percypeng5221 commited on
Commit
ba20b23
·
verified ·
1 Parent(s): f87f94a

Add SimReady package: M20_Piper

Browse files
M20_Piper/.metadata/M20_Piper_benchmark.json CHANGED
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  "schema_version": "1.0",
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  "asset": "M20_Piper",
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- "duration": 0.006,
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- "message": "Kit's render-context list reads [universal] and does not contain mtlx, so the OpenPBR probe material DISP.001 nominates resolves to no surface at all and the geometry would render on a fallback material this test says nothing about.\n\nHow to fix:\n- Restore ./persistent/app/hydra/material/renderContexts to its shipped value [mdl, mtlx, \"\"]. Kit persists that key to user.config.json on shutdown, so a value narrowed by an earlier run survives into this one.",
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  "test_name": "drive_gain_validation",
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- "message": "Engine session kit_785825_9 crashed before the test could complete (retries exhausted). Cause: Test exceeded its declared max_duration of 300 seconds; the engine session was terminated (retries exhausted).",
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  "test_name": "effort_limit",
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  "passed": false,
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- "duration": 30.847,
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- "message": "Engine session kit_785825_7 crashed before the test could complete (retries exhausted).",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  {
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  "test_name": "ik_target_reach",
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- "engine": "isaac_sim",
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  "engine_version": "6.1.0.0",
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  "status": "skipped",
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  "passed": false,
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- "duration": 1.174,
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  "message": "IK Target Reach phase cannot run: no Lula kinematics descriptor matched this asset.\n\n Found: asset_path='<home>/nvidia-submission/simready-tools/assets/M20_Piper/simready_usd/M20_Piper.usd'\n isaac:robotType='ARM'\n Expected: the asset's path OR its IsaacRobotAPI.isaac:robotType\n value contains one of the canonical Lula-supported\n robot keys (case-insensitive substring match):\n Franka, UR3, UR5, UR10, UR16e, Kinova_Gen3, Cobotta_Pro_900, Cobotta_Pro_1300, Denso_Cobotta, Festo_Cobot, Rethink_Sawyer, Rizon4\n\nFIX (asset-authoring): the Lula IK solver needs a descriptor YAML +\nURDF pair to know your robot's kinematic chain. Two ways to satisfy\nthis test:\n\n 1. RENAME / RETAG to a supported model. If your robot IS one of the\n supported models above, ensure the asset folder name (or the\n default prim's isaac:robotType token) contains the canonical\n key. For example, place the asset under a folder containing\n 'Franka' or set:\n token isaac:robotType = \"Manipulator\"\n string isaac:robotName = \"Franka\"\n on the default prim.\n\n 2. PROVIDE an explicit Lula descriptor. Set the phase config in\n your test profile:\n lula_robot_name: \"<canonical-name>\"\n lula_yaml_path: \"./abs/path/to/robot_descriptor.yaml\"\n lula_urdf_path: \"./abs/path/to/robot.urdf\"\n The YAML must list the kinematic chain (base_link, cspace,\n active joints, default_q) per Isaac Sim's Lula descriptor\n format. See any policy in the policy_map directory cited below\n for a working template.\n\nREFERENCE:\n Spec: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/isaac_sim/robot_core/requirements/robot-type.md (RC.008)\n nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/isaac_sim/robot_core/requirements/robot-schema.md (RC.007)\n Feature: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/features/FET_021_ISAAC.md\n Lula descriptors: Isaac Sim ships YAML+URDF pairs under\n isaacsim.robot_motion.motion_generation/policies/\n policy_map.json -- keyed by canonical robot name\n (Franka, UR3, UR5, UR10, UR16e, Kinova_Gen3,\n Cobotta_Pro_900, Cobotta_Pro_1300, Denso_Cobotta,\n Festo_Cobot, Rethink_Sawyer, Rizon4).\n Example: Any Franka_*.usd or UR10_*.usd asset under\n sample_content/common_assets/robots_general/ -- the\n asset folder name contains the canonical robot key\n and the default prim sets isaac:robotType=\"Manipulator\".",
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  "metrics": {},
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  "kit_logs": []
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  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "engine": "isaac_sim",
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  "engine_version": "6.1.0.0",
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- "kit_logs": []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "message": "Pivot/origin check did not meet the recommended score (score=0.20, recommended >=0.70). Reported as SKIPPED, not a failure: the correct pivot location depends on the object type, so a sub-threshold result is advisory and does not fail FET001. The tilt and spin videos are kept below so the pivot can be judged visually.\nPivot is 62.9% from base (should be <10%).\nX-axis tilt causes ground penetration (min_z=-0.642).\n\nHow to fix:\n- Move the asset pivot to the bottom-center of the bounding box.\n- The pivot should be at Z=0 (ground level) and centered in XY.\n- In your DCC tool, set the pivot/origin to the base of the object.\n- Check the X-tilt and Z-spin videos for visual reference.\n\nWhen this can be ignored: this check validates ground-placeable\nprops. If your object is a rotating/hinged type (e.g., door, robot\njoint), the pivot should be at the rotation center -- not the base;\nthose are validated under FET021/FET022. Attached objects (cameras,\nwheels) should have their pivot at the attachment point.\n\nINTERIM: pivot/origin (VG.025) is treated as advisory and does not\nfail the feature, pending spec clarification on whether VG.025 is a\nmandatory or optional requirement (refer to docs/spec-clarifications-needed.md).",
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  "message": "Pivot/origin check did not meet the recommended score (score=0.20, recommended >=0.70). Reported as SKIPPED, not a failure: the correct pivot location depends on the object type, so a sub-threshold result is advisory and does not fail FET001. The tilt and spin videos are kept below so the pivot can be judged visually.\nPivot is 62.9% from base (should be <10%).\nX-axis tilt causes ground penetration (min_z=-0.642).\n\nHow to fix:\n- Move the asset pivot to the bottom-center of the bounding box.\n- The pivot should be at Z=0 (ground level) and centered in XY.\n- In your DCC tool, set the pivot/origin to the base of the object.\n- Check the X-tilt and Z-spin videos for visual reference.\n\nWhen this can be ignored: this check validates ground-placeable\nprops. If your object is a rotating/hinged type (e.g., door, robot\njoint), the pivot should be at the rotation center -- not the base;\nthose are validated under FET021/FET022. Attached objects (cameras,\nwheels) should have their pivot at the attachment point.\n\nINTERIM: pivot/origin (VG.025) is treated as advisory and does not\nfail the feature, pending spec clarification on whether VG.025 is a\nmandatory or optional requirement (refer to docs/spec-clarifications-needed.md).",
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1813
  "_timing_capture_frame_count": {
@@ -1815,7 +2313,7 @@
1815
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1817
  "_timing_capture_frame_avg_ms": {
1818
- "value": 113.59,
1819
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1821
  "_timing_encode_video_total_s": {
@@ -1835,7 +2333,7 @@
1835
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1837
  "presence_diff_ratio": {
1838
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1839
  "unit": null
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1841
  "presence_passed": {
@@ -1917,11 +2415,11 @@
1917
  "engine_version": "6.1.0.0",
1918
  "status": "pass",
1919
  "passed": true,
1920
- "duration": 1.324,
1921
  "message": "",
1922
  "metrics": {
1923
  "_timing_capture_frame_total_s": {
1924
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1925
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1927
  "_timing_capture_frame_count": {
@@ -1929,7 +2427,7 @@
1929
  "unit": null
1930
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1931
  "_timing_capture_frame_avg_ms": {
1932
- "value": 114.34,
1933
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1935
  "_timing_encode_video_total_s": {
@@ -2031,11 +2529,11 @@
2031
  "engine_version": "6.1.0.0",
2032
  "status": "pass",
2033
  "passed": true,
2034
- "duration": 3.305,
2035
  "message": "",
2036
  "metrics": {
2037
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2038
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2041
  "_timing_capture_frame_count": {
@@ -2043,7 +2541,7 @@
2043
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2045
  "_timing_capture_frame_avg_ms": {
2046
- "value": 234.06,
2047
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2049
  "_timing_encode_video_total_s": {
@@ -2091,7 +2589,7 @@
2091
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2093
  "universal_surface_silhouette_pixels": {
2094
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2095
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2097
  "universal_surface_uncovered_pixels": {
@@ -2177,11 +2675,11 @@
2177
  "engine_version": "6.1.0.0",
2178
  "status": "pass",
2179
  "passed": true,
2180
- "duration": 3.068,
2181
  "message": "",
2182
  "metrics": {
2183
  "_timing_capture_frame_total_s": {
2184
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2185
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2186
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2187
  "_timing_capture_frame_count": {
@@ -2189,7 +2687,7 @@
2189
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2190
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2191
  "_timing_capture_frame_avg_ms": {
2192
- "value": 240.2,
2193
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2194
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2195
  "_timing_encode_video_total_s": {
@@ -2237,7 +2735,7 @@
2237
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2239
  "universal_surface_silhouette_pixels": {
2240
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2241
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2243
  "universal_surface_uncovered_pixels": {
@@ -2323,7 +2821,7 @@
2323
  "engine_version": "6.1.0.0",
2324
  "status": "pass",
2325
  "passed": true,
2326
- "duration": 43.545,
2327
  "message": "",
2328
  "metrics": {
2329
  "slope_drop_initial_cx": {
@@ -2343,7 +2841,7 @@
2343
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2345
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2346
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2349
  "_timing_capture_frame_count": {
@@ -2351,11 +2849,11 @@
2351
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2353
  "_timing_capture_frame_avg_ms": {
2354
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2355
  "unit": null
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2357
  "_timing_encode_video_total_s": {
2358
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2359
  "unit": null
2360
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2361
  "_timing_encode_video_count": {
@@ -2482,6 +2980,17 @@
2482
  "message": "[py stderr]: AttributeError: 'NoneType' object has no attribute 'GetCamera'"
2483
  }
2484
  ]
 
 
 
 
 
 
 
 
 
 
 
2485
  }
2486
  ]
2487
  }
 
1
  {
2
  "schema_version": "1.0",
3
  "asset": "M20_Piper",
4
+ "run_timestamp": "2026-10-22T18:01:32Z",
5
  "passed": false,
6
  "results": [
7
  {
 
10
  "engine_version": "6.1.0.0",
11
  "status": "pass",
12
  "passed": true,
13
+ "duration": 8.54,
14
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15
  "metrics": {
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17
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20
  "_timing_capture_frame_count": {
 
22
  "unit": null
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24
  "_timing_capture_frame_avg_ms": {
25
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26
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29
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30
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32
  "_timing_encode_video_count": {
 
42
  "unit": null
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44
  "culling_xz_max_diff": {
45
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46
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  },
48
  "culling_xz_mean_diff": {
49
+ "value": 0.000186,
50
  "unit": null
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  },
52
  "culling_xz_worst_angle": {
 
132
  "engine_version": "6.1.0.0",
133
  "status": "pass",
134
  "passed": true,
135
+ "duration": 7.848,
136
  "message": "",
137
  "metrics": {
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139
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142
  "_timing_capture_frame_count": {
 
144
  "unit": null
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146
  "_timing_capture_frame_avg_ms": {
147
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148
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150
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151
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152
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154
  "_timing_encode_video_count": {
 
164
  "unit": null
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166
  "culling_xz_max_diff": {
167
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170
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171
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172
  "unit": null
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174
  "culling_xz_worst_angle": {
 
254
  "engine_version": "6.1.0.0",
255
  "status": "pass",
256
  "passed": true,
257
+ "duration": 12.413,
258
  "message": "",
259
  "metrics": {
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282
  "unit": null
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284
  "_timing_capture_frame_total_s": {
285
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288
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290
  "unit": null
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292
  "_timing_capture_frame_avg_ms": {
293
+ "value": 153.7,
294
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296
  "_timing_encode_video_total_s": {
297
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298
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300
  "_timing_encode_video_count": {
 
310
  "unit": null
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312
  "display_color_silhouette_pixels": {
313
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314
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316
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317
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318
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320
  "display_color_read_mean_rgb": {
321
  "value": [
 
322
  0.1283,
323
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324
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325
  ],
326
  "unit": null
327
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328
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329
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330
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331
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332
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333
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334
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336
  "display_color_opacity_ratio": {
337
+ "value": 0.999412,
338
  "unit": null
339
  }
340
  },
 
410
  "test_name": "display_color_response",
411
  "engine": "isaac_sim_newton",
412
  "engine_version": "6.1.0.0",
413
+ "status": "pass",
414
+ "passed": true,
415
+ "duration": 12.022,
416
+ "message": "",
417
  "metrics": {
418
  "display_color_asset_root": {
419
  "value": "/World/AssetRoot/Asset",
420
  "unit": null
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422
  "display_color_render_context_order": {
423
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424
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494
+ "display_color_opacity_ratio": {
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496
  "unit": null
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  }
498
  },
499
+ "kit_logs": [
500
+ {
501
+ "level": "error",
502
+ "channel": "omni.kit.app._impl",
503
+ "message": "[py stderr]: Traceback (most recent call last):"
504
+ },
505
+ {
506
+ "level": "error",
507
+ "channel": "omni.kit.app._impl",
508
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/impl/texture.py\", line 377, in on_drawable_changed"
509
+ },
510
+ {
511
+ "level": "error",
512
+ "channel": "omni.kit.app._impl",
513
+ "message": "[py stderr]: self.__drawable_changed_fn(texture[\"rp_resource\"], presentation_key)"
514
+ },
515
+ {
516
+ "level": "error",
517
+ "channel": "omni.kit.app._impl",
518
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/widget.py\", line 516, in __set_image_data"
519
+ },
520
+ {
521
+ "level": "error",
522
+ "channel": "omni.kit.app._impl",
523
+ "message": "[py stderr]: vp_api._sync_viewport_api(camera, canvas_size, vp_api.time, view, projection, force_update=True) # noqa PLW0212"
524
+ },
525
+ {
526
+ "level": "error",
527
+ "channel": "omni.kit.app._impl",
528
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
529
+ },
530
+ {
531
+ "level": "error",
532
+ "channel": "omni.kit.app._impl",
533
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 546, in _sync_viewport_api"
534
+ },
535
+ {
536
+ "level": "error",
537
+ "channel": "omni.kit.app._impl",
538
+ "message": "[py stderr]: self.__projection = self._conform_projection(policy, camera, image_aspect, canvas_aspect, projection)"
539
+ },
540
+ {
541
+ "level": "error",
542
+ "channel": "omni.kit.app._impl",
543
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
544
+ },
545
+ {
546
+ "level": "error",
547
+ "channel": "omni.kit.app._impl",
548
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 476, in _conform_projection"
549
+ },
550
+ {
551
+ "level": "error",
552
+ "channel": "omni.kit.app._impl",
553
+ "message": "[py stderr]: gf_camera = camera.GetCamera(self.__time)"
554
+ },
555
+ {
556
+ "level": "error",
557
+ "channel": "omni.kit.app._impl",
558
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^"
559
+ },
560
+ {
561
+ "level": "error",
562
+ "channel": "omni.kit.app._impl",
563
+ "message": "[py stderr]: AttributeError: 'NoneType' object has no attribute 'GetCamera'"
564
+ }
565
+ ]
566
  },
567
  {
568
  "test_name": "drive_gain_validation",
 
570
  "engine_version": "",
571
  "status": "fail",
572
  "passed": false,
573
+ "duration": 733.328,
574
+ "message": "Engine session kit_1219183_10 crashed before the test could complete (retries exhausted).",
575
  "metrics": {},
576
  "kit_logs": []
577
  },
578
+ {
579
+ "test_name": "drive_gain_validation",
580
+ "engine": "isaac_sim_newton",
581
+ "engine_version": "6.1.0.0",
582
+ "status": "pass",
583
+ "passed": true,
584
+ "duration": 46.938,
585
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586
+ "metrics": {
587
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588
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591
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592
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619
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623
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629
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631
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632
+ "value": 24,
633
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635
+ },
636
+ "kit_logs": [
637
+ {
638
+ "level": "error",
639
+ "channel": "omni.kit.app._impl",
640
+ "message": "[py stderr]: Traceback (most recent call last):"
641
+ },
642
+ {
643
+ "level": "error",
644
+ "channel": "omni.kit.app._impl",
645
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/impl/texture.py\", line 377, in on_drawable_changed"
646
+ },
647
+ {
648
+ "level": "error",
649
+ "channel": "omni.kit.app._impl",
650
+ "message": "[py stderr]: self.__drawable_changed_fn(texture[\"rp_resource\"], presentation_key)"
651
+ },
652
+ {
653
+ "level": "error",
654
+ "channel": "omni.kit.app._impl",
655
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/widget.py\", line 516, in __set_image_data"
656
+ },
657
+ {
658
+ "level": "error",
659
+ "channel": "omni.kit.app._impl",
660
+ "message": "[py stderr]: vp_api._sync_viewport_api(camera, canvas_size, vp_api.time, view, projection, force_update=True) # noqa PLW0212"
661
+ },
662
+ {
663
+ "level": "error",
664
+ "channel": "omni.kit.app._impl",
665
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
666
+ },
667
+ {
668
+ "level": "error",
669
+ "channel": "omni.kit.app._impl",
670
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 546, in _sync_viewport_api"
671
+ },
672
+ {
673
+ "level": "error",
674
+ "channel": "omni.kit.app._impl",
675
+ "message": "[py stderr]: self.__projection = self._conform_projection(policy, camera, image_aspect, canvas_aspect, projection)"
676
+ },
677
+ {
678
+ "level": "error",
679
+ "channel": "omni.kit.app._impl",
680
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
681
+ },
682
+ {
683
+ "level": "error",
684
+ "channel": "omni.kit.app._impl",
685
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 476, in _conform_projection"
686
+ },
687
+ {
688
+ "level": "error",
689
+ "channel": "omni.kit.app._impl",
690
+ "message": "[py stderr]: gf_camera = camera.GetCamera(self.__time)"
691
+ },
692
+ {
693
+ "level": "error",
694
+ "channel": "omni.kit.app._impl",
695
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^"
696
+ },
697
+ {
698
+ "level": "error",
699
+ "channel": "omni.kit.app._impl",
700
+ "message": "[py stderr]: AttributeError: 'NoneType' object has no attribute 'GetCamera'"
701
+ }
702
+ ]
703
+ },
704
  {
705
  "test_name": "effort_limit",
706
  "engine": "isaac_sim",
707
  "engine_version": "",
708
  "status": "fail",
709
  "passed": false,
710
+ "duration": 50.716,
711
+ "message": "Engine session kit_1219183_15 crashed before the test could complete (retries exhausted).",
712
+ "metrics": {},
713
+ "kit_logs": []
714
+ },
715
+ {
716
+ "test_name": "effort_limit",
717
+ "engine": "isaac_sim_newton",
718
+ "engine_version": "",
719
+ "status": "fail",
720
+ "passed": false,
721
+ "duration": 689.366,
722
+ "message": "Engine session kit_1219183_11 crashed before the test could complete (retries exhausted). Cause: Newton generated 201 contacts but MJWarp allocated 200. Adaptive recovery could not be scheduled (adaptive retry unavailable or exhausted); this is a blocking runtime error, not an asset verdict.",
723
+ "metrics": {},
724
+ "kit_logs": []
725
+ },
726
+ {
727
+ "test_name": "full_range_sweep",
728
+ "engine": "isaac_sim_newton",
729
+ "engine_version": "",
730
+ "status": "fail",
731
+ "passed": false,
732
+ "duration": 175.43,
733
+ "message": "Engine session kit_1219183_17 crashed before the test could complete (retries exhausted). Cause: Newton generated 313 contacts but MJWarp allocated 200. Adaptive recovery could not be scheduled (adaptive retry unavailable or exhausted); this is a blocking runtime error, not an asset verdict.",
734
  "metrics": {},
735
  "kit_logs": []
736
  },
 
740
  "engine_version": "6.1.0.0",
741
  "status": "pass",
742
  "passed": true,
743
+ "duration": 85.09,
744
  "message": "",
745
  "metrics": {
746
  "ground_drop_initial_z_min": {
 
756
  "unit": null
757
  },
758
  "_timing_capture_frame_total_s": {
759
+ "value": 19.089,
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  "unit": null
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  },
762
  "_timing_capture_frame_count": {
 
764
  "unit": null
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  },
766
  "_timing_capture_frame_avg_ms": {
767
+ "value": 241.63,
768
  "unit": null
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  },
770
  "_timing_encode_video_total_s": {
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  "unit": null
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  },
774
  "_timing_encode_video_count": {
 
810
  },
811
  "kit_logs": []
812
  },
813
+ {
814
+ "test_name": "ground_drop",
815
+ "engine": "isaac_sim_newton",
816
+ "engine_version": "",
817
+ "status": "fail",
818
+ "passed": false,
819
+ "duration": 69.678,
820
+ "message": "Engine session kit_1219183_3 crashed before the test could complete (retries exhausted). Cause: Newton generated 214 contacts but MJWarp allocated 200. Adaptive recovery could not be scheduled (adaptive retry unavailable or exhausted); this is a blocking runtime error, not an asset verdict.",
821
+ "metrics": {},
822
+ "kit_logs": []
823
+ },
824
  {
825
  "test_name": "ik_target_reach",
826
+ "engine": "isaac_sim_newton",
827
  "engine_version": "6.1.0.0",
828
  "status": "skipped",
829
  "passed": false,
830
+ "duration": 7.104,
831
  "message": "IK Target Reach phase cannot run: no Lula kinematics descriptor matched this asset.\n\n Found: asset_path='<home>/nvidia-submission/simready-tools/assets/M20_Piper/simready_usd/M20_Piper.usd'\n isaac:robotType='ARM'\n Expected: the asset's path OR its IsaacRobotAPI.isaac:robotType\n value contains one of the canonical Lula-supported\n robot keys (case-insensitive substring match):\n Franka, UR3, UR5, UR10, UR16e, Kinova_Gen3, Cobotta_Pro_900, Cobotta_Pro_1300, Denso_Cobotta, Festo_Cobot, Rethink_Sawyer, Rizon4\n\nFIX (asset-authoring): the Lula IK solver needs a descriptor YAML +\nURDF pair to know your robot's kinematic chain. Two ways to satisfy\nthis test:\n\n 1. RENAME / RETAG to a supported model. If your robot IS one of the\n supported models above, ensure the asset folder name (or the\n default prim's isaac:robotType token) contains the canonical\n key. For example, place the asset under a folder containing\n 'Franka' or set:\n token isaac:robotType = \"Manipulator\"\n string isaac:robotName = \"Franka\"\n on the default prim.\n\n 2. PROVIDE an explicit Lula descriptor. Set the phase config in\n your test profile:\n lula_robot_name: \"<canonical-name>\"\n lula_yaml_path: \"./abs/path/to/robot_descriptor.yaml\"\n lula_urdf_path: \"./abs/path/to/robot.urdf\"\n The YAML must list the kinematic chain (base_link, cspace,\n active joints, default_q) per Isaac Sim's Lula descriptor\n format. See any policy in the policy_map directory cited below\n for a working template.\n\nREFERENCE:\n Spec: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/isaac_sim/robot_core/requirements/robot-type.md (RC.008)\n nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/isaac_sim/robot_core/requirements/robot-schema.md (RC.007)\n Feature: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/features/FET_021_ISAAC.md\n Lula descriptors: Isaac Sim ships YAML+URDF pairs under\n isaacsim.robot_motion.motion_generation/policies/\n policy_map.json -- keyed by canonical robot name\n (Franka, UR3, UR5, UR10, UR16e, Kinova_Gen3,\n Cobotta_Pro_900, Cobotta_Pro_1300, Denso_Cobotta,\n Festo_Cobot, Rethink_Sawyer, Rizon4).\n Example: Any Franka_*.usd or UR10_*.usd asset under\n sample_content/common_assets/robots_general/ -- the\n asset folder name contains the canonical robot key\n and the default prim sets isaac:robotType=\"Manipulator\".",
832
  "metrics": {},
833
  "kit_logs": []
834
  },
835
+ {
836
+ "test_name": "jacobian_ik",
837
+ "engine": "isaac_sim_newton",
838
+ "engine_version": "6.1.0.0",
839
+ "status": "fail",
840
+ "passed": false,
841
+ "duration": 107.692,
842
+ "message": "JIK: in-reach pass rate 0.00 below minimum 0.40 -- the asset's\narticulation could not reach enough generated targets to pass.\n\nWhat the test found:\n - 0 / 5 in-reach targets passed.\n - 5 failed because the DLS solver could not find a joint\n solution (red sphere in the captured video).\n - 0 failed because the solver succeeded but the PD drives did\n not track the precomputed solution to within tolerance\n (orange sphere).\n - Worst position error: inf m (tolerance 0.050 m).\n - Worst orientation error: inf deg (tolerance 10.00 deg).\n - End-effector under test: /World/AssetRoot/Asset/link8.\n - Failed targets: target_0, target_1, target_2, target_3, target_4.\n\nFIX -- triage in this order:\n\n 1) Open the captured video. Targets coloured RED never had a\n joint solution. Targets coloured ORANGE had a solution but\n the robot did not get there -- a drive-tuning problem.\n\n 2) For ORANGE (motion failed) on a `PhysicsRevoluteJoint`,\n inspect drive stiffness / damping on each joint. Industrial\n arms typically need:\n\n def PhysicsRevoluteJoint \"joint_3\" (\n prepend apiSchemas = [\"PhysicsDriveAPI:angular\"]\n )\n {\n # Example values for a 25 kg-link arm; scale with\n # link inertia. Stiffness too low -> drift; too\n # high -> oscillation.\n float drive:angular:physics:stiffness = 10000.0\n float drive:angular:physics:damping = 1000.0\n float drive:angular:physics:maxForce = 1000.0\n }\n\n 3) For RED (solver failed), the Jacobian is singular or the\n joint limits are too tight. Verify each joint declares\n non-zero limits:\n\n float physics:lowerLimit = -180.0\n float physics:upperLimit = 180.0\n\n and that the EE link (/World/AssetRoot/Asset/link8) is the LAST link in the chain --\n a tip link with no preceding revolute joint cannot be\n reached by a Jacobian solver.\n\n 4) Asset fix: Tune drive stiffness/damping so each joint can hold its\n commanded position under JIK's smoothstep motion -- start\n by doubling stiffness on the joint(s) showing the largest\n tracking error in the video.\n\n 5) Engine note: JIK uses a damped least-squares Jacobian solver with USD\n forward kinematics; ensure the asset's joints are exposed\n in the SingleArticulation's `dof_names`.\n\n 6) TEST-CONFIG escape hatches (use only when the asset is\n genuinely correct but the defaults are wrong for it):\n - Reduce `target_radius_factors` (default (0.5, 0.7, 0.9))\n when the bbox-based reach estimate overshoots the actual\n workspace (common on non-extended / folded arms).\n - Loosen `position_tolerance` / `orientation_tolerance_deg`\n (defaults 0.05 m / 10 deg) when the asset's PD drive has\n intentional steady-state error.\n - Increase `max_solver_iterations` (default 50) when DLS\n convergence is slow on long-armed or heavily damped\n robots.\n\nREFERENCE:\n Spec: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/physics_bodies/physics_joints/requirements/articulation.md\n nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/physics_bodies/physics_joints/requirements/joint-body-target-exists.md\n nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/hierarchy/requirements/kinematic-chain-hierarchy.md\n Example: sample_content/common_assets/robots_general/Franka/Franka.usda\n (search for: PhysicsArticulationRootAPI, PhysicsRevoluteJoint)",
843
+ "metrics": {
844
+ "jik_robot_reach": {
845
+ "value": 0.671,
846
+ "unit": null
847
+ },
848
+ "jik_target_radius": {
849
+ "value": 0.6039,
850
+ "unit": null
851
+ },
852
+ "jik_base_position_x": {
853
+ "value": 0.0,
854
+ "unit": null
855
+ },
856
+ "jik_base_position_y": {
857
+ "value": 0.0,
858
+ "unit": null
859
+ },
860
+ "jik_base_position_z": {
861
+ "value": 0.0,
862
+ "unit": null
863
+ },
864
+ "jik_max_observed_reach": {
865
+ "value": 0.684,
866
+ "unit": null
867
+ },
868
+ "jik_distinct_reachable_targets": {
869
+ "value": 5,
870
+ "unit": null
871
+ },
872
+ "jik_bbox_baseline_volume": {
873
+ "value": 0.034257,
874
+ "unit": null
875
+ },
876
+ "jik_total_iterations": {
877
+ "value": 0,
878
+ "unit": null
879
+ },
880
+ "jik_targets_generated": {
881
+ "value": 7,
882
+ "unit": null
883
+ },
884
+ "jik_targets_reached": {
885
+ "value": 0,
886
+ "unit": null
887
+ },
888
+ "jik_targets_total_passed": {
889
+ "value": 2,
890
+ "unit": null
891
+ },
892
+ "jik_targets_in_reach": {
893
+ "value": 5,
894
+ "unit": null
895
+ },
896
+ "jik_targets_out_of_reach": {
897
+ "value": 2,
898
+ "unit": null
899
+ },
900
+ "jik_in_reach_failed": {
901
+ "value": 5,
902
+ "unit": null
903
+ },
904
+ "jik_in_reach_passed_green": {
905
+ "value": 0,
906
+ "unit": null
907
+ },
908
+ "jik_in_reach_solver_failed_red": {
909
+ "value": 5,
910
+ "unit": null
911
+ },
912
+ "jik_in_reach_motion_failed_orange": {
913
+ "value": 0,
914
+ "unit": null
915
+ },
916
+ "jik_out_of_reach_correctly_failed_magenta": {
917
+ "value": 2,
918
+ "unit": null
919
+ },
920
+ "jik_out_of_reach_false_positive_yellow": {
921
+ "value": 0,
922
+ "unit": null
923
+ },
924
+ "jik_max_position_error_m": {
925
+ "value": Infinity,
926
+ "unit": null
927
+ },
928
+ "jik_max_orientation_error_deg": {
929
+ "value": Infinity,
930
+ "unit": null
931
+ },
932
+ "jik_pass_rate": {
933
+ "value": 0.0,
934
+ "unit": null
935
+ },
936
+ "jik_ee_link": {
937
+ "value": "/World/AssetRoot/Asset/link8",
938
+ "unit": null
939
+ }
940
+ },
941
+ "kit_logs": []
942
+ },
943
  {
944
  "test_name": "joint_movement",
945
  "engine": "isaac_sim",
946
  "engine_version": "6.1.0.0",
947
  "status": "pass",
948
  "passed": true,
949
+ "duration": 103.503,
950
  "message": "",
951
  "metrics": {
952
  "_timing_capture_frame_total_s": {
953
+ "value": 12.966,
954
  "unit": null
955
  },
956
  "_timing_capture_frame_count": {
 
958
  "unit": null
959
  },
960
  "_timing_capture_frame_avg_ms": {
961
+ "value": 288.13,
962
  "unit": null
963
  },
964
  "_timing_encode_video_total_s": {
965
+ "value": 2.099,
966
  "unit": null
967
  },
968
  "_timing_encode_video_count": {
 
1472
  },
1473
  "kit_logs": []
1474
  },
1475
+ {
1476
+ "test_name": "joint_movement",
1477
+ "engine": "isaac_sim_newton",
1478
+ "engine_version": "",
1479
+ "status": "fail",
1480
+ "passed": false,
1481
+ "duration": 32.087,
1482
+ "message": "Engine session kit_1219183_7 crashed before the test could complete (retries exhausted). Cause: Newton generated 202 contacts but MJWarp allocated 200. Adaptive recovery could not be scheduled (adaptive retry unavailable or exhausted); this is a blocking runtime error, not an asset verdict.",
1483
+ "metrics": {},
1484
+ "kit_logs": []
1485
+ },
1486
  {
1487
  "test_name": "light_response",
1488
  "engine": "isaac_sim",
1489
  "engine_version": "6.1.0.0",
1490
  "status": "pass",
1491
  "passed": true,
1492
+ "duration": 15.888,
1493
  "message": "",
1494
  "metrics": {
1495
  "_timing_capture_frame_total_s": {
1496
+ "value": 4.799,
1497
  "unit": null
1498
  },
1499
  "_timing_capture_frame_count": {
 
1501
  "unit": null
1502
  },
1503
  "_timing_capture_frame_avg_ms": {
1504
+ "value": 159.96,
1505
  "unit": null
1506
  },
1507
  "_timing_encode_video_total_s": {
1508
+ "value": 1.724,
1509
  "unit": null
1510
  },
1511
  "_timing_encode_video_count": {
 
1549
  "unit": null
1550
  },
1551
  "light_response_max_pair_change": {
1552
+ "value": 0.751906,
1553
  "unit": null
1554
  },
1555
  "light_response_min_pair_change": {
1556
+ "value": 0.029026,
1557
  "unit": null
1558
  }
1559
  },
1560
+ "kit_logs": [
1561
+ {
1562
+ "level": "error",
1563
+ "channel": "omni.kit.app._impl",
1564
+ "message": "[py stderr]: Traceback (most recent call last):"
1565
+ },
1566
+ {
1567
+ "level": "error",
1568
+ "channel": "omni.kit.app._impl",
1569
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/impl/texture.py\", line 377, in on_drawable_changed"
1570
+ },
1571
+ {
1572
+ "level": "error",
1573
+ "channel": "omni.kit.app._impl",
1574
+ "message": "[py stderr]: self.__drawable_changed_fn(texture[\"rp_resource\"], presentation_key)"
1575
+ },
1576
+ {
1577
+ "level": "error",
1578
+ "channel": "omni.kit.app._impl",
1579
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/widget.py\", line 516, in __set_image_data"
1580
+ },
1581
+ {
1582
+ "level": "error",
1583
+ "channel": "omni.kit.app._impl",
1584
+ "message": "[py stderr]: vp_api._sync_viewport_api(camera, canvas_size, vp_api.time, view, projection, force_update=True) # noqa PLW0212"
1585
+ },
1586
+ {
1587
+ "level": "error",
1588
+ "channel": "omni.kit.app._impl",
1589
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
1590
+ },
1591
+ {
1592
+ "level": "error",
1593
+ "channel": "omni.kit.app._impl",
1594
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 546, in _sync_viewport_api"
1595
+ },
1596
+ {
1597
+ "level": "error",
1598
+ "channel": "omni.kit.app._impl",
1599
+ "message": "[py stderr]: self.__projection = self._conform_projection(policy, camera, image_aspect, canvas_aspect, projection)"
1600
+ },
1601
+ {
1602
+ "level": "error",
1603
+ "channel": "omni.kit.app._impl",
1604
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
1605
+ },
1606
+ {
1607
+ "level": "error",
1608
+ "channel": "omni.kit.app._impl",
1609
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 476, in _conform_projection"
1610
+ },
1611
+ {
1612
+ "level": "error",
1613
+ "channel": "omni.kit.app._impl",
1614
+ "message": "[py stderr]: gf_camera = camera.GetCamera(self.__time)"
1615
+ },
1616
+ {
1617
+ "level": "error",
1618
+ "channel": "omni.kit.app._impl",
1619
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^"
1620
+ },
1621
+ {
1622
+ "level": "error",
1623
+ "channel": "omni.kit.app._impl",
1624
+ "message": "[py stderr]: AttributeError: 'NoneType' object has no attribute 'GetCamera'"
1625
+ }
1626
+ ]
1627
  },
1628
  {
1629
  "test_name": "light_response",
 
1631
  "engine_version": "6.1.0.0",
1632
  "status": "pass",
1633
  "passed": true,
1634
+ "duration": 14.922,
1635
  "message": "",
1636
  "metrics": {
1637
  "_timing_capture_frame_total_s": {
1638
+ "value": 4.771,
1639
  "unit": null
1640
  },
1641
  "_timing_capture_frame_count": {
 
1643
  "unit": null
1644
  },
1645
  "_timing_capture_frame_avg_ms": {
1646
+ "value": 159.04,
1647
  "unit": null
1648
  },
1649
  "_timing_encode_video_total_s": {
1650
+ "value": 1.408,
1651
  "unit": null
1652
  },
1653
  "_timing_encode_video_count": {
 
1691
  "unit": null
1692
  },
1693
  "light_response_max_pair_change": {
1694
+ "value": 0.749053,
1695
  "unit": null
1696
  },
1697
  "light_response_min_pair_change": {
1698
+ "value": 0.028906,
1699
  "unit": null
1700
  }
1701
  },
 
1767
  }
1768
  ]
1769
  },
1770
+ {
1771
+ "test_name": "mimic_joint",
1772
+ "engine": "isaac_sim_newton",
1773
+ "engine_version": "6.1.0.0",
1774
+ "status": "skipped",
1775
+ "passed": false,
1776
+ "duration": 3.563,
1777
+ "message": "MIM: no NewtonMimicAPI found on any joint under the asset prim.\n\nThis test is not applicable when the mechanism has no coupled joints. For a Newton follower joint, apply NewtonMimicAPI, set newton:mimicJoint to the reference joint, and author finite newton:mimicCoef0/newton:mimicCoef1 values. The test is skipped, not failed, for an uncoupled articulation.",
1778
+ "metrics": {
1779
+ "mim_mimic_pairs_detected": {
1780
+ "value": 0,
1781
+ "unit": null
1782
+ }
1783
+ },
1784
+ "kit_logs": []
1785
+ },
1786
  {
1787
  "test_name": "normals_xz",
1788
  "engine": "isaac_sim",
1789
  "engine_version": "6.1.0.0",
1790
  "status": "pass",
1791
  "passed": true,
1792
+ "duration": 4.641,
1793
  "message": "",
1794
  "metrics": {
1795
  "_timing_capture_frame_total_s": {
1796
+ "value": 1.158,
1797
  "unit": null
1798
  },
1799
  "_timing_capture_frame_count": {
 
1801
  "unit": null
1802
  },
1803
  "_timing_capture_frame_avg_ms": {
1804
+ "value": 144.8,
1805
  "unit": null
1806
  },
1807
  "_timing_encode_video_total_s": {
1808
+ "value": 0.675,
1809
  "unit": null
1810
  },
1811
  "_timing_encode_video_count": {
 
1821
  "unit": null
1822
  },
1823
  "normals_xz_avg_dark": {
1824
+ "value": 0.000549,
1825
  "unit": null
1826
  },
1827
  "normals_xz_max_dark": {
1828
+ "value": 0.001512,
1829
  "unit": null
1830
  },
1831
  "normals_xz_problem_frames": {
 
1911
  "engine_version": "6.1.0.0",
1912
  "status": "pass",
1913
  "passed": true,
1914
+ "duration": 4.714,
1915
  "message": "",
1916
  "metrics": {
1917
  "_timing_capture_frame_total_s": {
1918
+ "value": 1.231,
1919
  "unit": null
1920
  },
1921
  "_timing_capture_frame_count": {
 
1923
  "unit": null
1924
  },
1925
  "_timing_capture_frame_avg_ms": {
1926
+ "value": 153.93,
1927
  "unit": null
1928
  },
1929
  "_timing_encode_video_total_s": {
1930
+ "value": 0.631,
1931
  "unit": null
1932
  },
1933
  "_timing_encode_video_count": {
 
1943
  "unit": null
1944
  },
1945
  "normals_xz_avg_dark": {
1946
+ "value": 0.00053,
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  "message": "Pivot/origin check did not meet the recommended score (score=0.20, recommended >=0.70). Reported as SKIPPED, not a failure: the correct pivot location depends on the object type, so a sub-threshold result is advisory and does not fail FET001. The tilt and spin videos are kept below so the pivot can be judged visually.\nPivot is 62.9% from base (should be <10%).\nX-axis tilt causes ground penetration (min_z=-0.642).\n\nHow to fix:\n- Move the asset pivot to the bottom-center of the bounding box.\n- The pivot should be at Z=0 (ground level) and centered in XY.\n- In your DCC tool, set the pivot/origin to the base of the object.\n- Check the X-tilt and Z-spin videos for visual reference.\n\nWhen this can be ignored: this check validates ground-placeable\nprops. If your object is a rotating/hinged type (e.g., door, robot\njoint), the pivot should be at the rotation center -- not the base;\nthose are validated under FET021/FET022. Attached objects (cameras,\nwheels) should have their pivot at the attachment point.\n\nINTERIM: pivot/origin (VG.025) is treated as advisory and does not\nfail the feature, pending spec clarification on whether VG.025 is a\nmandatory or optional requirement (refer to docs/spec-clarifications-needed.md).",
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  "engine_version": "6.1.0.0",
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  "status": "pass",
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  "unit": null
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  "unit": null
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  "message": "[py stderr]: AttributeError: 'NoneType' object has no attribute 'GetCamera'"
2981
  }
2982
  ]
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+ {
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  ]
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M20_Piper/.metadata/M20_Piper_validation.json CHANGED
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  "dependencies": "[]",
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  "dependencies": "[{'FET_024_STANDARD': {'version': '0.1.0'}}]",
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  "version": "0.1.0"
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M20_Piper/.metadata/com.nvidia.simready.conformance.Package-Candidate@1.0.0.json ADDED
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