,3,0,687.0329820774496,584.1406100802124,660631,27196,687827,,,
condition-a2869a4e957b95b1afd39ba0dcf6d53f26f678d544e2d93a5ce6eec96614ffc2,wheelAssembly_wheel_rim_a01,gpt-6.1-sol,pi,none,3,completed,100.0,54.60149992179698,0.0,100.0,46,46,0,0,100.0,100.0,5,72.54901960784314,37,14,0,51,51,1.0,72.54901960784314,72.54901960784314,54.71103162650602,50.0,,31.138392857142858,1.0,1.0,0,0.5833333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.0920299984359396,2,2,1.0,54.60149992179698,54.60149992179698,measured,0.0,1,1,1.0,0.0,0.0,54.4921875,measured,1116.0,2048,2048,1.0,54.4921875,54.4921875,0,2,0,0,2,,not_applicable,0,0,0,0,,,0.0,measured,0,2,2,1.0,0.0,0.0,0.5471103162650602,1,1,measured,0.5,1,1,measured,0,0,0,not_applicable,4464,14336,14336,measured,0.54931640625,0.544921875,2048,54.61031794814484,50.0,2,4,0,2,38,3,0,596.4547029323876,500.50028559193015,850309,21855,872164,,,
+condition-aa020c96335b878efee131f001bcdd2bd64022b640bca9b665c0304dac0f6511,wheelAssembly_wheel_rim_a01,gpt-6.1-sol,pi,none,4,completed,100.0,65.68245982188354,0.0,100.0,46,46,0,0,100.0,100.0,5,66.66666666666667,34,17,0,51,51,1.0,66.66666666666667,66.66666666666667,66.53201778511185,50.0,,18.526785714285715,1.0,1.0,0,0.5833333333333334,complete,measured,46,46,46,1.0,100.0,100.0,measured,1.3136491964376709,2,2,1.0,65.68245982188354,65.68245982188354,measured,0.0,1,1,1.0,0.0,0.0,64.84375,measured,1328.0,2048,2048,1.0,64.84375,64.84375,0,2,0,0,2,,not_applicable,0,0,0,0,,,0.0,measured,0,2,2,1.0,0.0,0.0,0.6653201778511185,1,1,measured,0.5,1,1,measured,0,0,0,not_applicable,2656,14336,14336,measured,0.68310546875,0.6484375,2048,67.44923285198556,50.0,2,4,0,2,42,3,0,739.3043900504708,606.788001768291,1363165,25243,1388408,,,