diff --git a/.gitattributes b/.gitattributes index 945871d3d080ce6b58db224222986f5f89c17bd8..bd52c9d469297bbaf38bcc7e1fa7c8f1bdd940e7 100644 --- a/.gitattributes +++ b/.gitattributes @@ -60,3 +60,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *.webm filter=lfs diff=lfs merge=lfs -text runs/household-v5-astra-high-seed0/03-balance-scale/owner-actions.jsonl filter=lfs diff=lfs merge=lfs -text runs/household-v5-astra-high-seed0-attempt-2/03-balance-scale/provider-requests.jsonl filter=lfs diff=lfs merge=lfs -text +runs/household-v5-astra-high-seed0/18-fetch-book/provider-requests.jsonl filter=lfs diff=lfs merge=lfs -text diff --git a/evaluation/attempts.json b/evaluation/attempts.json index c181945dc6eb2dc2e72e5a42da0b1102a8df68ca..2502707361b807cff6769562b81fd238f777ddd1 100644 --- a/evaluation/attempts.json +++ b/evaluation/attempts.json @@ -800,9 +800,33 @@ { "slot": "18-fetch-book", "task": "isaaclab/t2-fetch-book", - "status": "running", + "status": "completed", "gpu": 0, "started_at": "2026-10-24T05:49:58.925494+00:00", + "result": { + "returncode": 0, + "job": "t2-v5-remaining2-18-fetch-book-realtime", + "gpu": 0, + "finished_at": "2026-10-24T06:51:08.395079+00:00", + "trial": "18-fetch-book__iCcjmKr", + "parent_exception": null, + "step_exceptions": [], + "usage_complete": true, + "unresolved_request_events": 0, + "responses": 187, + "unresolved_attempts": 0, + "authorized_provider_usage_gaps": 0, + "known_5xx_usage_gaps": 0, + "only_authorized_5xx_usage_gaps": false, + "native_valid": true, + "native_success": false, + "native_reason": "stopped", + "workspace_present": true, + "evidence_present": true, + "expected_budget_exhaustion": false, + "safe_to_dispatch": true, + "authorized_provider_replacement_eligible": false + }, "attempt": 1, "commits": { "RoboEnv": "41517b0f36a34631a21bbd8bc26edd0e9d8d20e3", @@ -1152,8 +1176,33 @@ "max_steps": null }, "usage_note": "Unknown usage remains unknown even when a replacement completes." + }, + { + "slot": "20-deliver-parcel-through-door", + "task": "isaaclab/t2-deliver-parcel-through-door", + "status": "running", + "gpu": 0, + "started_at": "2026-10-24T06:51:13.926049+00:00", + "attempt": 2, + "commits": { + "RoboEnv": "41517b0f36a34631a21bbd8bc26edd0e9d8d20e3", + "RLE-Bench-inhouse": "ed9f3fbd13c388e2fa496f54f8423363633984f0", + "kinex": "15207927c6669fe98f1213a3fd05148e0fe938d3" + }, + "task_image": "sha256:35cf27d40ba0bee6e4eb7b689f472cc0b49a3f637fbe4c3a8054320da400b684", + "agent_image": "sha256:bfcb2c2b7d76566f96da139835dfc977e050b8e81d464455785a5346ed3b14be", + "runtime_identity_sha256": "e4560f1862ee10cc4e9d4431d07786680fd2c2bc81992293bae25767338fb1a8", + "protocol": { + "model": "openai-codex/gpt-6-astra", + "effort": "high", + "seed": 0, + "mode": "realtime", + "wall_timeout_s": 3600, + "max_steps": null + }, + "usage_note": "Unknown usage remains unknown even when a replacement completes." } ], - "count": 25, + "count": 26, "scope": "All started formal attempts, including retained original attempts. 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"2026-10-24T06:51:08.395079+00:00", + "trial": "18-fetch-book__iCcjmKr", + "parent_exception": null, + "step_exceptions": [], + "usage_complete": true, + "unresolved_request_events": 0, + "responses": 187, + "unresolved_attempts": 0, + "authorized_provider_usage_gaps": 0, + "known_5xx_usage_gaps": 0, + "only_authorized_5xx_usage_gaps": false, + "native_valid": true, + "native_success": false, + "native_reason": "stopped", + "workspace_present": true, + "evidence_present": true, + "expected_budget_exhaustion": false, + "safe_to_dispatch": true, + "authorized_provider_replacement_eligible": false + }, "campaign_root": "[local-path]" }, { @@ -745,7 +769,12 @@ "safe_to_dispatch": false, "authorized_provider_replacement_eligible": true }, - "campaign_root": "[local-path]" + "campaign_root": "[local-path]", + "replacement": { + "attempt": 2, + "status": "queued", + "authorization": "User requested normal completion for all 20 tasks, rerunning abnormal attempts and accepting either native success or failure." + } }, { "slot": "20-deliver-parcel-through-door", @@ -780,7 +809,7 @@ "campaign_root": "[local-path]", "replacement": { "attempt": 2, - "status": "queued", + "status": "running", "authorization": "User requested normal completion for all 20 tasks, rerunning abnormal attempts and accepting either native success or failure." } } @@ -788,7 +817,7 @@ "maximum_workers": 8, "admitted_limit": 8, "peak_active": 8, - "dispatch_paused": false, + "dispatch_paused": true, "pause_reason": "Provider usage or effective configuration needs review", "finished_at": "2026-10-24T04:28:37.359354+00:00", "maximum_new_model_concurrency": 2, @@ -809,6 +838,7 @@ "[local-path]", "[local-path]", "[local-path]", + "[local-path]", "[local-path]" ] } diff --git a/index.json b/index.json index 87316a4b4756849f4e3f0925135b0eeebb832686..b00ab074f7d0600daf9ff9ab3d601481528a091b 100644 --- a/index.json +++ b/index.json @@ -1,6 +1,6 @@ { "schema": "t2-hssd-household/evaluation/1", - "updated_at": "2026-10-24T06:50:47.974230+00:00", + "updated_at": "2026-10-24T06:54:29.606220+00:00", "validation": { "status": "Pre-run engineering validation passed; current model outcomes are listed per episode.", "initializations_passed": 60, @@ -1858,17 +1858,79 @@ "task": "18-fetch-book", "title": "Fetch the book", "instruction": "Go to the bookcase, pick up the book lying on the lower open shelf, and bring it back to the center of the tray on the reading desk. Let go and leave it resting there.", - "poster": "images/18-fetch-book.jpg", + "poster": "runs/household-v5-astra-high-seed0/18-fetch-book/third_person.jpg", "initialization_passed": 3, "links": { - "Task YAML": "tasks/18-fetch-book.yaml", - "Validation": "validation/18-fetch-book.json" + "Task YAML": "runs/household-v5-astra-high-seed0/18-fetch-book/task.yaml", + "Validation": "validation/18-fetch-book.json", + "Review": "runs/household-v5-astra-high-seed0/18-fetch-book/review.json", + "Verdict": "runs/household-v5-astra-high-seed0/18-fetch-book/episode.json", + "Usage": "runs/household-v5-astra-high-seed0/18-fetch-book/usage.json", + "Usage coverage": "runs/household-v5-astra-high-seed0/18-fetch-book/usage-coverage.json", + "Transcript": "runs/household-v5-astra-high-seed0/18-fetch-book/transcript.json", + "Instruction": "runs/household-v5-astra-high-seed0/18-fetch-book/task-instruction.txt", + "Protocol": "runs/household-v5-astra-high-seed0/18-fetch-book/protocol.json", + "Native progress": "runs/household-v5-astra-high-seed0/18-fetch-book/native-progress.json", + "Owner record": "runs/household-v5-astra-high-seed0/18-fetch-book/owner-record.json", + "Media checks": "runs/household-v5-astra-high-seed0/18-fetch-book/media-check.json", + "Workspace": "runs/household-v5-astra-high-seed0/18-fetch-book/workspace-changes.json", + "Reusable resources": "runs/household-v5-astra-high-seed0/18-fetch-book/resources.tar.gz", + "Resource manifest": "runs/household-v5-astra-high-seed0/18-fetch-book/resources.json", + "Assessment": "runs/household-v5-astra-high-seed0/18-fetch-book/assessment.json" }, "native_task": "isaaclab/t2-fetch-book", - "status": "running", + "status": "completed", "seed": 0, "model_attempts": 1, - "replacement": {} + "replacement": {}, + "native_exported": true, + "exported_attempt": 1, + "exported_trial": "18-fetch-book__iCcjmKr", + "task_success": false, + "owner_valid": true, + "usage_complete": true, + "steps": 76453, + "usage": { + "input_tokens": 15089512, + "cached_input_tokens": 14958208, + "output_tokens": 40352, + "total_tokens": 15129864, + "cache_hit_rate": 0.9912983269439065 + }, + "api": { + "provider": "openai-codex", + "model": "gpt-6-astra", + "protocol": "Responses", + "transport": "sse", + "requests": 187, + "responses": 187 + }, + "views": [ + { + "name": "third_person", + "label": "Overview", + "kind": "live", + "video": "runs/household-v5-astra-high-seed0/18-fetch-book/third_person.mp4", + "poster": "runs/household-v5-astra-high-seed0/18-fetch-book/third_person.jpg" + }, + { + "name": "head", + "label": "Head", + "kind": "live", + "video": "runs/household-v5-astra-high-seed0/18-fetch-book/head.mp4", + "poster": "runs/household-v5-astra-high-seed0/18-fetch-book/head.jpg" + }, + { + "name": "hand", + "label": "Hands", + "kind": "live", + "video": "runs/household-v5-astra-high-seed0/18-fetch-book/hand.mp4", + "poster": "runs/household-v5-astra-high-seed0/18-fetch-book/hand.jpg" + } + ], + "execution_note": "stopped", + "video": "runs/household-v5-astra-high-seed0/18-fetch-book/third_person.mp4", + "assessment": "The native success predicate did not pass. Unsatisfied terminal conditions: book_on_tray." }, { "task": "19-store-remote-drawer", @@ -1898,7 +1960,11 @@ "status": "interrupted", "seed": 0, "model_attempts": 1, - "replacement": {}, + "replacement": { + "attempt": 2, + "status": "queued", + "authorization": "User requested normal completion for all 20 tasks, rerunning abnormal attempts and accepting either native success or failure." + }, "native_exported": true, "exported_attempt": 1, "exported_trial": "19-store-remote-drawer__akLpryE", @@ -1975,10 +2041,10 @@ "native_task": "isaaclab/t2-deliver-parcel-through-door", "status": "interrupted", "seed": 0, - "model_attempts": 1, + "model_attempts": 2, "replacement": { "attempt": 2, - "status": "queued", + "status": "running", "authorization": "User requested normal completion for all 20 tasks, rerunning abnormal attempts and accepting either native success or failure." }, "native_exported": true, @@ -2028,7 +2094,16 @@ ], "execution_note": "stopped", "video": "runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/third_person.mp4", - "assessment": "Execution interrupted; retained native verdict is reported separately. Unsatisfied terminal conditions: actual_passage, bilateral_delivery." + "assessment": "Execution interrupted; retained native verdict is reported separately. Unsatisfied terminal conditions: actual_passage, bilateral_delivery.", + "composite": { + "video": "runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/composite.mp4", + "poster": "runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/composite.jpg", + "sha256": "0b6b836dc84fd9dbc3cd24c0f241bae238160f26819bf8057aba5b337ffed578", + "layout": "Overview and head above enlarged hands; synchronized original frames at 10 fps", + "media_kind": "composite of three live recordings", + "frame_count": 6645, + "passed": true + } } ], "campaign": { diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/assessment.json b/runs/household-v5-astra-high-seed0/18-fetch-book/assessment.json new file mode 100644 index 0000000000000000000000000000000000000000..d5a65c333e7f6ec0c01023af3cf376dc00ae3c26 --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/assessment.json @@ -0,0 +1,24 @@ +{ + "schema": "t2/task-assessment/1", + "summary": "The native success predicate did not pass. Unsatisfied terminal conditions: book_on_tray.", + "native_verdict": false, + "owner_valid": true, + "execution_status": "completed", + "execution_reason": "stopped", + "satisfied_terminal_conditions": [ + "book_picked" + ], + "unsatisfied_terminal_conditions": [ + "book_on_tray" + ], + "instruction_alignment": "The exact accepted instruction and version-5 scene task specification were checked against the committed feat/t2-simple-assets source before dispatch and again against sealed owner evidence.", + "scene_evidence": "Recorded overview, head and hand videos, original preview and the images actually delivered to the model.", + "failure_cause": "No causal explanation is inferred beyond the retained owner state and action record.", + "recommendation": "Retain provisionally", + "confidence": "Limited to one independent seed-0 attempt.", + "learning_hypothesis": "Within-episode tools may inform a future separately authorized study; transfer and improvement were not measured.", + 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sha256:ff470d4df2deda9a6b31d6aa40fb28ff19cf9c062500c3b5097326dddb326779 +size 607507 diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/instruction.txt b/runs/household-v5-astra-high-seed0/18-fetch-book/instruction.txt new file mode 100644 index 0000000000000000000000000000000000000000..a69c5e9bfae8ce5e8bca7a37f12c713bb8bfe3b6 --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/instruction.txt @@ -0,0 +1,66 @@ +# Task: isaaclab/t2-fetch-book + +Go to the bookcase, pick up the book lying on the lower open shelf, and bring it back to the center of the tray on the reading desk. Let go and leave it resting there. + +## Work to do + +Solve the task efficiently. The simulation is already running. +Follow the task instruction above, including its completion requirements. +Use `roboenv describe --endpoint "$ROBOENV_ENDPOINT"` to inspect the environment +and public task context. Its native instruction is reference text; the task +instruction above already includes this episode's required assignments. +Reuse your saved tools, skills, and memos. + +## Limits + +You have no limit on native action frames. Execution mode is `realtime`: physics continues during reasoning and tool calls. The world's `wait` action waits for the already-running simulation; it does not grant additional time or pause physics. Buffered motion stops at its declared duration. +Joint and gripper writes use `actions` and `duration_s` to submit a buffer and +return immediately. Concurrent waits share the same clock. +Reads and writes do not advance physics by themselves. Submission or +elapsed time does not prove arrival; inspect measured feedback. Device stop +affects only its declared scope without ending the episode. The safety timeout is +3600 seconds, including updates to saved resources. +Do not launch or reset a simulation. + + + +## Completion + +Use `roboenv status --endpoint "$ROBOENV_ENDPOINT" --json` to check the simulation +state and remaining budget. It does not report success or failure. When finished, +call `roboenv stop --endpoint "$ROBOENV_ENDPOINT" --json` to finalize the attempt +and receive the final judgment. Stopping does not grant a retry. If the simulation +has already terminated, use the same stop command to retrieve its final judgment. + +## Saved resources + +Maintain reusable code in `.kinex/tools/`, skills in `.kinex/skills/`, and concise working notes +in `.kinex/memos/`. Improve existing files in place as you learn, replacing outdated +content. Create a new file only when no existing resource fits; do not create +per-attempt reflections or numbered copies. These files persist across fresh +conversations. Update them before finishing your response. + +## Robot and device access + +The robot is **Booster T2 with BrainCo Revo2 hands**, running in **isaaclab**. + +| Device | Type | +|---|---| +| `base` | velocity | +| `head` | joint | +| `head_camera` | rgbd | +| `left_arm` | joint | +| `left_hand` | dexterous_hand | +| `right_arm` | joint | +| `right_hand` | dexterous_hand | +| `world` | world | + +Work in `/workspace`. Use the registered devices in `.kinex/devices/` +and the robot specification in `.kinex/workspace.yaml`. +The Kinex adapter installs and refreshes these resources +for the current episode. Use Kinex's device tools and profiles for action schemas, +units, frames, and feedback. Device `stop` follows its declared affected-device +scope; `roboenv stop --endpoint "$ROBOENV_ENDPOINT"` finalizes the assigned simulation +and returns its final judgment. +Improve existing tools, skills, and memos in place. + diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/media-check.json b/runs/household-v5-astra-high-seed0/18-fetch-book/media-check.json new file mode 100644 index 0000000000000000000000000000000000000000..2b5a08e1c9865885b9abe256e620c1f4719ef063 --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/media-check.json @@ -0,0 +1,89 @@ +{ + "complete": true, + "video_available": true, + "manifest": { + "accepted_samples": 16395, + "captured_samples": 16395, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 16395, + "end_time_s": 1529.0599999988995, + "error": null, + "experimental": true, + "fps": 10, + "overflow_policy": "drop", + "received_samples": 16395, + "represented_samples": 16395, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 50.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 1280 + }, + { + "fov_y": 54.53865439072668, + "height": 720, + "name": "head", + "pose": null, + "source": "head", + "width": 960 + }, + { + "fov_y": 50.0, + "height": 720, + "name": "hand", + "pose": null, + "source": "hand", + "width": 1280 + } + ] + }, + "videos": [ + { + "path": "recording/third_person.mp4", + "bytes": 250075000 + }, + { + "path": "recording/head.mp4", + "bytes": 196808957 + }, + { + "path": "recording/hand.mp4", + "bytes": 265022201 + } + ], + "encoder_complete": true, + "source_samples_complete": true, + "source_sample_coverage": 1.0, + "represented_samples": 16395, + "decoded_views": { + "third_person": { + "decoded_frames": 16395, + "sha256": "eb29d841dd0a0c7ac428fea104b0618a7d02abf5f7ae8c0e850a32bb41b65d30", + "width": 1280, + "height": 720, + "stderr": "" + }, + "head": { + "decoded_frames": 16395, + "sha256": "86f8c355195048dae840831ea5aa66e671f6ad46f7b107a76d18483c1f630d73", + "width": 960, + "height": 720, + "stderr": "" + }, + "hand": { + "decoded_frames": 16395, + "sha256": "7b3ad7c6d0879d5748ec479ad797578a058195e31fe020dbfa96c3d48fd0cac8", + "width": 1280, + "height": 720, + "stderr": "" + } + }, + "decode_passed": true +} diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/native-progress.json b/runs/household-v5-astra-high-seed0/18-fetch-book/native-progress.json new file mode 100644 index 0000000000000000000000000000000000000000..1022d293ec787b8184d3868d9638893b1dffee44 --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/native-progress.json @@ -0,0 +1,73 @@ +{ + "conditions": { + "book_on_tray": false, + "book_picked": true + }, + "task_state": { + "completed": false, + "events": { + "distance": 0.0, + "last_touch": {}, + "picked": [ + "book" + ], + "pulled": 0.0, + "qualified": {}, + "touch_stage": 0 + }, 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Canonical frame: the center of the palm surface, x out of the palm, z toward the fingertips, y toward the pinky. The thumb metacarpal (0 to 1.57 rad) swings the thumb from beside the palm, pointing along y, to straight out of the palm along x; the thumb proximal (0 to 1.03 rad) curls it toward the fingertips. Each finger's proximal joint (0 to 1.41 rad) curls it; the distal joints are not actuated and follow their proximal joint. Open fingertips lie 8 to 10 cm along z; curled ones stay within 3.3 cm of the palm surface. Each joint is position driven with stiffness 3 N·m/rad, its torque capped at 0.5 N·m for the thumb metacarpal, 1.1 N·m for the thumb proximal and 2 N·m for each finger: a joint stopped by an object presses with stiffness times the remaining target angle, so fingers targeted well past contact press the object toward the thumb harder than the thumb can hold it, pushing it out of the hand. 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measurement."},"home":{"left_index_proximal_joint":0.0,"left_middle_proximal_joint":0.0,"left_pinky_proximal_joint":0.0,"left_ring_proximal_joint":0.0,"left_thumb_metacarpal_joint":0.0,"left_thumb_proximal_joint":0.0},"kinematics":{"fk":"driver","frame":"grasp_center","frame_to_reported":[0.0,0.0,0.0,0.0,0.0,0.0,1.0],"ik":null},"method":"introspection","model":{"format":"joints","joints":[{"limits":{"max":1.57,"min":0.0},"max_effort":0.5,"max_velocity":2.6175,"name":"left_thumb_metacarpal_joint","type":"revolute"},{"limits":{"max":1.03,"min":0.0},"max_effort":1.1,"max_velocity":2.5303,"name":"left_thumb_proximal_joint","type":"revolute"},{"limits":{"max":1.41,"min":0.0},"max_effort":2.0,"max_velocity":2.2685,"name":"left_index_proximal_joint","type":"revolute"},{"limits":{"max":1.41,"min":0.0},"max_effort":2.0,"max_velocity":2.2685,"name":"left_middle_proximal_joint","type":"revolute"},{"limits":{"max":1.41,"min":0.0},"max_effort":2.0,"max_velocity":2.2685,"name":"left_ring_proximal_joint","type":"revolute"},{"limits":{"max":1.41,"min":0.0},"max_effort":2.0,"max_velocity":2.2685,"name":"left_pinky_proximal_joint","type":"revolute"}]},"source":"introspected","stop":{"affected_devices":["left_hand"],"behavior":"hold"}},"type":"dexterous_hand"},"right_arm":{"extrinsics":{"calibrated_at":null,"method":"introspection","mount":{"parent":"base","parent_frame":"trunk","rotation_xyzw":[0.0,0.0,0.0,1.0],"translation_m":[0.0,0.0,0.0]},"source":"introspected"},"intrinsics":{"calibrated_at":null,"control":{"limit_handling":"native","mode":"position"},"feedback":{"efforts":false,"velocities":true},"home":{"right_elbow_pitch_joint":-0.0788,"right_elbow_yaw_joint":0.7728,"right_shoulder_pitch_joint":-0.158,"right_shoulder_roll_joint":1.3931,"right_wrist_pitch_joint":-0.1004,"right_wrist_roll_joint":0.1657,"right_wrist_yaw_joint":0.1007},"kinematics":{"fk":"numerical","frame":"palm","frame_to_reported":[0.0,0.0,0.0,0.0,0.0,0.0,1.0],"ik":{"backend":"numerical","budget":{"attempt_time_s":0.1,"max_attempts":5,"max_time_s":0.5},"damping":0.01,"max_iterations":200,"method":"damped_least_squares","position_tolerance_m":0.01,"rotation_tolerance_rad":0.1}},"method":"introspection","model":{"chain":[{"anchor":[0.0,0.0,0.0],"axis":[0.0,1.0,0.0],"joint":0,"origin":[0.0615,-0.11422,0.16458,-0.06975829920664163,0.0,0.0,0.9975639226093718],"reference":0.0},{"anchor":[0.0,0.0,0.0],"axis":[1.0,0.0,0.0],"joint":1,"origin":[0.0,-0.04926,-0.0107,0.06975829920664163,0.0,0.0,0.9975639226093718],"reference":0.0},{"anchor":[0.0,0.0,0.0],"axis":[0.0,1.0,0.0],"joint":2,"origin":[0.00662,-0.1084,0.0,0.0,0.0,0.0,1.0],"reference":0.0},{"anchor":[0.0,0.0,0.0],"axis":[0.0,0.0,1.0],"joint":3,"origin":[0.0059,-0.109,0.0,0.0,0.0,0.0,1.0],"reference":0.0},{"anchor":[0.0,0.0,0.0],"axis":[0.0,1.0,0.0],"joint":4,"origin":[-0.00092228,-0.094,0.0,0.0,0.0,0.0,1.0],"reference":0.0},{"anchor":[0.0,0.0,0.0],"axis":[0.0,0.0,1.0],"joint":5,"origin":[0.0,-0.118,0.0,0.0,0.0,0.0,1.0],"reference":0.0},{"anchor":[0.0,0.0,0.0],"axis":[1.0,0.0,0.0],"joint":6,"origin":[0.0,0.0,0.0,0.0,0.0,0.0,1.0],"reference":0.0},{"origin":[0.0,-0.07,0.0,0.49999999999662686,0.49999999999662686,-0.5000018366025516,0.4999981633974483]},{"origin":[0.0126,0.0,0.047,0.0,0.0,0.0,1.0]}],"format":"serial_chain","joints":[{"limits":{"max":1.710422667,"min":-3.019419606},"max_effort":74.0,"max_velocity":23.45722515,"name":"right_shoulder_pitch_joint","type":"revolute"},{"limits":{"max":1.518436449,"min":-1.518436449},"max_effort":60.0,"max_velocity":23.77138441,"name":"right_shoulder_roll_joint","type":"revolute"},{"limits":{"max":2.059488517,"min":-2.059488517},"max_effort":60.0,"max_velocity":23.77138441,"name":"right_elbow_pitch_joint","type":"revolute"},{"limits":{"max":2.103121749,"min":0.0},"max_effort":60.0,"max_velocity":23.77138441,"name":"right_elbow_yaw_joint","type":"revolute"},{"limits":{"max":2.059488517,"min":-2.059488517},"max_effort":22.0,"max_velocity":18.53539666,"name":"right_wrist_pitch_joint","type":"revolute"},{"limits":{"max":0.748746249,"min":-0.678933079},"max_effort":22.0,"max_velocity":18.53539666,"name":"right_wrist_yaw_joint","type":"revolute"},{"limits":{"max":1.361356817,"min":-0.925024504},"max_effort":22.0,"max_velocity":18.53539666,"name":"right_wrist_roll_joint","type":"revolute"}]},"source":"introspected","stop":{"affected_devices":["right_arm"],"behavior":"hold"}},"type":"joint"},"right_hand":{"extrinsics":{"calibrated_at":null,"method":"introspection","mount":{"parent":"right_arm","parent_frame":"palm","rotation_xyzw":[0.0,0.0,0.0,1.0],"translation_m":[0.0,0.0,0.0]},"source":"introspected"},"intrinsics":{"calibrated_at":null,"control":{"limit_handling":"native","mode":"position"},"feedback":{"efforts":false,"velocities":true},"geometry":{"description":"BrainCo Revo2, five fingers. Canonical frame: the center of the palm surface, x out of the palm, z toward the fingertips, y toward the thumb. The thumb metacarpal (0 to 1.57 rad) swings the thumb from beside the palm, pointing along y, to straight out of the palm along x; the thumb proximal (0 to 1.03 rad) curls it toward the fingertips. Each finger's proximal joint (0 to 1.41 rad) curls it; the distal joints are not actuated and follow their proximal joint. Open fingertips lie 8 to 10 cm along z; curled ones stay within 3.3 cm of the palm surface. Each joint is position driven with stiffness 3 N·m/rad, its torque capped at 0.5 N·m for the thumb metacarpal, 1.1 N·m for the thumb proximal and 2 N·m for each finger: a joint stopped by an object presses with stiffness times the remaining target angle, so fingers targeted well past contact press the object toward the thumb harder than the thumb can hold it, pushing it out of the hand. Points in the canonical frame, m, hand open: thumb root (-0.007, 0.020, -0.019); thumb tip (0.000, 0.097, -0.001); index knuckle (-0.015, 0.030, 0.034); pinky knuckle (-0.015, -0.029, 0.032); index tip (0.008, 0.032, 0.086); middle tip (0.008, 0.011, 0.098); pinky tip (0.007, -0.032, 0.079); with the thumb metacarpal at its upper limit the thumb tip is at (0.071, 0.013, -0.001). grasp_center (driver FK) weights the fingertip pads as SIMPLE does: thumb tip 0.5, index tip 0.25, middle tip 0.25; a geometric reference, not a contact 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18.53539666, "name": "left_wrist_roll_joint", "type": "revolute"}]}, "source": "introspected", "stop": {"affected_devices": ["left_arm"], "behavior": "hold"}}, "type": "joint"}, "left_hand": {"extrinsics": {"calibrated_at": null, "method": "introspection", "mount": {"parent": "left_arm", "parent_frame": "palm", "rotation_xyzw": [0.0, 0.0, 0.0, 1.0], "translation_m": [0.0, 0.0, 0.0]}, "source": "introspected"}, "intrinsics": {"calibrated_at": null, "control": {"limit_handling": "native", "mode": "position"}, "feedback": {"efforts": false, "velocities": true}, "geometry": {"description": "BrainCo Revo2, five fingers. Canonical frame: the center of the palm surface, x out of the palm, z toward the fingertips, y toward the pinky. The thumb metacarpal (0 to 1.57 rad) swings the thumb from beside the palm, pointing along y, to straight out of the palm along x; the thumb proximal (0 to 1.03 rad) curls it toward the fingertips. Each finger's proximal joint (0 to 1.41 rad) curls it; the distal joints are not actuated and follow their proximal joint. Open fingertips lie 8 to 10 cm along z; curled ones stay within 3.3 cm of the palm surface. Each joint is position driven with stiffness 3 N·m/rad, its torque capped at 0.5 N·m for the thumb metacarpal, 1.1 N·m for the thumb proximal and 2 N·m for each finger: a joint stopped by an object presses with stiffness times the remaining target angle, so fingers targeted well past contact press the object toward the thumb harder than the thumb can hold it, pushing it out of the hand. Points in the canonical frame, m, hand open: thumb root (-0.008, -0.019, -0.019); thumb tip (-0.001, -0.097, -0.001); index knuckle (-0.015, -0.030, 0.034); pinky knuckle (-0.015, 0.029, 0.032); index tip (0.008, -0.032, 0.086); middle tip (0.008, -0.011, 0.098); pinky tip (0.007, 0.032, 0.079); with the thumb metacarpal at its upper limit the thumb tip is at (0.069, -0.012, -0.001). grasp_center (driver FK) weights the fingertip pads as SIMPLE does: thumb tip 0.5, index tip 0.25, middle tip 0.25; a geometric reference, not a contact measurement."}, "home": {"left_index_proximal_joint": 0.0, "left_middle_proximal_joint": 0.0, "left_pinky_proximal_joint": 0.0, "left_ring_proximal_joint": 0.0, "left_thumb_metacarpal_joint": 0.0, "left_thumb_proximal_joint": 0.0}, "kinematics": {"fk": "driver", "frame": "grasp_center", "frame_to_reported": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0], "ik": null}, "method": "introspection", "model": {"format": "joints", "joints": [{"limits": {"max": 1.57, "min": 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"introspection", "mount": {"parent": "base", "parent_frame": "trunk", "rotation_xyzw": [0.0, 0.0, 0.0, 1.0], "translation_m": [0.0, 0.0, 0.0]}, "source": "introspected"}, "intrinsics": {"calibrated_at": null, "control": {"limit_handling": "native", "mode": "position"}, "feedback": {"efforts": false, "velocities": true}, "home": {"right_elbow_pitch_joint": -0.0788, "right_elbow_yaw_joint": 0.7728, "right_shoulder_pitch_joint": -0.158, "right_shoulder_roll_joint": 1.3931, "right_wrist_pitch_joint": -0.1004, "right_wrist_roll_joint": 0.1657, "right_wrist_yaw_joint": 0.1007}, "kinematics": {"fk": "numerical", "frame": "palm", "frame_to_reported": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0], "ik": {"backend": "numerical", "budget": {"attempt_time_s": 0.1, "max_attempts": 5, "max_time_s": 0.5}, "damping": 0.01, "max_iterations": 200, "method": "damped_least_squares", "position_tolerance_m": 0.01, "rotation_tolerance_rad": 0.1}}, "method": "introspection", "model": {"chain": [{"anchor": [0.0, 0.0, 0.0], "axis": [0.0, 1.0, 0.0], "joint": 0, "origin": [0.0615, -0.11422, 0.16458, -0.06975829920664163, 0.0, 0.0, 0.9975639226093718], "reference": 0.0}, {"anchor": [0.0, 0.0, 0.0], "axis": [1.0, 0.0, 0.0], "joint": 1, "origin": [0.0, -0.04926, -0.0107, 0.06975829920664163, 0.0, 0.0, 0.9975639226093718], "reference": 0.0}, {"anchor": [0.0, 0.0, 0.0], "axis": [0.0, 1.0, 0.0], "joint": 2, "origin": [0.00662, -0.1084, 0.0, 0.0, 0.0, 0.0, 1.0], "reference": 0.0}, {"anchor": [0.0, 0.0, 0.0], "axis": [0.0, 0.0, 1.0], "joint": 3, "origin": [0.0059, -0.109, 0.0, 0.0, 0.0, 0.0, 1.0], "reference": 0.0}, {"anchor": [0.0, 0.0, 0.0], "axis": [0.0, 1.0, 0.0], "joint": 4, "origin": [-0.00092228, -0.094, 0.0, 0.0, 0.0, 0.0, 1.0], "reference": 0.0}, {"anchor": [0.0, 0.0, 0.0], "axis": [0.0, 0.0, 1.0], "joint": 5, "origin": [0.0, -0.118, 0.0, 0.0, 0.0, 0.0, 1.0], "reference": 0.0}, {"anchor": [0.0, 0.0, 0.0], "axis": [1.0, 0.0, 0.0], "joint": 6, "origin": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0], "reference": 0.0}, {"origin": [0.0, -0.07, 0.0, 0.49999999999662686, 0.49999999999662686, -0.5000018366025516, 0.4999981633974483]}, {"origin": [0.0126, 0.0, 0.047, 0.0, 0.0, 0.0, 1.0]}], "format": "serial_chain", "joints": [{"limits": {"max": 1.710422667, "min": -3.019419606}, "max_effort": 74.0, "max_velocity": 23.45722515, "name": "right_shoulder_pitch_joint", "type": "revolute"}, {"limits": {"max": 1.518436449, "min": -1.518436449}, "max_effort": 60.0, "max_velocity": 23.77138441, "name": "right_shoulder_roll_joint", "type": "revolute"}, {"limits": {"max": 2.059488517, "min": -2.059488517}, "max_effort": 60.0, "max_velocity": 23.77138441, "name": "right_elbow_pitch_joint", "type": "revolute"}, {"limits": {"max": 2.103121749, "min": 0.0}, "max_effort": 60.0, "max_velocity": 23.77138441, "name": "right_elbow_yaw_joint", "type": "revolute"}, {"limits": {"max": 2.059488517, "min": -2.059488517}, "max_effort": 22.0, "max_velocity": 18.53539666, "name": "right_wrist_pitch_joint", "type": "revolute"}, {"limits": {"max": 0.748746249, "min": -0.678933079}, "max_effort": 22.0, "max_velocity": 18.53539666, "name": "right_wrist_yaw_joint", "type": "revolute"}, {"limits": {"max": 1.361356817, "min": -0.925024504}, "max_effort": 22.0, "max_velocity": 18.53539666, "name": "right_wrist_roll_joint", "type": "revolute"}]}, "source": "introspected", "stop": {"affected_devices": ["right_arm"], "behavior": "hold"}}, "type": "joint"}, "right_hand": {"extrinsics": {"calibrated_at": null, "method": "introspection", "mount": {"parent": "right_arm", "parent_frame": "palm", "rotation_xyzw": [0.0, 0.0, 0.0, 1.0], "translation_m": [0.0, 0.0, 0.0]}, "source": "introspected"}, "intrinsics": {"calibrated_at": null, "control": {"limit_handling": "native", "mode": "position"}, "feedback": {"efforts": false, "velocities": true}, "geometry": {"description": "BrainCo Revo2, five fingers. Canonical frame: the center of the palm surface, x out of the palm, z toward the fingertips, y toward the thumb. The thumb metacarpal (0 to 1.57 rad) swings the thumb from beside the palm, pointing along y, to straight out of the palm along x; the thumb proximal (0 to 1.03 rad) curls it toward the fingertips. Each finger's proximal joint (0 to 1.41 rad) curls it; the distal joints are not actuated and follow their proximal joint. Open fingertips lie 8 to 10 cm along z; curled ones stay within 3.3 cm of the palm surface. Each joint is position driven with stiffness 3 N·m/rad, its torque capped at 0.5 N·m for the thumb metacarpal, 1.1 N·m for the thumb proximal and 2 N·m for each finger: a joint stopped by an object presses with stiffness times the remaining target angle, so fingers targeted well past contact press the object toward the thumb harder than the thumb can hold it, pushing it out of the hand. Points in the canonical frame, m, hand open: thumb root (-0.007, 0.020, -0.019); thumb tip (0.000, 0.097, -0.001); index knuckle (-0.015, 0.030, 0.034); pinky knuckle (-0.015, -0.029, 0.032); index tip (0.008, 0.032, 0.086); middle tip (0.008, 0.011, 0.098); pinky tip (0.007, -0.032, 0.079); with the thumb metacarpal at its upper limit the thumb tip is at (0.071, 0.013, -0.001). grasp_center (driver FK) weights the fingertip pads as SIMPLE does: thumb tip 0.5, index tip 0.25, middle tip 0.25; a geometric reference, not a contact measurement."}, "home": {"right_index_proximal_joint": 0.0, "right_middle_proximal_joint": 0.0, "right_pinky_proximal_joint": 0.0, "right_ring_proximal_joint": 0.0, "right_thumb_metacarpal_joint": 0.0, "right_thumb_proximal_joint": 0.0}, "kinematics": {"fk": "driver", "frame": "grasp_center", "frame_to_reported": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0], "ik": null}, "method": "introspection", "model": {"format": "joints", "joints": [{"limits": {"max": 1.57, "min": 0.0}, "max_effort": 0.5, "max_velocity": 2.6175, "name": "right_thumb_metacarpal_joint", "type": "revolute"}, {"limits": {"max": 1.03, "min": 0.0}, "max_effort": 1.1, "max_velocity": 2.5303, "name": "right_thumb_proximal_joint", "type": "revolute"}, {"limits": {"max": 1.41, "min": 0.0}, "max_effort": 2.0, "max_velocity": 2.2685, "name": "right_index_proximal_joint", "type": "revolute"}, {"limits": {"max": 1.41, "min": 0.0}, "max_effort": 2.0, "max_velocity": 2.2685, "name": "right_middle_proximal_joint", "type": "revolute"}, {"limits": {"max": 1.41, "min": 0.0}, "max_effort": 2.0, "max_velocity": 2.2685, "name": "right_ring_proximal_joint", "type": "revolute"}, {"limits": {"max": 1.41, "min": 0.0}, "max_effort": 2.0, "max_velocity": 2.2685, "name": "right_pinky_proximal_joint", "type": "revolute"}]}, "source": "introspected", "stop": {"affected_devices": ["right_hand"], "behavior": "hold"}}, "type": "dexterous_hand"}, "world": {"intrinsics": {"bounds": null, "frames": {}, "source": "introspected", "surfaces": []}, "type": "world"}}, "events": [{"args": {"mode": "locomotion", "velocity": {"vx": -0.25, "vy": 0, "wz": 0}}, "device": "base", "frame": 1024, "op": "write"}, {"args": {"target": [1, -0.25]}, "device": "head", "frame": 1025, "op": "write"}, {"device": "base", "frame": 1124, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0, "vy": 0, "wz": 0.45}}, "device": "base", "frame": 1230, "op": "write"}, {"args": {"target": [0, -0.25]}, "device": "head", "frame": 1231, "op": "write"}, {"device": "base", "frame": 1570, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0, "vy": 0, "wz": 0.45}}, "device": "base", "frame": 1737, "op": "write"}, {"device": "base", "frame": 1912, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0.35, "vy": 0, "wz": 0}}, "device": "base", "frame": 2691, "op": "write"}, {"device": "base", "frame": 2846, "op": "stop", "reason": "requested"}, {"args": {"target": [-0.45, 0.25]}, "device": "head", "frame": 3167, "op": "write"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0, "vy": 0, "wz": -0.35}}, "device": "base", "frame": 3626, "op": "write"}, {"device": "base", "frame": 3706, "op": "stop", "reason": "requested"}, {"args": {"target": [0, 0.25]}, "device": "head", "frame": 3744, "op": "write"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0.3, "vy": -0.15, "wz": 0}}, "device": "base", "frame": 4315, "op": "write"}, {"device": "base", "frame": 4375, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0, "vy": -0.35, "wz": 0}}, "device": "base", "frame": 6430, "op": "write"}, {"device": "base", "frame": 6495, "op": "stop", "reason": "requested"}, {"args": {"target": [0.38866270368833067, 1.242217316316198, 0.08372320060749325, 1.6298386768124704, 1.2082203813527115, -0.026952051868975868, -0.3562587952669192]}, "device": "right_arm", "frame": 7170, "op": "write"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0, "vy": 0, "wz": -0.4}}, "device": "base", "frame": 8192, "op": "write"}, {"device": "base", "frame": 8302, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0, "vy": 0.4, "wz": 0}}, "device": "base", "frame": 8741, "op": "write"}, {"device": "base", "frame": 8811, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0.2, "vy": 0.3, "wz": 0}}, "device": "base", "frame": 9280, "op": "write"}, {"device": "base", "frame": 9335, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0.25, "vy": 0.4, "wz": 0}}, "device": "base", "frame": 9880, "op": "write"}, {"device": "base", "frame": 9945, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0.3, "vy": 0, "wz": 0}}, "device": "base", "frame": 10840, "op": "write"}, {"device": "base", "frame": 10915, "op": "stop", "reason": "requested"}, {"device": "left_arm", "frame": 11127, "op": "stop", "reason": "requested"}, {"device": "base", "frame": 11127, "op": "stop", "reason": "requested"}, {"device": "right_hand", "frame": 11127, "op": "stop", "reason": "requested"}, {"device": "head", "frame": 11127, "op": "stop", "reason": "requested"}, {"device": "right_arm", "frame": 11127, "op": "stop", "reason": "requested"}, {"device": "left_hand", "frame": 11127, "op": "stop", "reason": "requested"}, {"args": {"target": [0, 0.4]}, "device": "head", "frame": 11292, "op": "write"}, {"args": {"target": [0.03605224255738781, 1.4651864532402095, 0.7690869859599585, 1.0145260180213913, 1.0120283324896162, -0.5487774067421317, -0.5452520626704107]}, "device": "right_arm", "frame": 12174, "op": "write"}, {"args": {"target": [0, 0, 0.4, 0.4, 0.4, 0.4]}, "device": "right_hand", "frame": 12309, "op": "write"}, {"args": {"target": [-0.35416110852053645, 1.4552324870048072, 1.6402454594771547, 0.6791268224965881, -0.13014278659877482, -0.5613944933928702, -0.925024504]}, "device": "right_arm", "frame": 12557, "op": "write"}, {"args": {"target": [0, 0, 0, 0, 0, 0]}, "device": "right_hand", "frame": 14307, "op": "write"}, {"args": {"target": [-0.3386080099401637, 1.3002283150042022, 1.4529833045589087, 0.9495284461040795, -0.9028280198585563, 0.39598655110462333, -0.8703593451711807]}, "device": "right_arm", "frame": 14310, "op": "write"}, {"args": {"target": [-0.31605346296324055, 1.3558338159906416, 1.41499616976691, 0.5200401494064107, -1.1360508453762996, 0.6708540239374055, -0.44508898214556125]}, "device": "right_arm", "frame": 14619, "op": "write"}, {"args": {"target": [-0.6130341664304284, 1.3693000288396868, 1.1230456524443313, 0.9596705412118102, -1.8843107527581475, -0.678933079, -0.925024504]}, "device": "right_arm", "frame": 15914, "op": "write"}, {"args": {"target": [-0.06314947716562794, 1.2532224099282705, 0.9114769702824452, 1.5296298116766045, -1.416989184110991, -0.4345507637685737, -0.925024504]}, "device": "right_arm", "frame": 16514, "op": "write"}, {"args": {"target": [-0.2822750140973346, 0.41747102367242733, 1.3289839929340392, 1.821068633164435, -1.1269109439528509, 0.3504089057661333, -0.7586858901599373]}, "device": "right_arm", "frame": 16924, "op": "write"}, {"args": {"mode": "locomotion", "velocity": {"vx": -0.25, "vy": 0, "wz": 0}}, "device": "base", "frame": 17059, "op": "write"}, {"device": "base", "frame": 17124, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0.3, "vy": 0.3, "wz": 0}}, "device": "base", "frame": 18171, "op": "write"}, {"device": "base", "frame": 18246, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0.25, "vy": 0.3, "wz": 0}}, "device": "base", "frame": 18713, "op": "write"}, {"device": "base", "frame": 18753, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0.3, "vy": 0.3, "wz": 0}}, "device": "base", "frame": 19019, "op": "write"}, {"device": "base", "frame": 19099, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0, "vy": 0, "wz": 0.35}}, "device": "base", "frame": 19940, "op": "write"}, {"device": "base", "frame": 20000, "op": "stop", "reason": "requested"}, {"device": "left_hand", "frame": 20385, "op": "stop", "reason": "requested"}, {"device": "base", "frame": 20385, "op": "stop", "reason": "requested"}, {"device": "left_arm", "frame": 20385, "op": "stop", "reason": "requested"}, {"device": "head", "frame": 20385, "op": "stop", "reason": "requested"}, {"device": "right_hand", "frame": 20385, "op": "stop", "reason": "requested"}, {"device": "right_arm", "frame": 20385, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": -0.3, "vy": 0, "wz": 0}}, "device": "base", "frame": 20514, "op": "write"}, {"device": "base", "frame": 20614, "op": "stop", "reason": "requested"}, {"args": {"mode": 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"reason": "requested"}, {"args": {"target": [-0.6334233589234175, -1.2129647170797144, 0.6466421449729836, -0.5212433652498586, -0.8399079821582881, 0.678933079, 0.0654855307975164]}, "device": "left_arm", "frame": 23565, "op": "write"}, {"args": {"target": [-0.7037833525255753, -1.278623694000128, 1.0232530335192593, -0.6181546412543859, -1.3604694635876557, 0.6758944139524575, 0.39015067550986837]}, "device": "left_arm", "frame": 24568, "op": "write"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0.25, "vy": 0, "wz": 0}}, "device": "base", "frame": 24703, "op": "write"}, {"device": "base", "frame": 24763, "op": "stop", "reason": "requested"}, {"args": {"target": [-0.23495953192813465, -1.1118242119861947, 0.7940383563728702, -1.2979418289879392, -1.2840329581979997, 0.5975275984457761, 0.8218495663316594]}, "device": "left_arm", "frame": 25054, "op": "write"}, {"args": {"target": [0.299330231508831, -0.6231540533049705, 0.2855483470078579, -2.015699353448335, -1.5368564183147473, 0.678933079, 0.8930487442849118]}, "device": "left_arm", "frame": 25817, "op": "write"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0, "vy": 0.5, "wz": 0}}, "device": "base", "frame": 25951, "op": "write"}, {"device": "base", "frame": 26026, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0, "vy": 0, "wz": 0.4}}, "device": "base", "frame": 26417, "op": "write"}, {"device": "base", "frame": 26517, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": -0.3, "vy": 0, "wz": 0}}, "device": "base", "frame": 26980, "op": "write"}, {"device": "base", "frame": 27105, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0, "vy": 0, "wz": 0.4}}, "device": "base", "frame": 27144, "op": "write"}, {"device": "base", "frame": 27244, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0, "vy": 0, "wz": 0.4}}, "device": "base", "frame": 27708, "op": "write"}, {"device": "base", "frame": 27883, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0.3, "vy": 0, "wz": 0}}, "device": "base", "frame": 28371, "op": "write"}, {"device": "base", "frame": 28466, "op": "stop", "reason": "requested"}, {"device": "base", "frame": 28685, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": -0.2, "vy": 0, "wz": 0}}, "device": "base", "frame": 28837, "op": "write"}, {"device": "base", "frame": 28877, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": -0.2, "vy": 0, "wz": 0}}, "device": "base", "frame": 29106, "op": "write"}, {"device": "base", "frame": 29151, "op": "stop", "reason": "requested"}, {"args": {"mode": "locomotion", "velocity": {"vx": 0.18, "vy": 0, "wz": 0}}, "device": "base", "frame": 30151, "op": "write"}, {"device": "base", "frame": 30184, "op": "stop", "reason": "requested"}, {"args": {"mode": 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Text host paths are redacted; original bytes retained in local raw evidence. No resources were supplied to other formal attempts.", + "files": { + ".kinex/tools/book_transfer.py": { + "bytes": 2689, + "sha256": "83690d2aa7d7e173a6fddc0d951e5a74d5a073a6b8803d70807ea72aefdb2f60", + "category": "tools", + "download": "resources/.kinex/tools/book_transfer.py" + }, + ".kinex/tools/rgbd_tracking.py": { + "bytes": 2400, + "sha256": "7d5fc93d4df4bf832fda7939d998b9206106d6b54ef9f37911df953766998c9f", + "category": "tools", + "download": "resources/.kinex/tools/rgbd_tracking.py" + }, + ".kinex/memos/t2-fetch-book.md": { + "bytes": 4230, + "sha256": "58853f21b324e11095281ac196a5646bf9edb9e33ae87ec94d29e53089b6d1bb", + "category": "memos", + "download": "resources/.kinex/memos/t2-fetch-book.md" + } + } +} diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/resources.tar.gz b/runs/household-v5-astra-high-seed0/18-fetch-book/resources.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..6d9ffa75ad8dc9f13bcad56c8cb6ed00d4d28b7e --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/resources.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d87be3940725e39d193c49194a00b46bcfe5a0512998e96d968c4c333a18c29b +size 4300 diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/resources/.kinex/memos/t2-fetch-book.md b/runs/household-v5-astra-high-seed0/18-fetch-book/resources/.kinex/memos/t2-fetch-book.md new file mode 100644 index 0000000000000000000000000000000000000000..b1acfd892d225f191583a40cd6dc8ba791ab1bae --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/resources/.kinex/memos/t2-fetch-book.md @@ -0,0 +1,31 @@ +# T2 fetch-book: operational lessons + +Resources: `tools/book_transfer.py` (RGBD pixel measurements in base frame, bounded base moves, arm IK/write/FK, concurrent two-arm motion); `tools/rgbd_tracking.py` (experimental static-scene tracking, NOT a reliable navigation source yet). + +## Interface and geometry +- Inspect current profiles and `roboenv describe` each episode; do not reset. Arm writes become whole-body palm goals, not exact joint tracking. Check measured palm FK, not command acceptance. +- Palm axes: +X out of palm, +Z fingertips. Open fingertips extend ~8–10 cm. Read current hand geometry. +- Observed base height ~0.98 m. Lower shelf/book top roughly base Z=-0.30 m; tray floor ~-0.22 m. These are episode observations, not persistent calibration. +- Low palm targets often undertracked by 3–7 cm. Some IK-valid targets at Z=-0.30 were rejected as outside trained workspace. Floor pickup is beyond this standing embodiment's available reach; avoid dropping the book. +- Camera head pitch +0.3/+0.4 sees manipulation, -0.25 sees navigation. Upper shelf hides the book when too close. Wait for head arrival before using image pixels. +- Base responses are nonlinear and have settling/rebound; negative VX in particular needs ~2 s settling. Sample measured feedback and recapture after each small move. Do not infer displacement from velocity*duration. Arm motion can change body pose, so remeasure object coordinates. + +## Partial method that actually lifted the book +A bimanual side squeeze with OPEN fingers pointing mostly down lifted the book ~9 cm and carried it away from the shelf. This is fragile and was NOT successfully completed. +- Position near shelf so book's front edge is ~0.40–0.45 m forward, centered laterally. Long book edge can run across robot Y. +- Palm orientation candidates: Rz(yaw) * Ry(-10 to -30 deg) * quaternion([+sqrt(.5),sqrt(.5),0,0] right / [-sqrt(.5),sqrt(.5),0,0] left). Fingers point down/forward, palm normals face inward. +- An observed side-contact configuration used right palm goal [0.43,-0.115,-0.24], yaw 15 deg, tilt -30 deg; left [0.40,0.08,-0.25], yaw 0, tilt -30. These are NOT universal coordinates; measure current book edges first. +- Concurrent lifting/backward translation produced book top Z~-0.21 versus shelf top~-0.30, visually verified between hands. Both hand actuators stayed at zero/open. + +## Critical failure to avoid +The book eventually slipped during a base turn near the desk and landed on the floor; the task failed. +**Preserve commanded inward squeeze preload during every lift/transport transform. Do not replace commanded lateral goals with measured contact-deflected palm positions.** Doing so widens the commanded grasp and removes its force. Several moves in this attempt were rebased on measured FK; that is a likely contributor to the eventual loss. The book progressively tilted vertical during transport. Stop and stabilize before navigating if this occurs. +- Establish a supported/thumb-assisted grasp or maintain sufficient bimanual inward compression before long transport. Do not assume a visually suspended book is a durable grasp. +- Transform both commanded palm poses by the same rigid motion, solve BOTH IKs before either write, submit concurrently, verify book pose afterwards. Preserve contact geometry and preload. +- Reach high poses by moving hands slightly forward as well as up; pure raising/retraction caused IK failures, while +0.06 X,+0.08 Z succeeded with appropriate seeds. +- Approach the reading desk from its open LONG side, like the initial camera view. The short end leaves the tray center too far beyond arm reach. Plan the return approach before lifting; avoid late sharp turns while holding a friction-only grasp. + +## Tracking caution +RGBD SIFT matching initially matched stationary-in-robot hands instead of the scene and falsely estimated zero motion. Current helper masks the bottom image and requires >=15 inliers, but large occlusions still fail. Never propagate object coordinates on failed/weak odometry, nor treat a contacted object as static. + +Finalize with `roboenv status --endpoint "$ROBOENV_ENDPOINT" --json`, then `roboenv stop --endpoint "$ROBOENV_ENDPOINT" --json`; only stop returns final judgment. diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/resources/.kinex/tools/book_transfer.py b/runs/household-v5-astra-high-seed0/18-fetch-book/resources/.kinex/tools/book_transfer.py new file mode 100644 index 0000000000000000000000000000000000000000..3994a08043617a34860a460bb7d859a152dd3067 --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/resources/.kinex/tools/book_transfer.py @@ -0,0 +1,61 @@ +"""Reusable RGBD measurement and bounded T2 motion helpers (run via Kinex exec).""" +import numpy as np +from scipy.spatial.transform import Rotation as R +from kinex import device, call, profile +from kinex.camera import ray, read_depth + +def observe(pixels=()): + p=profile('head_camera')['intrinsics'] + shot=device('head_camera','read',{'output':'file'}) + w,h,raw=read_depth(shot['depth_file'],p['depth']) + depth=np.array(raw).reshape(h,w) + tf=call('relative_pose',child={'frame':'head_camera'},parent={'frame':'base'})['pose'] + rot=R.from_quat(tf[3:]) + pts=[] + for u,v in pixels: + patch=depth[max(0,v-2):v+3,max(0,u-2):u+3] + z=float(np.median(patch[patch!=p['depth']['invalid_value']]))*p['depth']['scale_m_per_unit'] + assert p['depth']['registration']=='color' and p['depth']['quantity']=='z' + assert p['depth']['valid_range_m']['min']<=z<=p['depth']['valid_range_m']['max'] + xyz=rot.apply(np.array(ray(p['color'],u,v))*z)+tf[:3] + pts.append(xyz.tolist()) + return shot,pts + +def move(vx=0,vy=0,wz=0,t=1): + state=device('base') + if state.get('faults'): raise RuntimeError(state) + device('base','write',{'mode':'locomotion','velocity':{'vx':vx,'vy':vy,'wz':wz},'duration_s':t}) + device('world','wait',{'duration_s':t+2.0}) + state=device('base') + if state.get('faults'): device('base','stop'); raise RuntimeError(state) + return state + +def palm(side='right'): + s=device(side+'_arm') + if s.get('faults'): device(side+'_arm','stop'); raise RuntimeError(s) + return device(side+'_arm','fk',{'joints':s['positions']}) + +def arm(pose,side='right',duration=2): + s=device(side+'_arm') + if s.get('faults'): raise RuntimeError(s) + sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']}) + print('ik',sol) + joints=sol['joints'] if 'joints' in sol else sol['positions'] + device(side+'_arm','write',{'actions':[joints],'duration_s':duration}) + device('world','wait',{'duration_s':duration+0.6}) + print('measured palm',palm(side)) + +def dual(poses,duration=2): + from kinex import devices + calls=[] + for side,pose in poses.items(): + s=device(side+'_arm') + if s.get('faults'): raise RuntimeError(s) + sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']}) + calls.append({'deviceID':side+'_arm','action':'write','args':{'actions':[sol['joints']],'duration_s':duration}}) + result=devices(calls) + if not all(r['ok'] for r in result['results']): + for side in poses: device(side+'_arm','stop') + raise RuntimeError(result) + device('world','wait',{'duration_s':duration+1}) + for side in poses: print(side,palm(side)) diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/resources/.kinex/tools/rgbd_tracking.py b/runs/household-v5-astra-high-seed0/18-fetch-book/resources/.kinex/tools/rgbd_tracking.py new file mode 100644 index 0000000000000000000000000000000000000000..aafaba554863a06d6ca9657a85a8b704449fbf78 --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/resources/.kinex/tools/rgbd_tracking.py @@ -0,0 +1,50 @@ +"""Static-scene RGBD odometry for short visually verified robot movements. +Estimates transform between successive camera captures; do not treat moved objects as static. +""" +import cv2 +import numpy as np +from scipy.spatial.transform import Rotation as R +from kinex import device, profile, call +from kinex.camera import read_depth, ray + +def capture(): + p=profile('head_camera')['intrinsics'] + s=device('head_camera','read',{'output':'file'}) + w,h,d=read_depth(s['depth_file'],p['depth']) + tf=call('relative_pose',child={'frame':'head_camera'},parent={'frame':'base'})['pose'] + return {'shot':s,'depth':np.array(d).reshape(h,w)*p['depth']['scale_m_per_unit'],'tf':tf,'profile':p,'gray':cv2.imread(s['file'],0)} + +def points(cap,uv): + uv=np.array(uv);ij=np.rint(uv).astype(int) + z=cap['depth'][ij[:,1],ij[:,0]] + return np.array([ray(cap['profile']['color'],u,v) for u,v in uv])*z[:,None] + +def rigid(a,b): + ac=a.mean(0);bc=b.mean(0) + u,s,v=np.linalg.svd((a-ac).T@(b-bc));rot=v.T@u.T + if np.linalg.det(rot)<0:v[-1]*=-1;rot=v.T@u.T + return rot,bc-rot@ac + +def motion(old,new): + det=cv2.SIFT_create(nfeatures=2000) + mask=np.zeros_like(old['gray']);mask[:300,:]=255 + k1,d1=det.detectAndCompute(old['gray'],mask);k2,d2=det.detectAndCompute(new['gray'],mask) + pairs=cv2.BFMatcher().knnMatch(d1,d2,k=2) + m=[x for x,y in pairs if x.distance<.7*y.distance] + a=points(old,[k1[x.queryIdx].pt for x in m]);b=points(new,[k2[x.trainIdx].pt for x in m]) + good=(a[:,2]>.05)&(b[:,2]>.05)&(a[:,2]<5)&(b[:,2]<5);a=a[good];b=b[good] + if len(a)<8:raise ValueError('insufficient static correspondences') + rng=np.random.default_rng(5);best=[] + for _ in range(400): + ix=rng.choice(len(a),3,replace=False);rot,t=rigid(a[ix],b[ix]);e=np.linalg.norm(a@rot.T+t-b,axis=1);ix=np.where(e<.015)[0] + if len(ix)>len(best):best=ix + if len(best)<15:raise ValueError('odometry fit failed: insufficient static-scene support') + rot,t=rigid(a[best],b[best]);err=np.linalg.norm(a[best]@rot.T+t-b[best],axis=1) + print('static odometry',{'inliers':len(best),'matches':len(a),'rms':float(np.sqrt(np.mean(err**2)))}) + return rot,t + +def transfer(xyz,old,new): + rot,t=motion(old,new) + cam_old=R.from_quat(old['tf'][3:]).inv().apply(np.asarray(xyz)-old['tf'][:3]) + cam_new=rot@cam_old+t + return R.from_quat(new['tf'][3:]).apply(cam_new)+new['tf'][:3] diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/review.json b/runs/household-v5-astra-high-seed0/18-fetch-book/review.json new file mode 100644 index 0000000000000000000000000000000000000000..2d0255450cbca2be28924b24119af2295dddfe2f --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/review.json @@ -0,0 +1,87 @@ +{ + "schema": "t2/model-evidence-review/1", + "task": "isaaclab/t2-fetch-book", + "slot": "18-fetch-book", + "trial": "18-fetch-book__iCcjmKr", + "seed": 0, + "instruction_original": true, + "native_success": false, + "owner_valid": true, + "episode_reason": "stopped", + "task_yaml_sha256": "1962b10e348e8955b8247bd11c93f445ad4d157faa606e7d9215cf2b5b2306cc", + "native_budget": { + "max": null, + "unit": "action_frames", + "used": 76453 + }, + "native_steps": 76453, + "fallen": false, + "native_conditions": { + "book_on_tray": false, + "book_picked": true + }, + "native_task_state": { + "completed": false, + "events": { + "distance": 0.0, + "last_touch": {}, + "picked": [ + "book" + ], + "pulled": 0.0, + "qualified": {}, + "touch_stage": 0 + }, + "metrics": { + "completed_stages": 0, + "conditions": { + "book_on_tray": false, + "book_picked": true + }, + "settled_for_s": 0.0, + "total_stages": 1 + }, + "since": null, + "stage": 0, + "version": 5 + }, + "responses": 187, + "requests": 187, + "model_tool_calls": 192, + "tool_errors": 7, + "native_operations": { + "write:base": 74, + "write:head": 9, + "stop:base": 79, + "write:right_arm": 22, + "stop:left_arm": 4, + "stop:right_hand": 4, + "stop:head": 4, + "stop:right_arm": 4, + "stop:left_hand": 4, + "write:right_hand": 6, + "write:left_arm": 10, + "write:left_hand": 1 + }, + "delivered_unique_images": 102, + "session_images_match_payload": true, + "models": [ + "gpt-6-astra" + ], + "efforts": [ + "high" + ], + "tiers": [ + "default" + ], + "usage_complete": true, + "unresolved_attempts": [], + "device_bundle_differences": [], + "media_complete": true, + "media_decode_passed": true, + "parent_exception": null, + "step_exceptions": [], + "replay_passed": null, + "attempt": 1, + "scope": "One retained seed-0 attempt. Explicitly authorized replacements have separate paths and preserve the previous attempt. This does not establish multi-seed reliability." +} diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/task-instruction.txt b/runs/household-v5-astra-high-seed0/18-fetch-book/task-instruction.txt new file mode 100644 index 0000000000000000000000000000000000000000..357ad3cbdad82553d4b6312868b51335cdb03999 --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/task-instruction.txt @@ -0,0 +1 @@ +Go to the bookcase, pick up the book lying on the lower open shelf, and bring it back to the center of the tray on the reading desk. Let go and leave it resting there. diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/task.yaml b/runs/household-v5-astra-high-seed0/18-fetch-book/task.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6624db734b0a18a5bfd23ea5fb50df70ffa5c6b4 --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/task.yaml @@ -0,0 +1,44 @@ +id: isaaclab/t2-fetch-book +robot: isaaclab/isaaclab-booster-t2 +instruction: Go to the bookcase, pick up the book lying on the lower open shelf, and + bring it back to the center of the tray on the reading desk. Let go and leave it + resting there. +backend_kwargs: + task_name: t2-household + max_steps: null + task_spec: + version: 5 + scene: hssd_household + start: + - 4.47594 + - -3.71457 + - -3.141592653589793 + items: + book: + model: book + pos: + - 4.8 + - -1.99 + - 0.65 + yaw: 3.141592653589793 + fixed: false + tray: + model: tray + pos: + - 3.72844 + - -3.71457 + - 0.7493 + yaw: -1.5707963267948966 + fixed: true + boxes: [] + articulated: {} + stages: + - - kind: fetch + item: book + source: book_shelf + target: tray + hold_s: 0.35 +seed: 0 +budget_mode: practice +execution_mode: realtime +stop_on_success: true diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/terminal.json b/runs/household-v5-astra-high-seed0/18-fetch-book/terminal.json new file mode 100644 index 0000000000000000000000000000000000000000..2a369b0a5c3cf2118700ae81a1361df80ad817e7 --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/terminal.json @@ -0,0 +1,48 @@ +{ + "evidence": { + "complete": true, + "files": { + "final-observation.json": { + "complete": true, + "path": "final-observation.json", + "sha256": "c26f7cab314acc55b309ee8111248c4e399542c82829aafe7834f5fe30831ffc" + } + }, + "schema": "roboenv/terminal-evidence/1" + }, + "seed": 0, + "status": { + "budget": { + "max": null, + "unit": "action_frames", + "used": 76453 + }, + "capabilities": { + "bounded_episodes": true, + "terminal_feedback": true + }, + "generation": 0, + "reason": "stopped", + "schema": "roboenv/simulation-status/1", + "session": "b5a982b6a4c0d052", + "simulation_time_s": null, + "state": "terminal", + "success": false, + "terminal": true + }, + "task": "isaaclab/t2-fetch-book", + "verdict": { + "budget": { + "max": null, + "unit": "action_frames", + "used": 76453 + }, + "completed": false, + "detail": {}, + "latched": false, + "raw_score": 0.0, + "reward": 0.0, + "submitted": true, + "tier": 0 + } +} diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/third_person.jpg b/runs/household-v5-astra-high-seed0/18-fetch-book/third_person.jpg new file mode 100644 index 0000000000000000000000000000000000000000..bacffa3505b7419034a1cb046ba2d82a1682fd07 --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/third_person.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:90d5df3cc546c6822948136325714046afb4129d7242f70c66b3611dd3e914fe +size 58322 diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/third_person.mp4 b/runs/household-v5-astra-high-seed0/18-fetch-book/third_person.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..c67c4b719539d3a7c90aa6fb1c1a5ff62e2f9a18 --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/third_person.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eb29d841dd0a0c7ac428fea104b0618a7d02abf5f7ae8c0e850a32bb41b65d30 +size 250075000 diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/transcript.json b/runs/household-v5-astra-high-seed0/18-fetch-book/transcript.json new file mode 100644 index 0000000000000000000000000000000000000000..4fd6adb7313b133730b96ca354e8a4531028a64c --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/transcript.json @@ -0,0 +1,5495 @@ +{ + "schema": "t2/public-transcript/1", + "excluded": [ + "hidden reasoning", + "credentials", + "raw environment" + ], + "messages": [ + { + "role": "user", + "content": [ + { + "type": "text", + "text": "# Task: isaaclab/t2-fetch-book\n\nGo to the bookcase, pick up the book lying on the lower open shelf, and bring it back to the center of the tray on the reading desk. Let go and leave it resting there.\n\n## Work to do\n\nSolve the task efficiently. The simulation is already running.\nFollow the task instruction above, including its completion requirements.\nUse `roboenv describe --endpoint \"$ROBOENV_ENDPOINT\"` to inspect the environment\nand public task context. Its native instruction is reference text; the task\ninstruction above already includes this episode's required assignments.\nReuse your saved tools, skills, and memos.\n\n## Limits\n\nYou have no limit on native action frames. Execution mode is `realtime`: physics continues during reasoning and tool calls. The world's `wait` action waits for the already-running simulation; it does not grant additional time or pause physics. Buffered motion stops at its declared duration.\nJoint and gripper writes use `actions` and `duration_s` to submit a buffer and\nreturn immediately. Concurrent waits share the same clock.\nReads and writes do not advance physics by themselves. Submission or\nelapsed time does not prove arrival; inspect measured feedback. Device stop\naffects only its declared scope without ending the episode. The safety timeout is\n3600 seconds, including updates to saved resources.\nDo not launch or reset a simulation.\n\n\n\n## Completion\n\nUse `roboenv status --endpoint \"$ROBOENV_ENDPOINT\" --json` to check the simulation\nstate and remaining budget. It does not report success or failure. When finished,\ncall `roboenv stop --endpoint \"$ROBOENV_ENDPOINT\" --json` to finalize the attempt\nand receive the final judgment. Stopping does not grant a retry. If the simulation\nhas already terminated, use the same stop command to retrieve its final judgment.\n\n## Saved resources\n\nMaintain reusable code in `.kinex/tools/`, skills in `.kinex/skills/`, and concise working notes\nin `.kinex/memos/`. Improve existing files in place as you learn, replacing outdated\ncontent. Create a new file only when no existing resource fits; do not create\nper-attempt reflections or numbered copies. These files persist across fresh\nconversations. Update them before finishing your response.\n\n## Robot and device access\n\nThe robot is **Booster T2 with BrainCo Revo2 hands**, running in **isaaclab**.\n\n| Device | Type |\n|---|---|\n| `base` | velocity |\n| `head` | joint |\n| `head_camera` | rgbd |\n| `left_arm` | joint |\n| `left_hand` | dexterous_hand |\n| `right_arm` | joint |\n| `right_hand` | dexterous_hand |\n| `world` | world |\n\nWork in `/workspace`. Use the registered devices in `.kinex/devices/`\nand the robot specification in `.kinex/workspace.yaml`.\nThe Kinex adapter installs and refreshes these resources\nfor the current episode. Use Kinex's device tools and profiles for action schemas,\nunits, frames, and feedback. Device `stop` follows its declared affected-device\nscope; `roboenv stop --endpoint \"$ROBOENV_ENDPOINT\"` finalizes the assigned simulation\nand returns its final judgment.\nImprove existing tools, skills, and memos in place." + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "bash", + "arguments": { + "command": "roboenv describe --endpoint \"$ROBOENV_ENDPOINT\"", + "timeout": 30 + } + } + ] + }, + { + "role": "toolResult", + "toolName": "bash", + "toolCallId": "call_e8fdc4a7048c49ee9be903c52b17ea71|fc_01274be167383a88016adc47cae54c81a3b65e641f96f28944", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\"device_contract\": \"roboenv/devices/1\", \"devices\": [\"base\", \"head\", \"head_camera\", \"left_arm\", \"left_hand\", \"right_arm\", \"right_hand\", \"world\"], \"generation\": 0, \"session\": \"b5a982b6a4c0d052\", \"task\": {\"context\": {}, \"id\": \"isaaclab/t2-fetch-book\", \"instruction\": \"Go to the bookcase, pick up the book lying on the lower open shelf, and bring it back to the center of the tray on the reading desk. Let go and leave it resting there.\", \"native_instruction\": \"\"}}\n" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "ls", + "arguments": { + "path": ".kinex" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "ls", + "toolCallId": "call_30cf560c59b54591b91a3d2e0c6885ae|fc_01274be167383a88016adc47cf3a5481a39b5d3d14d47e34b6", + "isError": false, + "content": [ + { + "type": "text", + "text": "devices/\nmemos/\npython/\nskills/\ntools/\nworkspace.yaml" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "bash", + "arguments": { + "command": "find .kinex/memos .kinex/tools .kinex/skills -maxdepth 2 -type f; ls .kinex/devices/*/profile.yaml", + "timeout": 10 + } + } + ] + }, + { + "role": "toolResult", + "toolName": "bash", + "toolCallId": "call_8a1b03107f44499bb4c3b58c10d5d4f3|fc_01274be167383a88016adc47d1148881a39ae46e5518fd9a9d", + "isError": false, + "content": [ + { + "type": "text", + "text": ".kinex/devices/base/profile.yaml\n.kinex/devices/head/profile.yaml\n.kinex/devices/head_camera/profile.yaml\n.kinex/devices/left_arm/profile.yaml\n.kinex/devices/left_hand/profile.yaml\n.kinex/devices/right_arm/profile.yaml\n.kinex/devices/right_hand/profile.yaml\n.kinex/devices/world/profile.yaml\n" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "read", + "arguments": { + "path": ".kinex/devices/base/profile.yaml", + "offset": null, + "limit": null + } + }, + { + "type": "toolCall", + "name": "read", + "arguments": { + "path": ".kinex/devices/right_arm/profile.yaml", + "offset": null, + "limit": null + } + }, + { + "type": "toolCall", + "name": "read", + "arguments": { + "path": ".kinex/devices/right_hand/profile.yaml", + "offset": null, + "limit": null + } + }, + { + "type": "toolCall", + "name": "read", + "arguments": { + "path": ".kinex/devices/head_camera/profile.yaml", + "offset": null, + "limit": null + } + }, + { + "type": "toolCall", + "name": "read", + "arguments": { + "path": ".kinex/workspace.yaml", + "offset": null, + "limit": null + } + } + ] + }, + { + "role": "toolResult", + "toolName": "read", + "toolCallId": "call_78bc34e83f0e4c4ba37ce6325d733290|fc_01274be167383a88016adc47d3ccf481a387899d2aae88acc8", + "isError": false, + "content": [ + { + "type": "text", + "text": "name: base\ntype: velocity\nintrinsics:\n calibrated_at: null\n control:\n body_frame: trunk\n limit_handling: native\n mode: motion\n modes:\n locomotion:\n posture: null\n velocity:\n components:\n - axis: vx\n bounds:\n max: 1.0\n min: -0.5\n units: m/s\n - axis: vy\n bounds:\n max: 0.5\n min: -0.5\n units: m/s\n - axis: wz\n bounds:\n max: 0.5\n min: -0.5\n units: rad/s\n frame: heading\n feedback:\n velocity_components:\n - vx\n - vy\n - vz\n - wx\n - wy\n - wz\n velocity_frame: base\n frames:\n trunk:\n parent_frame: null\n rotation_xyzw:\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n translation_m:\n - 0.0\n - 0.0\n - 0.0\n method: introspection\n source: introspected\n stop:\n affected_devices:\n - base\n behavior: stand\nextrinsics:\n calibrated_at: null\n method: introspection\n source: introspected\nmeta:\n created_at: '2026-10-24T05:53:10.696749+00:00'\n updated_at: '2026-10-24T05:53:10.696749+00:00'\naccess:\n source: user\n method: unknown\n calibrated_at: null\n connection:\n kind: url\n url: http://sim:8123\n device: base\n driver:\n entry: driver.py\n persistent: true\n actions:\n - load\n - read\n - status\n - stop\n - unload\n - write\n" + } + ] + }, + { + "role": "toolResult", + "toolName": "read", + "toolCallId": "call_49f86ae809b049aab3d2622102d84c41|fc_01274be167383a88016adc47d5a17481a3824cdd90ccb42c4e", + "isError": false, + "content": [ + { + "type": "text", + "text": "name: right_arm\ntype: joint\nintrinsics:\n calibrated_at: null\n control:\n limit_handling: native\n mode: position\n feedback:\n efforts: false\n velocities: true\n home:\n right_elbow_pitch_joint: -0.0788\n right_elbow_yaw_joint: 0.7728\n right_shoulder_pitch_joint: -0.158\n right_shoulder_roll_joint: 1.3931\n right_wrist_pitch_joint: -0.1004\n right_wrist_roll_joint: 0.1657\n right_wrist_yaw_joint: 0.1007\n kinematics:\n fk: numerical\n frame: palm\n frame_to_reported:\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n ik:\n backend: numerical\n budget:\n attempt_time_s: 0.1\n max_attempts: 5\n max_time_s: 0.5\n damping: 0.01\n max_iterations: 200\n method: damped_least_squares\n position_tolerance_m: 0.01\n rotation_tolerance_rad: 0.1\n method: introspection\n model:\n chain:\n - anchor:\n - 0.0\n - 0.0\n - 0.0\n axis:\n - 0.0\n - 1.0\n - 0.0\n joint: 0\n origin:\n - 0.0615\n - -0.11422\n - 0.16458\n - -0.06975829920664163\n - 0.0\n - 0.0\n - 0.9975639226093718\n reference: 0.0\n - anchor:\n - 0.0\n - 0.0\n - 0.0\n axis:\n - 1.0\n - 0.0\n - 0.0\n joint: 1\n origin:\n - 0.0\n - -0.04926\n - -0.0107\n - 0.06975829920664163\n - 0.0\n - 0.0\n - 0.9975639226093718\n reference: 0.0\n - anchor:\n - 0.0\n - 0.0\n - 0.0\n axis:\n - 0.0\n - 1.0\n - 0.0\n joint: 2\n origin:\n - 0.00662\n - -0.1084\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n reference: 0.0\n - anchor:\n - 0.0\n - 0.0\n - 0.0\n axis:\n - 0.0\n - 0.0\n - 1.0\n joint: 3\n origin:\n - 0.0059\n - -0.109\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n reference: 0.0\n - anchor:\n - 0.0\n - 0.0\n - 0.0\n axis:\n - 0.0\n - 1.0\n - 0.0\n joint: 4\n origin:\n - -0.00092228\n - -0.094\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n reference: 0.0\n - anchor:\n - 0.0\n - 0.0\n - 0.0\n axis:\n - 0.0\n - 0.0\n - 1.0\n joint: 5\n origin:\n - 0.0\n - -0.118\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n reference: 0.0\n - anchor:\n - 0.0\n - 0.0\n - 0.0\n axis:\n - 1.0\n - 0.0\n - 0.0\n joint: 6\n origin:\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n reference: 0.0\n - origin:\n - 0.0\n - -0.07\n - 0.0\n - 0.49999999999662686\n - 0.49999999999662686\n - -0.5000018366025516\n - 0.4999981633974483\n - origin:\n - 0.0126\n - 0.0\n - 0.047\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n format: serial_chain\n joints:\n - limits:\n max: 1.710422667\n min: -3.019419606\n max_effort: 74.0\n max_velocity: 23.45722515\n name: right_shoulder_pitch_joint\n type: revolute\n - limits:\n max: 1.518436449\n min: -1.518436449\n max_effort: 60.0\n max_velocity: 23.77138441\n name: right_shoulder_roll_joint\n type: revolute\n - limits:\n max: 2.059488517\n min: -2.059488517\n max_effort: 60.0\n max_velocity: 23.77138441\n name: right_elbow_pitch_joint\n type: revolute\n - limits:\n max: 2.103121749\n min: 0.0\n max_effort: 60.0\n max_velocity: 23.77138441\n name: right_elbow_yaw_joint\n type: revolute\n - limits:\n max: 2.059488517\n min: -2.059488517\n max_effort: 22.0\n max_velocity: 18.53539666\n name: right_wrist_pitch_joint\n type: revolute\n - limits:\n max: 0.748746249\n min: -0.678933079\n max_effort: 22.0\n max_velocity: 18.53539666\n name: right_wrist_yaw_joint\n type: revolute\n - limits:\n max: 1.361356817\n min: -0.925024504\n max_effort: 22.0\n max_velocity: 18.53539666\n name: right_wrist_roll_joint\n type: revolute\n source: introspected\n stop:\n affected_devices:\n - right_arm\n behavior: hold\nextrinsics:\n calibrated_at: null\n method: introspection\n mount:\n parent: base\n parent_frame: trunk\n rotation_xyzw:\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n translation_m:\n - 0.0\n - 0.0\n - 0.0\n source: introspected\nmeta:\n created_at: '2026-10-24T05:53:10.724810+00:00'\n updated_at: '2026-10-24T05:53:10.724810+00:00'\naccess:\n source: user\n method: unknown\n calibrated_at: null\n connection:\n kind: url\n url: http://sim:8123\n device: right_arm\n driver:\n entry: driver.py\n persistent: true\n actions:\n - read\n - write\n - stop\n - load\n - unload\n - status\n - fk\n - ik\n" + } + ] + }, + { + "role": "toolResult", + "toolName": "read", + "toolCallId": "call_24fee148e50c483888e15b97f2527844|fc_01274be167383a88016adc47d5a17481a3949f014b8a842bdf", + "isError": false, + "content": [ + { + "type": "text", + "text": "name: right_hand\ntype: dexterous_hand\nintrinsics:\n calibrated_at: null\n control:\n limit_handling: native\n mode: position\n feedback:\n efforts: false\n velocities: true\n geometry:\n description: \"BrainCo Revo2, five fingers. Canonical frame: the center of the\\\n \\ palm surface, x out of the palm, z toward the fingertips, y toward the thumb.\\\n \\ The thumb metacarpal (0 to 1.57 rad) swings the thumb from beside the palm,\\\n \\ pointing along y, to straight out of the palm along x; the thumb proximal\\\n \\ (0 to 1.03 rad) curls it toward the fingertips. Each finger's proximal joint\\\n \\ (0 to 1.41 rad) curls it; the distal joints are not actuated and follow their\\\n \\ proximal joint. Open fingertips lie 8 to 10 cm along z; curled ones stay within\\\n \\ 3.3 cm of the palm surface. Each joint is position driven with stiffness 3\\\n \\ N\\xB7m/rad, its torque capped at 0.5 N\\xB7m for the thumb metacarpal, 1.1\\\n \\ N\\xB7m for the thumb proximal and 2 N\\xB7m for each finger: a joint stopped\\\n \\ by an object presses with stiffness times the remaining target angle, so fingers\\\n \\ targeted well past contact press the object toward the thumb harder than the\\\n \\ thumb can hold it, pushing it out of the hand. Points in the canonical frame,\\\n \\ m, hand open: thumb root (-0.007, 0.020, -0.019); thumb tip (0.000, 0.097,\\\n \\ -0.001); index knuckle (-0.015, 0.030, 0.034); pinky knuckle (-0.015, -0.029,\\\n \\ 0.032); index tip (0.008, 0.032, 0.086); middle tip (0.008, 0.011, 0.098);\\\n \\ pinky tip (0.007, -0.032, 0.079); with the thumb metacarpal at its upper limit\\\n \\ the thumb tip is at (0.071, 0.013, -0.001). grasp_center (driver FK) weights\\\n \\ the fingertip pads as SIMPLE does: thumb tip 0.5, index tip 0.25, middle tip\\\n \\ 0.25; a geometric reference, not a contact measurement.\"\n home:\n right_index_proximal_joint: 0.0\n right_middle_proximal_joint: 0.0\n right_pinky_proximal_joint: 0.0\n right_ring_proximal_joint: 0.0\n right_thumb_metacarpal_joint: 0.0\n right_thumb_proximal_joint: 0.0\n kinematics:\n fk: driver\n frame: grasp_center\n frame_to_reported:\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n ik: null\n method: introspection\n model:\n format: joints\n joints:\n - limits:\n max: 1.57\n min: 0.0\n max_effort: 0.5\n max_velocity: 2.6175\n name: right_thumb_metacarpal_joint\n type: revolute\n - limits:\n max: 1.03\n min: 0.0\n max_effort: 1.1\n max_velocity: 2.5303\n name: right_thumb_proximal_joint\n type: revolute\n - limits:\n max: 1.41\n min: 0.0\n max_effort: 2.0\n max_velocity: 2.2685\n name: right_index_proximal_joint\n type: revolute\n - limits:\n max: 1.41\n min: 0.0\n max_effort: 2.0\n max_velocity: 2.2685\n name: right_middle_proximal_joint\n type: revolute\n - limits:\n max: 1.41\n min: 0.0\n max_effort: 2.0\n max_velocity: 2.2685\n name: right_ring_proximal_joint\n type: revolute\n - limits:\n max: 1.41\n min: 0.0\n max_effort: 2.0\n max_velocity: 2.2685\n name: right_pinky_proximal_joint\n type: revolute\n source: introspected\n stop:\n affected_devices:\n - right_hand\n behavior: hold\nextrinsics:\n calibrated_at: null\n method: introspection\n mount:\n parent: right_arm\n parent_frame: palm\n rotation_xyzw:\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n translation_m:\n - 0.0\n - 0.0\n - 0.0\n source: introspected\nmeta:\n created_at: '2026-10-24T05:53:10.731661+00:00'\n updated_at: '2026-10-24T05:53:10.731661+00:00'\naccess:\n source: user\n method: unknown\n calibrated_at: null\n connection:\n kind: url\n url: http://sim:8123\n device: right_hand\n driver:\n entry: driver.py\n persistent: true\n actions:\n - read\n - write\n - stop\n - load\n - unload\n - status\n - fk\n" + } + ] + }, + { + "role": "toolResult", + "toolName": "read", + "toolCallId": "call_d092cbd5a37945938434bc8104268605|fc_01274be167383a88016adc47d5a17481a3895ec862346f4698", + "isError": false, + "content": [ + { + "type": "text", + "text": "name: head_camera\ntype: rgbd\nintrinsics:\n calibrated_at: null\n color:\n distortion:\n model: none\n fps: 30.0\n height: 480\n image_format: png\n pixel_format: rgb8\n projection:\n cx: 319.5\n cy: 239.5\n fx: 465.60288917518244\n fy: 465.60288917518244\n model: pinhole\n skew: 0.0\n width: 640\n depth:\n fps: 30.0\n height: 480\n image_format: pgm16_be\n invalid_value: 0\n pixel_format: uint16\n quantity: z\n registration: color\n reliable_range_m:\n max: 15.0\n min: 0.02\n scale_m_per_unit: 0.001\n valid_range_m:\n max: 15.0\n min: 0.02\n width: 640\n method: introspection\n source: introspected\nextrinsics:\n calibrated_at: null\n method: introspection\n mount:\n parent: head\n parent_frame: head_pitch_link\n rotation_xyzw:\n - -0.6268120036516847\n - 0.6268120056606817\n - -0.3272716167989292\n - 0.3272716157499898\n translation_m:\n - 0.08684\n - 0.0349\n - 0.08245\n source: introspected\nmeta:\n created_at: '2026-10-24T05:53:10.708021+00:00'\n updated_at: '2026-10-24T05:53:10.708021+00:00'\naccess:\n source: user\n method: unknown\n calibrated_at: null\n connection:\n kind: url\n url: http://sim:8123\n camera: head_camera\n driver:\n entry: driver.py\n persistent: true\n actions:\n - load\n - read\n - status\n - unload\n" + } + ] + }, + { + "role": "toolResult", + "toolName": "read", + "toolCallId": "call_e72b5c7a0b734630a082eb373b36b174|fc_01274be167383a88016adc47d5a17481a3914b9067146cf1d9", + "isError": false, + "content": [ + { + "type": "text", + "text": "identity:\n source: introspected\n id: isaaclab-booster-t2\n name: Booster T2 (simulated)\n platform: sim\n kind: humanoid\n model: Booster T2 with BrainCo Revo2 hands\nsim:\n source: introspected\n simulator: isaaclab\n notes: Isaac Lab / PhysX. A fixed whole-body controller tracks base velocity and\n arm palm targets; head and fingers are position driven. Arm joint writes are converted\n to palm targets and the controller chooses its joint configuration. Judge arrival\n using palm FK of measured joints. Finger stop retains grip preload. In realtime,\n physics continues during reasoning; in stepped mode, world.wait advances it. Device\n writes never advance physics themselves.\ndevices:\n source: introspected\nsafety:\n source: user\n notes: Follow instruction.md for task-specific limits.\nmeta:\n created_at: '2026-10-20T00:00:00Z'\n updated_at: '2026-10-20T00:00:00Z'\n" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "devices", + "arguments": { + "calls": [ + { + "deviceID": "head_camera" + }, + { + "deviceID": "base" + }, + { + "deviceID": "right_arm" + }, + { + "deviceID": "left_arm" + }, + { + "deviceID": "head" + } + ] + } + } + ] + }, + { + "role": "toolResult", + "toolName": "devices", + "toolCallId": "call_45c0d59f1e8b49079d6121ae9b354bd8|fc_01274be167383a88016adc47d706f081a39d2ff1a69826f96d", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"results\": [\n {\"deviceID\":\"head_camera\",\"action\":\"read\",\"ok\":true,\"data\":{\"timestamp\":12.58}},\n {\"deviceID\":\"base\",\"action\":\"read\",\"ok\":true,\"data\":{\"height_m\":0.9835363030433655,\"velocities\":[0.000004932503476354951,0.00009219948505691449,-0.0016888232159486345,0.0013168167788535357,-0.0009612066205590963,0.000042537201807135716],\"faults\":[],\"timestamp\":12.58}},\n {\"deviceID\":\"right_arm\",\"action\":\"read\",\"ok\":true,\"data\":{\"positions\":[-0.14742495119571686,1.3645823001861572,-0.01955418661236763,0.837085485458374,-0.1153453066945076,0.10882407426834106,0.11802294850349426],\"velocities\":[-0.000555995968170464,-0.0009911510860547423,0.00044547102879732847,0.003558080643415451,0.0009078962029889226,-0.0031472935806959867,0.0005393244209699333],\"efforts\":[],\"faults\":[],\"timestamp\":12.58}},\n {\"deviceID\":\"left_arm\",\"action\":\"read\",\"ok\":true,\"data\":{\"positions\":[-0.14186044037342072,-1.3661659955978394,-0.005020142532885075,-0.8395248055458069,-0.11090975254774094,-0.14156436920166016,-0.10005618631839752],\"velocities\":[0.0003319645766168833,0.002905868459492922,0.002127495128661394,-0.004519009962677956,0.00043869623914361,0.002274144906550646,-0.0022768424823880196],\"efforts\":[],\"faults\":[],\"timestamp\":12.58}},\n {\"deviceID\":\"head\",\"action\":\"read\",\"ok\":true,\"data\":{\"positions\":[-0.00005159204374649562,0.017543217167258263],\"velocities\":[-0.0005935080698691308,-0.0016268701292574406],\"efforts\":[],\"faults\":[],\"timestamp\":12.58}}\n ]\n}" + }, + { + "type": "image", + "path": "images/13e3620d9a4c6c3d8311e86c414cd6165ed7738726cbada826484596b7a9f07a.png", + "sha256": "13e3620d9a4c6c3d8311e86c414cd6165ed7738726cbada826484596b7a9f07a", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "read", + "arguments": { + "path": ".kinex/devices/head/profile.yaml", + "offset": null, + "limit": null + } + }, + { + "type": "toolCall", + "name": "read", + "arguments": { + "path": ".kinex/devices/world/profile.yaml", + "offset": null, + "limit": null + } + }, + { + "type": "toolCall", + "name": "read", + "arguments": { + "path": ".kinex/devices/left_arm/profile.yaml", + "offset": null, + "limit": null + } + } + ] + }, + { + "role": "toolResult", + "toolName": "read", + "toolCallId": "call_8a9ac762942a4a3d98ece7cab681e092|fc_01274be167383a88016adc47def60c81a3b89e490e758d9476", + "isError": false, + "content": [ + { + "type": "text", + "text": "name: head\ntype: joint\nintrinsics:\n calibrated_at: null\n control:\n limit_handling: native\n mode: position\n feedback:\n efforts: false\n velocities: true\n home:\n aa_head_yaw_joint: 0.0\n head_pitch_joint: 0.0\n kinematics:\n fk: numerical\n frame: head_pitch_link\n frame_to_reported:\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n ik: null\n method: introspection\n model:\n chain:\n - anchor:\n - 0.0\n - 0.0\n - 0.0\n axis:\n - 0.0\n - 0.0\n - 1.0\n joint: 0\n origin:\n - 0.0537\n - 0.0\n - 0.2174\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n reference: 0.0\n - anchor:\n - 0.0\n - 0.0\n - 0.0\n axis:\n - 0.0\n - 1.0\n - 0.0\n joint: 1\n origin:\n - 0.0\n - 0.0\n - 0.08506\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n reference: 0.0\n format: serial_chain\n joints:\n - limits:\n max: 1.099557429\n min: -1.099557429\n max_effort: 22.0\n max_velocity: 18.53539666\n name: aa_head_yaw_joint\n type: revolute\n - limits:\n max: 0.401425728\n min: -0.314159265\n max_effort: 22.0\n max_velocity: 18.53539666\n name: head_pitch_joint\n type: revolute\n source: introspected\n stop:\n affected_devices:\n - head\n behavior: hold\nextrinsics:\n calibrated_at: null\n method: introspection\n mount:\n parent: base\n parent_frame: trunk\n rotation_xyzw:\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n translation_m:\n - 0.0\n - 0.0\n - 0.0\n source: introspected\nmeta:\n created_at: '2026-10-24T05:53:10.703124+00:00'\n updated_at: '2026-10-24T05:53:10.703124+00:00'\naccess:\n source: user\n method: unknown\n calibrated_at: null\n connection:\n kind: url\n url: http://sim:8123\n device: head\n driver:\n entry: driver.py\n persistent: true\n actions:\n - read\n - write\n - stop\n - load\n - unload\n - status\n - fk\n" + } + ] + }, + { + "role": "toolResult", + "toolName": "read", + "toolCallId": "call_d38ea0aaa66c43848aa7cd80932b493d|fc_01274be167383a88016adc47deff7481a382f15cd03a8d1fc4", + "isError": false, + "content": [ + { + "type": "text", + "text": "name: world\ntype: world\nintrinsics:\n bounds: null\n frames: {}\n source: introspected\n surfaces: []\nmeta:\n created_at: '2026-10-24T05:53:10.737516+00:00'\n updated_at: '2026-10-24T05:53:10.737516+00:00'\naccess:\n source: user\n method: unknown\n calibrated_at: null\n connection:\n kind: url\n url: http://sim:8123\n device: world\n driver:\n entry: driver.py\n persistent: true\n actions:\n - load\n - read\n - status\n - unload\n - wait\n" + } + ] + }, + { + "role": "toolResult", + "toolName": "read", + "toolCallId": "call_c6b85ca056514820a72bf661989d2d4d|fc_01274be167383a88016adc47deff7481a3a6ae1daac3718604", + "isError": false, + "content": [ + { + "type": "text", + "text": "name: left_arm\ntype: joint\nintrinsics:\n calibrated_at: null\n control:\n limit_handling: native\n mode: position\n feedback:\n efforts: false\n velocities: true\n home:\n left_elbow_pitch_joint: -0.0789\n left_elbow_yaw_joint: -0.7728\n left_shoulder_pitch_joint: -0.158\n left_shoulder_roll_joint: -1.3931\n left_wrist_pitch_joint: -0.1004\n left_wrist_roll_joint: -0.1658\n left_wrist_yaw_joint: -0.1007\n kinematics:\n fk: numerical\n frame: palm\n frame_to_reported:\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n ik:\n backend: numerical\n budget:\n attempt_time_s: 0.1\n max_attempts: 5\n max_time_s: 0.5\n damping: 0.01\n max_iterations: 200\n method: damped_least_squares\n position_tolerance_m: 0.01\n rotation_tolerance_rad: 0.1\n method: introspection\n model:\n chain:\n - anchor:\n - 0.0\n - 0.0\n - 0.0\n axis:\n - 0.0\n - 1.0\n - 0.0\n joint: 0\n origin:\n - 0.0615\n - 0.11422\n - 0.16458\n - 0.06975829920664163\n - 0.0\n - 0.0\n - 0.9975639226093718\n reference: 0.0\n - anchor:\n - 0.0\n - 0.0\n - 0.0\n axis:\n - 1.0\n - 0.0\n - 0.0\n joint: 1\n origin:\n - 0.0\n - 0.04926\n - -0.0107\n - -0.06975829920664163\n - 0.0\n - 0.0\n - 0.9975639226093718\n reference: 0.0\n - anchor:\n - 0.0\n - 0.0\n - 0.0\n axis:\n - 0.0\n - 1.0\n - 0.0\n joint: 2\n origin:\n - 0.00662\n - 0.1084\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n reference: 0.0\n - anchor:\n - 0.0\n - 0.0\n - 0.0\n axis:\n - 0.0\n - 0.0\n - 1.0\n joint: 3\n origin:\n - 0.0059\n - 0.109\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n reference: 0.0\n - anchor:\n - 0.0\n - 0.0\n - 0.0\n axis:\n - 0.0\n - 1.0\n - 0.0\n joint: 4\n origin:\n - -0.00092228\n - 0.094\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n reference: 0.0\n - anchor:\n - 0.0\n - 0.0\n - 0.0\n axis:\n - 0.0\n - 0.0\n - 1.0\n joint: 5\n origin:\n - 0.0\n - 0.118\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n reference: 0.0\n - anchor:\n - 0.0\n - 0.0\n - 0.0\n axis:\n - 1.0\n - 0.0\n - 0.0\n joint: 6\n origin:\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n reference: 0.0\n - origin:\n - 0.0\n - 0.07\n - 0.0\n - -0.49999999999662686\n - 0.49999999999662686\n - 0.5000018366025516\n - 0.4999981633974483\n - origin:\n - 0.0126\n - 0.0\n - 0.047\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n format: serial_chain\n joints:\n - limits:\n max: 1.710422667\n min: -3.019419606\n max_effort: 74.0\n max_velocity: 23.45722515\n name: left_shoulder_pitch_joint\n type: revolute\n - limits:\n max: 1.518436449\n min: -1.518436449\n max_effort: 60.0\n max_velocity: 23.77138441\n name: left_shoulder_roll_joint\n type: revolute\n - limits:\n max: 2.059488517\n min: -2.059488517\n max_effort: 60.0\n max_velocity: 23.77138441\n name: left_elbow_pitch_joint\n type: revolute\n - limits:\n max: 0.0\n min: -2.103121749\n max_effort: 60.0\n max_velocity: 23.77138441\n name: left_elbow_yaw_joint\n type: revolute\n - limits:\n max: 2.059488517\n min: -2.059488517\n max_effort: 22.0\n max_velocity: 18.53539666\n name: left_wrist_pitch_joint\n type: revolute\n - limits:\n max: 0.678933079\n min: -0.748746249\n max_effort: 22.0\n max_velocity: 18.53539666\n name: left_wrist_yaw_joint\n type: revolute\n - limits:\n max: 0.925024504\n min: -1.361356817\n max_effort: 22.0\n max_velocity: 18.53539666\n name: left_wrist_roll_joint\n type: revolute\n source: introspected\n stop:\n affected_devices:\n - left_arm\n behavior: hold\nextrinsics:\n calibrated_at: null\n method: introspection\n mount:\n parent: base\n parent_frame: trunk\n rotation_xyzw:\n - 0.0\n - 0.0\n - 0.0\n - 1.0\n translation_m:\n - 0.0\n - 0.0\n - 0.0\n source: introspected\nmeta:\n created_at: '2026-10-24T05:53:10.711260+00:00'\n updated_at: '2026-10-24T05:53:10.711260+00:00'\naccess:\n source: user\n method: unknown\n calibrated_at: null\n connection:\n kind: url\n url: http://sim:8123\n device: left_arm\n driver:\n entry: driver.py\n persistent: true\n actions:\n - read\n - write\n - stop\n - load\n - unload\n - status\n - fk\n - ik\n" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device,call\nprint(call('relative_pose',child={'frame':'right_arm:palm'},parent={'frame':'base'}))\nprint(call('relative_pose',child={'frame':'head_camera'},parent={'frame':'base'}))\nprint(device('head_camera','read',{'output':'file'}))" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_2388de9d27374622aa2182b1fca91dfe|fc_01274be167383a88016adc47e0468081a3b7cf2ede11244465", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'pose': [0.38743608829975096, -0.2261731030521374, -0.2159532006902493, 0.5889694147883107, 0.615947366922432, 0.3561645896754434, 0.3832370737370811], 'path': [{'from': 'right_arm:palm', 'to': 'right_arm', 'kind': 'live', 'inverse': False}, {'from': 'right_arm', 'to': 'base:trunk', 'kind': 'static', 'inverse': False}, {'from': 'base:trunk', 'to': 'base', 'kind': 'static', 'inverse': False}], 'estimated_links': 0}\\n{'pose': [0.14197776148988264, 0.03489562795349261, 0.3833706301796421, -0.6296489871867397, 0.6296801742746669, -0.32175711799737794, 0.3217411818188023], 'path': [{'from': 'head_camera', 'to': 'head:head_pitch_link', 'kind': 'static', 'inverse': False}, {'from': 'head:head_pitch_link', 'to': 'head', 'kind': 'live', 'inverse': False}, {'from': 'head', 'to': 'base:trunk', 'kind': 'static', 'inverse': False}, {'from': 'base:trunk', 'to': 'base', 'kind': 'static', 'inverse': False}], 'estimated_links': 0}\\n{'timestamp': 17.44, 'depth_file': '/tmp/roboenv-images-9rchlgt7/9e0d7c8db9396f63.pgm', 'file': '/tmp/roboenv-images-9rchlgt7/9e0d7c8db9396f63.png'}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device,finish\ndevice('base','write',{'mode':'locomotion','velocity':{'vx':-0.25,'vy':0,'wz':0},'duration_s':2})\ndevice('head','write',{'actions':[[1.0,-0.25]],'duration_s':1})\ndevice('world','wait',{'duration_s':2.5})\nprint(device('base'))\nr=device('head_camera','read',{'output':'file'}); finish(r,file=r['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_6c85c8778f034733961f272e9fbe2900|fc_01274be167383a88016adc47e8090881a3831a7826d2843461", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9823893308639526, 'velocities': [0.1338351196449944, 0.01595037236981138, 0.005388232768830548, -0.002600511536002159, 0.05810048058629036, -0.004689965862780809], 'faults': [], 'timestamp': 23.04}\\n\",\n \"result\": {\n \"timestamp\": 23.06,\n \"depth_file\": \"/tmp/roboenv-images-00ejf41p/5fb7a66be5ddad13.pgm\",\n \"file\": \"/tmp/roboenv-images-00ejf41p/5fb7a66be5ddad13.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/69635ea303c601bd6a6891c25b24090bc6d936ff03295b899884240e0892c9af.png", + "sha256": "69635ea303c601bd6a6891c25b24090bc6d936ff03295b899884240e0892c9af", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device,finish\ndevice('base','write',{'mode':'locomotion','velocity':{'vx':0,'vy':0,'wz':0.45},'duration_s':6.8})\ndevice('head','write',{'actions':[[0,-0.25]],'duration_s':1})\ndevice('world','wait',{'duration_s':7.4})\nprint(device('base')); r=device('head_camera','read',{'output':'file'}); finish(r,file=r['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_ab95d754f1c546129d4aeccf6b77ebeb|fc_01274be167383a88016adc47ef727c81a383a548c9a93e46f9", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9832358956336975, 'velocities': [0.0849237947751041, 0.003928355360500239, -0.0001514723776404956, -0.0019340948201715946, 0.04628678411245346, 0.003565293736755848], 'faults': [], 'timestamp': 32.08}\\n\",\n \"result\": {\n \"timestamp\": 32.1,\n \"depth_file\": \"/tmp/roboenv-images-i9g9s_sp/f0f1e7b17479c0b0.pgm\",\n \"file\": \"/tmp/roboenv-images-i9g9s_sp/f0f1e7b17479c0b0.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/c4a63ba4d89fca6834e88cbd83de724a22cff1998d103d4f5db23a028bba584e.png", + "sha256": "c4a63ba4d89fca6834e88cbd83de724a22cff1998d103d4f5db23a028bba584e", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device,finish\ndevice('base','write',{'mode':'locomotion','velocity':{'vx':0,'vy':0,'wz':0.45},'duration_s':3.5})\ndevice('world','wait',{'duration_s':4})\nr=device('head_camera','read',{'output':'file'}); finish(r,file=r['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_c8432f6847114013b8189f64e516bccf|fc_01274be167383a88016adc48054e2881a3b2f224b33ebf85ff", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"\",\n \"result\": {\n \"timestamp\": 38.78,\n \"depth_file\": \"/tmp/roboenv-images-6vh3aqee/77e86d95f24d2729.pgm\",\n \"file\": \"/tmp/roboenv-images-6vh3aqee/77e86d95f24d2729.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/f36e45a291938d09b4044070e94a80acfdecd67f1f57e5a49e867f6bbfc57a82.png", + "sha256": "f36e45a291938d09b4044070e94a80acfdecd67f1f57e5a49e867f6bbfc57a82", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "bash", + "arguments": { + "command": "ls /opt/kinex/packages/core/assets/python/kinex; ls .kinex/lib", + "timeout": 10 + } + } + ] + }, + { + "role": "toolResult", + "toolName": "bash", + "toolCallId": "call_4b08f63640124d4ebb9b914694cd43ac|fc_01274be167383a88016adc4813b21081a3a773c323e2a488c7", + "isError": true, + "content": [ + { + "type": "text", + "text": "__init__.py\n_exec.py\n_inline.py\nbuffer.py\ncamera.py\ncapture.py\ncontrol.py\ndriver_protocol.py\nforce_torque.py\nframe_path.py\nframes.py\ngeometry.py\ngrasp.py\nhand.py\nik_search.py\nimu.py\ninputs.py\njoint_control.py\njoint_driver.py\njoints.py\nkinematics.py\nlocal_frames.py\nmotion.py\nobject_location.py\npolicy.py\nscalar_control.py\nstream.py\ntrajectory.py\nurdf.py\nvalidation.py\nvelocity.py\nvelocity_driver.py\nvideo.py\nworkspace.py\nls: cannot access '.kinex/lib': No such file or directory\n\n\nCommand exited with code 2" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "read", + "arguments": { + "path": "/opt/kinex/packages/core/assets/python/kinex/camera.py", + "offset": 1, + "limit": 260 + } + } + ] + }, + { + "role": "toolResult", + "toolName": "read", + "toolCallId": "call_68fe03e1abbd491694832a790feb065f|fc_01274be167383a88016adc4815732881a3b08193d1b8c27f9d", + "isError": false, + "content": [ + { + "type": "text", + "text": "\"\"\"Shared camera geometry and depth decoding. See builtin/device/templates/*/DEVICE.md#use.\"\"\"\n\nimport array\nimport math\nimport sys\n\n\ndef distort(distortion, x, y):\n if distortion[\"model\"] == \"none\":\n return x, y\n if distortion[\"model\"] != \"opencv_brown_conrady\":\n raise ValueError(f'unsupported distortion model: {distortion[\"model\"]}')\n k1, k2, p1, p2, k3 = (distortion[key] for key in (\"k1\", \"k2\", \"p1\", \"p2\", \"k3\"))\n r2 = x*x + y*y\n radial = 1 + r2 * (k1 + r2 * (k2 + r2*k3))\n return x*radial + 2*p1*x*y + p2*(r2 + 2*x*x), y*radial + p1*(r2 + 2*y*y) + 2*p2*x*y\n\n\ndef ray(stream, u, v):\n p, d = stream[\"projection\"], stream[\"distortion\"]\n yd = (v - p[\"cy\"]) / p[\"fy\"]\n xd = (u - p[\"cx\"] - p[\"skew\"] * yd) / p[\"fx\"]\n if d[\"model\"] == \"none\":\n return [xd, yd, 1.0]\n x, y = xd, yd\n for _ in range(30):\n px, py = distort(d, x, y)\n ex, ey = px-xd, py-yd\n if math.hypot(ex, ey) < 1e-10:\n return [x, y, 1.0]\n h = 1e-6\n hx, hy = distort(d, x+h, y)\n vx, vy = distort(d, x, y+h)\n a, b, c, e = (hx-px)/h, (vx-px)/h, (hy-py)/h, (vy-py)/h\n det = a*e-b*c\n if abs(det) < 1e-12:\n raise ValueError(\"singular camera distortion\")\n x, y = x-(e*ex-b*ey)/det, y-(a*ey-c*ex)/det\n raise ValueError(\"camera distortion inversion did not converge\")\n\n\ndef project(stream, point):\n x, y = distort(stream[\"distortion\"], point[0]/point[2], point[1]/point[2])\n p = stream[\"projection\"]\n return p[\"fx\"]*x + p[\"skew\"]*y + p[\"cx\"], p[\"fy\"]*y + p[\"cy\"]\n\n\ndef fov(stream):\n width, height = stream[\"width\"], stream[\"height\"]\n def angle(a, b):\n cosine = sum(x*y for x, y in zip(a, b)) / (math.hypot(*a)*math.hypot(*b))\n return math.degrees(math.acos(max(-1, min(1, cosine))))\n return {\n \"horizontal_deg\": angle(ray(stream, -0.5, (height-1)/2), ray(stream, width-0.5, (height-1)/2)),\n \"vertical_deg\": angle(ray(stream, (width-1)/2, -0.5), ray(stream, (width-1)/2, height-0.5)),\n }\n\n\ndef read_depth(path, meta):\n if meta[\"pixel_format\"] != \"uint16\" or meta[\"image_format\"] != \"pgm16_be\":\n raise ValueError(\"unsupported depth encoding\")\n with open(path, \"rb\") as handle:\n raw = handle.read()\n tokens, i = [], 0\n while len(tokens) < 4 and i < len(raw):\n if raw[i:i+1].isspace():\n i += 1\n continue\n if raw[i:i+1] == b\"#\":\n while i < len(raw) and raw[i:i+1] != b\"\\n\":\n i += 1\n continue\n j = i\n while i < len(raw) and not raw[i:i+1].isspace():\n i += 1\n tokens.append(raw[j:i])\n if len(tokens) != 4 or tokens[0] != b\"P5\" or tokens[3] != b\"65535\" or i >= len(raw):\n raise ValueError(\"expected PGM P5 with maxval 65535\")\n width, height = int(tokens[1]), int(tokens[2])\n if (width, height) != (meta[\"width\"], meta[\"height\"]):\n raise ValueError(\"depth dimensions differ from the profile\")\n start = i + (2 if raw[i:i+2] == b\"\\r\\n\" else 1)\n if len(raw)-start != width*height*2:\n raise ValueError(\"depth payload size differs from its dimensions\")\n pixels = array.array(\"H\")\n pixels.frombytes(raw[start:])\n if sys.byteorder == \"little\":\n pixels.byteswap()\n return width, height, pixels\n" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "write", + "arguments": { + "path": ".kinex/tools/book_transfer.py", + "content": "\"\"\"Reusable RGBD measurement and bounded T2 motion helpers (run via Kinex exec).\"\"\"\nimport numpy as np\nfrom scipy.spatial.transform import Rotation as R\nfrom kinex import device, call, profile\nfrom kinex.camera import ray, read_depth\n\ndef observe(pixels=()):\n p=profile('head_camera')['intrinsics']\n shot=device('head_camera','read',{'output':'file'})\n w,h,raw=read_depth(shot['depth_file'],p['depth'])\n depth=np.array(raw).reshape(h,w)\n tf=call('relative_pose',child={'frame':'head_camera'},parent={'frame':'base'})['pose']\n rot=R.from_quat(tf[3:])\n pts=[]\n for u,v in pixels:\n patch=depth[max(0,v-2):v+3,max(0,u-2):u+3]\n z=float(np.median(patch[patch!=p['depth']['invalid_value']]))*p['depth']['scale_m_per_unit']\n assert p['depth']['registration']=='color' and p['depth']['quantity']=='z'\n assert p['depth']['valid_range_m']['min']<=z<=p['depth']['valid_range_m']['max']\n xyz=rot.apply(np.array(ray(p['color'],u,v))*z)+tf[:3]\n pts.append(xyz.tolist())\n return shot,pts\n\ndef move(vx=0,vy=0,wz=0,t=1):\n state=device('base')\n if state.get('faults'): raise RuntimeError(state)\n device('base','write',{'mode':'locomotion','velocity':{'vx':vx,'vy':vy,'wz':wz},'duration_s':t})\n device('world','wait',{'duration_s':t+0.7})\n state=device('base')\n if state.get('faults'): device('base','stop'); raise RuntimeError(state)\n return state\n\ndef palm(side='right'):\n s=device(side+'_arm')\n if s.get('faults'): device(side+'_arm','stop'); raise RuntimeError(s)\n return device(side+'_arm','fk',{'joints':s['positions']})\n\ndef arm(pose,side='right',duration=2):\n s=device(side+'_arm')\n if s.get('faults'): raise RuntimeError(s)\n sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']})\n print('ik',sol)\n joints=sol['joints'] if 'joints' in sol else sol['positions']\n device(side+'_arm','write',{'actions':[joints],'duration_s':duration})\n device('world','wait',{'duration_s':duration+0.6})\n print('measured palm',palm(side))\n" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "write", + "toolCallId": "call_d58f1a3de0aa478e9e75162116f416eb|fc_01274be167383a88016adc4817625c81a3aefb9ca377c9faaa", + "isError": false, + "content": [ + { + "type": "text", + "text": "Successfully wrote to .kinex/tools/book_transfer.py" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools')\nfrom book_transfer import *\nfrom kinex import finish\ns,p=observe([(409,257),(398,244),(429,270),(307,271)])\nprint(p);finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_7f51ea52c44549288c980fc34162e1f0|fc_01274be167383a88016adc482351d481a391aa0b7a130eee95", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[1.6263692832153345, -0.2803242298862984, -0.24448716825771444], [1.7413770352757687, -0.2594485399082281, -0.24086677707582604], [1.5816994828730515, -0.3434806325686228, -0.274158890440551], [1.6286084877118685, 0.07954255605968588, -0.2998015771059471]]\\n\",\n \"result\": {\n \"timestamp\": 50.46,\n \"depth_file\": \"/tmp/roboenv-images-ute344_x/d2049b2cd22fef21.pgm\",\n \"file\": \"/tmp/roboenv-images-ute344_x/d2049b2cd22fef21.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/67e27d77765b220ed2c5433a0caceee50f8f1d8433fc13be919c1d62f5b016e7.png", + "sha256": "67e27d77765b220ed2c5433a0caceee50f8f1d8433fc13be919c1d62f5b016e7", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "text", + "text": "I\u2019ve located the book. I\u2019ll approach the shelf, grasp it, and return it to the tray." + }, + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools')\nfrom book_transfer import *\nfrom kinex import finish\nprint(move(vx=.35,t=3.1))\ns,p=observe([(412,255)]);print(p);finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_3d206767aa434bfd9c6454f77bec9f57|fc_01274be167383a88016adc482bc0cc81a38a50eb47cd3aece6", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9833272695541382, 'velocities': [-0.004283893454493861, -0.0033129983182572636, 0.00031075135826392325, 0.0019176886416971684, 0.008291749283671379, 0.012892000377178192], 'faults': [], 'timestamp': 57.660000000000004}\\n[[1.774952585807861, -0.3225014439105897, -0.30118685625863834]]\\n\",\n \"result\": {\n \"timestamp\": 57.68,\n \"depth_file\": \"/tmp/roboenv-images-xqpdz5pb/4e5de81eb7265733.pgm\",\n \"file\": \"/tmp/roboenv-images-xqpdz5pb/4e5de81eb7265733.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/239931726f505c1161645e300e5d134b7a28fbfd9bae5a1a80e8f2a4ba3dff0a.png", + "sha256": "239931726f505c1161645e300e5d134b7a28fbfd9bae5a1a80e8f2a4ba3dff0a", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "read", + "arguments": { + "path": ".kinex/devices/base/driver.py", + "offset": 1, + "limit": 250 + } + } + ] + }, + { + "role": "toolResult", + "toolName": "read", + "toolCallId": "call_03ecb2abcf26468798802edb5b7267af|fc_01274be167383a88016adc483a5da481a38b09173b6df7596e", + "isError": false, + "content": [ + { + "type": "text", + "text": "\"\"\"Mobile base adapter: fenced transport and velocity/posture validation.\"\"\"\n\nimport sys\nfrom pathlib import Path\n\nsys.dont_write_bytecode = True\nsys.path.insert(0, str(Path(__file__).resolve().parent.parent))\nfrom _roboenv import Transport, WireError, main # noqa: E402\n\ntransport = Transport(__file__)\nsettings = transport.settings\nremote = transport.remote\n\n\ndef handle(action, args):\n if action not in {\n \"read\",\n \"write\",\n \"stop\",\n \"load\",\n \"unload\",\n \"status\",\n }:\n return {\"ok\": False, \"error\": f\"Unsupported base action: {action}\"}\n try:\n if not isinstance(args, dict) or (action not in {\"write\"} and args):\n raise ValueError(f\"Invalid arguments for {action}\")\n if action in {\"stop\", \"unload\"}:\n result = remote(\"stop\", {})\n if result.get(\"stopped\") is not True:\n raise ValueError(\"Remote base did not acknowledge stop\")\n return {\"ok\": True, **(remote(\"unload\", {}) if action == \"unload\" else result)}\n if action in {\"load\", \"status\"}:\n return {\"ok\": True, **remote(action, args)}\n profile = settings()\n from kinex.velocity import command, reading\n\n if action == \"write\":\n value = command(profile, args)\n return {\"ok\": True, **transport.write(value, lambda state: reading(profile, state))}\n return {\"ok\": True, **reading(profile, remote(\"read\", {}))}\n except WireError as exc:\n return {\"ok\": False, \"error\": str(exc), \"code\": exc.code,\n \"request_id\": exc.request_id, \"details\": exc.details}\n except Exception as exc:\n return {\"ok\": False, \"error\": str(exc)}\n\n\nif __name__ == \"__main__\":\n main(handle, transport)\n" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device,finish\ndevice('head','write',{'actions':[[-.45,.25]],'duration_s':.7});device('world','wait',{'duration_s':1})\nr=device('head_camera','read',{'output':'file'});finish(r,file=r['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_c2b24ca2f3a84338b284a71ab2c26bab|fc_01274be167383a88016adc483e97ec81a3be00ab55759791d9", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"\",\n \"result\": {\n \"timestamp\": 64.38,\n \"depth_file\": \"/tmp/roboenv-images-0o_dxs5f/29116482fbb38e96.pgm\",\n \"file\": \"/tmp/roboenv-images-0o_dxs5f/29116482fbb38e96.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/fac497c0d0d60d55bbd0b2a432d1cdec9772d5ab7dc4de4bbb905ce2d087ec00.png", + "sha256": "fac497c0d0d60d55bbd0b2a432d1cdec9772d5ab7dc4de4bbb905ce2d087ec00", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(490,159),(460,125),(532,187),(457,198),(320,210)])[1]);print(palm())" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_4853d16be663455da7835994c1493b7b|fc_01274be167383a88016adc48450ed081a388869fc106ac10e1", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.6702135067913473, -0.6447140609913109, -0.2703694773813884], [0.7841583207009609, -0.6532616603672609, -0.2657782054225307], [0.5729621467780466, -0.6700225177778755, -0.2750916201046043], [0.6345556137262328, -0.546585026859247, -0.3072666701733404], [1.0434471903661566, -0.440690924032929, -0.6870625773068644]]\\n{'pose': [0.38849899013421324, -0.2259448719454402, -0.21433939973143523, 0.5872476168972132, 0.6161853186740496, 0.3571006938143115, 0.38462317139824176], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=-.35,t=1.6))\ndevice('head','write',{'actions':[[0,.25]],'duration_s':.7})\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_fc216d82ea2a4949a62d11d6b6fb8529|fc_01274be167383a88016adc4852548c81a3b37e3f4794c17fe0", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.983216404914856, 'velocities': [0.0662106224701585, 0.006696560596903949, 0.0008876596468499893, -0.009748760610818863, 0.04265797138214111, 0.013913922943174839], 'faults': [], 'timestamp': 74.86}\\n\",\n \"result\": {\n \"timestamp\": 74.9,\n \"depth_file\": \"/tmp/roboenv-images-7p0of128/23c6faba031e6270.pgm\",\n \"file\": \"/tmp/roboenv-images-7p0of128/23c6faba031e6270.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/026082ef39e03ba61c9771ac519bbd7eb8b980e852cc79be386fdcec6aab4146.png", + "sha256": "026082ef39e03ba61c9771ac519bbd7eb8b980e852cc79be386fdcec6aab4146", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\ns,p=observe([(401,156),(378,124),(439,179),(376,191)]);print(p);finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_861b28435b4d46639afe463c4a11d169|fc_01274be167383a88016adc485b685881a398db9a0548510c33", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.9317831295611572, -0.13976907042961487, -0.2987904328951913], [1.0384994199486184, -0.09863361825696618, -0.29518214618091526], [0.8628151436849971, -0.2104426669198172, -0.30113344289318283], [0.8294687945919217, -0.07866170121295515, -0.30266051668685806]]\\n\",\n \"result\": {\n \"timestamp\": 77.48,\n \"depth_file\": \"/tmp/roboenv-images-s9fuydg2/128404b39fe24286.pgm\",\n \"file\": \"/tmp/roboenv-images-s9fuydg2/128404b39fe24286.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/73ab5e42cc621759d84368b863a2ebde7885c07d856db547be7053dd3ce4b0f9.png", + "sha256": "73ab5e42cc621759d84368b863a2ebde7885c07d856db547be7053dd3ce4b0f9", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(561,189),(530,152),(599,224),(527,224)])[1]);print(device('head'))" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_5eec66eb207a47778bd90e9c835b6ab8|fc_01274be167383a88016adc4862fcd881a3aefe6724f9fdbc5c", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.7995100927132667, -0.42670786985008824, -0.26774839644781895], [0.9032957780103054, -0.39593108849654907, -0.26396111440362807], [0.713471769510376, -0.4681316745478378, -0.27118229467221794], [0.7346179146094214, -0.35280537903822684, -0.29522077155047516]]\\n{'positions': [2.6946045181830414e-05, 0.27411091327667236], 'velocities': [-0.0007672403007745743, 0.00014821882359683514], 'efforts': [], 'faults': [], 'timestamp': 81.94}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.3,vy=-.15,t=1.2))\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_45f2ab79232f4982a55ccf4b86414ef4|fc_01274be167383a88016adc486cf00c81a388ccbf246d47dcd1", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9835136532783508, 'velocities': [0.007545133296181986, 0.01935839929415328, -0.0010147643839029383, 0.0030967954080551863, 0.013759257271885872, -0.005424901377409697], 'faults': [], 'timestamp': 88.24}\\n\",\n \"result\": {\n \"timestamp\": 88.28,\n \"depth_file\": \"/tmp/roboenv-images-w1j85_no/ac2d8621719a17e5.pgm\",\n \"file\": \"/tmp/roboenv-images-w1j85_no/ac2d8621719a17e5.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/0ce9173aad46571b1e5425886a15f5ab882706f062f4b06dc031e44ecb4bd75f.png", + "sha256": "0ce9173aad46571b1e5425886a15f5ab882706f062f4b06dc031e44ecb4bd75f", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(611,331),(599,290),(600,392)])[1]);print(device('base'))" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_cfc3a6734fb44cac9467a45debdb98f0|fc_01274be167383a88016adc48797d4881a39ae01e95dbe89a8f", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.5026667337947559, -0.4096510279379025, -0.27877756072699295], [0.5752175691629365, -0.417771917067238, -0.27609618982354184], [0.4101861719840436, -0.36033654940929283, -0.28489982278600606]]\\n{'height_m': 0.9836772680282593, 'velocities': [6.267938252274315e-06, 0.0017024633090010626, -0.002114212266075126, 0.0046365451999008656, -0.0007546790293417871, -0.0002767506812233478], 'faults': [], 'timestamp': 91.44}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device\nfor pose in [[.38,-.4,-.31,0,0,0,1],[.38,-.4,-.24,0,0,0,1]]:\n try: print(device('right_arm','ik',{'pose':pose}))\n except Exception as e: print(e)" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_71fe04557d19437fb4df22d9c72714af|fc_01274be167383a88016adc488ae76081a3a532e9cc9293414a", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"driver for \\\"right_arm\\\" failed: IK search exhausted (attempt budget); seeds_attempted=5, iterations=1000, elapsed_ms=382.300, position_error_m=0.11796724972388586, rotation_error_rad=1.5415034761818671\\ndriver for \\\"right_arm\\\" failed: IK search exhausted (attempt budget); seeds_attempted=5, iterations=1000, elapsed_ms=394.318, position_error_m=0.07767057599984051, rotation_error_rad=1.5491397718664492\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device\nfrom scipy.spatial.transform import Rotation as R\nfor a in [0,45,90,135,180,-135,-90,-45]:\n q=R.from_euler('z',a,degrees=True).as_quat().tolist()\n try: print(a,device('right_arm','ik',{'pose':[.38,-.40,-.29]+q}))\n except Exception as e: print(a,str(e)[-95:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_6f028b6a2bc0496fab3501a5c56f9c66|fc_01274be167383a88016adc48a3647081a3b1436a3d23382208", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"0 elapsed_ms=404.607, position_error_m=0.10079999768796867, rotation_error_rad=1.5238878736757926\\n45 elapsed_ms=358.291, position_error_m=0.10576129027441199, rotation_error_rad=1.621991288895544\\n90 elapsed_ms=361.565, position_error_m=0.14478650965008166, rotation_error_rad=1.2605927544260846\\n135 elapsed_ms=365.436, position_error_m=0.14598772439559088, rotation_error_rad=1.312093961647086\\n180 elapsed_ms=358.448, position_error_m=0.14090520504601584, rotation_error_rad=1.3768253974321543\\n-135 elapsed_ms=417.300, position_error_m=0.14810304978179573, rotation_error_rad=1.6562372248823514\\n-90 elapsed_ms=358.323, position_error_m=0.09031630392492657, rotation_error_rad=1.8842669996973676\\n-45 elapsed_ms=387.381, position_error_m=0.09842750926559557, rotation_error_rad=1.7673023660426672\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device\nfrom scipy.spatial.transform import Rotation as R\ns=device('right_arm');p=device('right_arm','fk',{'joints':s['positions']})['pose'];print(R.from_quat(p[3:]).as_matrix())\nfor a in [0,45,90,-45,-90,180]:\n q=(R.from_euler('z',a,degrees=True)*R.from_euler('y',90,degrees=True)).as_quat().tolist()\n try: print(a,q,device('right_arm','ik',{'pose':[.38,-.4,-.23]+q}))\n except Exception as e: print(a,str(e)[-95:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_051314e085d247e6bcb457aa189bb191|fc_01274be167383a88016adc48b8d68c81a3a867ddf0a115d931", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[-0.01405593 0.45066564 0.89258216]\\n [ 0.99842678 0.05478538 -0.01193848]\\n [-0.05428071 0.89101012 -0.45072671]]\\n0 apsed_ms=359.380, position_error_m=0.045626478787863134, rotation_error_rad=0.17566785997473042\\n45 elapsed_ms=385.653, position_error_m=0.05637178535768746, rotation_error_rad=0.5808554791344742\\n90 elapsed_ms=353.133, position_error_m=0.06212748252927823, rotation_error_rad=1.1228296726903875\\n-45 lapsed_ms=397.977, position_error_m=0.03557909205179669, rotation_error_rad=0.09055871170883975\\n-90 apsed_ms=359.257, position_error_m=0.047411162930835235, rotation_error_rad=0.32858904644731224\\n180 elapsed_ms=366.629, position_error_m=0.10006521100972686, rotation_error_rad=1.4427908304424264\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vy=-.35,t=1.3));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_196034a521a844bc80b0ef8ffbd05bf2|fc_01274be167383a88016adc48c51d8081a38f7d1d2db066af4c", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.982525110244751, 'velocities': [0.057318189003996545, 0.0762518008485479, 0.0034149765330397344, -0.005469602532684803, 0.03112756460905075, -0.07555387914180756], 'faults': [], 'timestamp': 130.64000000000001}\\n\",\n \"result\": {\n \"timestamp\": 130.66,\n \"depth_file\": \"/tmp/roboenv-images-edz90c8q/4f2612df895f77e4.pgm\",\n \"file\": \"/tmp/roboenv-images-edz90c8q/4f2612df895f77e4.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/f559d9ac503bc144baa90317fff4f4260bea9d122ffc125677d571275fd8bff1.png", + "sha256": "f559d9ac503bc144baa90317fff4f4260bea9d122ffc125677d571275fd8bff1", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(552,365),(518,307),(469,402),(565,431)])[1]);print(palm())" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_542fe46e71b5401dbf9c03866ac2c7da|fc_01274be167383a88016adc48cf51cc81a387cee758217ff558", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.3890268539477007, -0.23317248433972118, -0.1483329566871352], [0.5469327368840753, -0.2804659894204782, -0.28130613497125145], [0.4087260470469259, -0.1836771197259239, -0.3185788705641802], [0.3146730865227215, -0.2223472593135233, -0.14604586228212035]]\\n{'pose': [0.3869737969296403, -0.22490108729489283, -0.2123651483108916, 0.5823570632749931, 0.6133397007771343, 0.3656230673979533, 0.38858002379285134], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device\nfrom scipy.spatial.transform import Rotation as R\nfor a in [0,-30,-60]:\n q=(R.from_euler('z',a,degrees=True)*R.from_euler('y',90,degrees=True)).as_quat().tolist()\n try: print(a,q,device('right_arm','ik',{'pose':[.33,-.24,-.2]+q}))\n except Exception as e: print(a,str(e)[-100:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_b081ecddccba4887b8043bcb4ae03465|fc_01274be167383a88016adc48d97d1881a39742aea6c3c25d0c", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"0 [0.0, 0.7071067811865475, 0.0, 0.7071067811865476] {'joints': [0.04900721386388353, 1.128455271122004, 0.4682830629881173, 0.991618014393495, 0.8885908397521137, -0.03881412492565879, -0.7579281184898002], 'frame': 'palm', 'reference_frame': None}\\n-30 [0.1830127018922193, 0.6830127018922193, -0.18301270189221933, 0.6830127018922194] {'joints': [0.06705693515148595, 1.4306204317110998, 0.1744774413549432, 0.9946805973786741, 0.9677582272197989, -0.42540443574124953, -0.7418644476012911], 'frame': 'palm', 'reference_frame': None}\\n-60 0, elapsed_ms=388.298, position_error_m=0.014038824566604895, rotation_error_rad=0.18298575997301392\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=R.from_euler('y',90,degrees=True).as_quat().tolist()\narm([.30,-.22,-.12]+q)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_e96aafa373ae4071a6696c362c6f441b|fc_01274be167383a88016adc48e595ac81a3b6f212b30265e826", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [0.38866270368833067, 1.242217316316198, 0.08372320060749325, 1.6298386768124704, 1.2082203813527115, -0.026952051868975868, -0.3562587952669192], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.3030021863214411, -0.22239899015760142, -0.12111640200400535, 0.01914467672485717, 0.7254039464490436, 0.030467555686636547, 0.6873822254610135], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 146.08,\n \"depth_file\": \"/tmp/roboenv-images-yj4eyc20/61932d825c3e536c.pgm\",\n \"file\": \"/tmp/roboenv-images-yj4eyc20/61932d825c3e536c.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/e7e40d55aebaa89a5d4bca4da4734a5f8f2b0f0c6db792d0a8db12cf91d7608a.png", + "sha256": "e7e40d55aebaa89a5d4bca4da4734a5f8f2b0f0c6db792d0a8db12cf91d7608a", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(508,300),(590,343),(451,387),(486,419),(430,398),(475,452)])[1])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_78d6fc4754db4f289f6cec9ece9e2f46|fc_01274be167383a88016adc48f3cd7c81a393b41942ab5c027b", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.5704228944099364, -0.27559186965118765, -0.2968826612341947], [0.4930077535291363, -0.38220962716775025, -0.2971865006622181], [0.42810447132299884, -0.15882550357803468, -0.3091929863089298], [0.3886756650886656, -0.207176872230571, -0.33002330648361056], [0.42044702712448284, -0.13097065358037654, -0.33234645524900963], [0.3459695725404458, -0.18450545592972986, -0.3392974650512952]]\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device\nfrom scipy.spatial.transform import Rotation as R\nq=(R.from_euler('z',-35,degrees=True)*R.from_euler('y',90,degrees=True)).as_quat().tolist()\nfor xyz in [[.37,-.22,-.25],[.39,-.22,-.27],[.32,-.17,-.27]]:\n try: print(xyz,device('right_arm','ik',{'pose':xyz+q}))\n except Exception as e:print(str(e)[-120:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_9b512687100747be82cba212e7b064dc|fc_01274be167383a88016adc49051d7081a3ae747f29f52aa2e6", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ted=5, iterations=1000, elapsed_ms=392.792, position_error_m=0.01179959154313011, rotation_error_rad=0.14884249397857588\\ned=5, iterations=1000, elapsed_ms=388.976, position_error_m=0.029112160983313897, rotation_error_rad=0.21029627035016504\\ned=5, iterations=1000, elapsed_ms=407.415, position_error_m=0.024254678652543736, rotation_error_rad=0.20180470522188373\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=-.4,t=2.2));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_6d494844a70b4049bfd6e6c0b5da2c5a|fc_01274be167383a88016adc4910c05481a3bdbf4fc301abd28f", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9812194108963013, 'velocities': [0.025561491855702525, -0.0067856889735370815, -5.837909012747339e-05, -0.0005285085644572973, 0.02080969512462616, 0.007975565269589424], 'faults': [], 'timestamp': 166.78}\\n\",\n \"result\": {\n \"timestamp\": 166.8,\n \"depth_file\": \"/tmp/roboenv-images-jhfo4gs7/2b78e92536372150.pgm\",\n \"file\": \"/tmp/roboenv-images-jhfo4gs7/2b78e92536372150.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/009a76d5ab77ee6e9edaae39728c2fcc26739df04efbd717c34063cefbad4290.png", + "sha256": "009a76d5ab77ee6e9edaae39728c2fcc26739df04efbd717c34063cefbad4290", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(255,260),(333,263),(244,360),(327,364)])[1])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_bebd4eb06be84a528b5c80177afd417a|fc_01274be167383a88016adc491dadac81a3aacbf7b0d051676e", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.6808313298173629, 0.15486995772342932, -0.3341749372747571], [0.647274988667679, 0.011214120826185326, -0.2983339154991679], [0.4683715760866959, 0.1497079184288707, -0.3045082494991934], [0.4602416328372623, 0.023626188735241006, -0.30084165773812865]]\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vy=.4,t=1.4));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_92c6fa4789b04898bfde625d87279a2d|fc_01274be167383a88016adc4925152881a3b863f233f4c0818d", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9804638624191284, 'velocities': [0.05588726894172252, -0.031048609230579113, -0.0022791666724875405, -0.012489034794270992, 0.016692999750375748, 0.1200348362326622], 'faults': [], 'timestamp': 176.96}\\n\",\n \"result\": {\n \"timestamp\": 176.98,\n \"depth_file\": \"/tmp/roboenv-images-d39dkonu/84157cba743dbfea.pgm\",\n \"file\": \"/tmp/roboenv-images-d39dkonu/84157cba743dbfea.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/0000eedfb5634c5c3c7d6d500c7d8117e4806699f764dcd6bad2e8cab3914685.png", + "sha256": "0000eedfb5634c5c3c7d6d500c7d8117e4806699f764dcd6bad2e8cab3914685", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(331,232),(399,227),(343,320),(423,311)])[1])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_7e859f97597e4b93a0d95ebab2637482|fc_01274be167383a88016adc493453fc81a38ce86a394036da21", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.7576360791218493, 0.011908167104202689, -0.3433754974568354], [0.7396126109388033, -0.11608264015015175, -0.30765456444831896], [0.5578195104727415, -0.005230963880387796, -0.33965886363138287], [0.5540559945180101, -0.13464265490366, -0.3038428163220026]]\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.2,vy=.3,t=1.1));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_6efc0404d3e24ec982992775d45395e1|fc_01274be167383a88016adc493ebc7c81a385fbcdfef7ede0dd", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9812463521957397, 'velocities': [-0.019990393500132344, -0.0014171787068720538, 0.00019076365600000376, -0.005723951384425163, -0.008001212030649185, 0.002413399051874876], 'faults': [], 'timestamp': 187.44}\\n\",\n \"result\": {\n \"timestamp\": 187.46,\n \"depth_file\": \"/tmp/roboenv-images-1yz0ygv5/9aa83016c3f4685c.pgm\",\n \"file\": \"/tmp/roboenv-images-1yz0ygv5/9aa83016c3f4685c.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/e0678b5eb1ade50a519eb136d8438f5162e1ed6a0a46b29eed7bf48b96a12a9e.png", + "sha256": "e0678b5eb1ade50a519eb136d8438f5162e1ed6a0a46b29eed7bf48b96a12a9e", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(317,258),(386,248),(337,352),(423,335)])[1])\nq=R.from_euler('y',90,degrees=True).as_quat().tolist()\nfor xyz in [[.40,-.10,-.25],[.40,-.15,-.25],[.4,-.10,-.20]]:\n try: print(xyz,device('right_arm','ik',{'pose':xyz+q}))\n except Exception as e: print(str(e)[-110:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_0c84d9996ea443419efeef927811a2ad|fc_01274be167383a88016adc494d828881a3b776d6f1709c9923", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.6557440266817847, 0.0392457272406023, -0.2952683825956399], [0.6774081598952575, -0.0841329273629014, -0.2942574000138829], [0.47719032695897073, 0.00828671386447757, -0.295933319071754], [0.5061742008455588, -0.12652727277765213, -0.29666583415580905]]\\nations=1000, elapsed_ms=349.949, position_error_m=0.03476124383461203, rotation_error_rad=0.058112294030340586\\nations=1000, elapsed_ms=349.641, position_error_m=0.017490625994707423, rotation_error_rad=0.12821466371420612\\n[0.4, -0.1, -0.2] {'joints': [-0.2454698296492771, 1.518436449, 0.5535060895160043, 0.6927807586650833, 1.060870217624731, -0.3186755591431443, -0.720339875559902], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.25,vy=.4,t=1.3));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_05cce99866fd49eea5416a79fb81528a|fc_01274be167383a88016adc495661cc81a38eaee34660128adf", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9771579504013062, 'velocities': [0.018985809843852515, 0.00982981342736238, -0.0010571111992566285, 0.02684387005865574, -0.0019215252250432968, 0.016597408801317215], 'faults': [], 'timestamp': 199.66}\\n\",\n \"result\": {\n \"timestamp\": 199.68,\n \"depth_file\": \"/tmp/roboenv-images-qixwrrv2/87cf3c7739aa9077.pgm\",\n \"file\": \"/tmp/roboenv-images-qixwrrv2/87cf3c7739aa9077.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/5d0cc71f68355d97d8550b2238117023f5d9225d977065f77c9b05d521fb0f84.png", + "sha256": "5d0cc71f68355d97d8550b2238117023f5d9225d977065f77c9b05d521fb0f84", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(341,279),(405,265),(376,369),(451,351)])[1])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_91769cc3d2bd44abad3de945759c09b5|fc_01274be167383a88016adc4964237481a3b760cf64b12ffa03", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.6320474278707829, -0.0032913796798449413, -0.3237656303860593], [0.6637057392190374, -0.12082411904011307, -0.32485408992203746], [0.4606445148506747, -0.05162344773954461, -0.317476625443851], [0.5067657949120995, -0.18200842250967764, -0.35071700793773775]]\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device\nfrom scipy.spatial.transform import Rotation as R\nfor b in [55,70,85,100,115]:\n q=R.from_euler('y',b,degrees=True).as_quat().tolist()\n try: print(b,q,device('right_arm','ik',{'pose':[.43,-.11,-.28]+q}))\n except Exception as e: print(b,str(e)[-100:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_1a0a23a032d54a528565716248f8f090|fc_01274be167383a88016adc49776fc481a3a435b02e3a2aebae", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"55 000, elapsed_ms=388.199, position_error_m=0.07142902430619277, rotation_error_rad=0.6883453132969719\\n70 1000, elapsed_ms=375.707, position_error_m=0.0787782747141404, rotation_error_rad=0.4536177555305829\\n85 000, elapsed_ms=391.066, position_error_m=0.06579435453053424, rotation_error_rad=0.2624607219611112\\n100 00, elapsed_ms=391.261, position_error_m=0.05991210328468873, rotation_error_rad=0.08788885683016753\\n115 000, elapsed_ms=387.110, position_error_m=0.04608107656484768, rotation_error_rad=0.0819714771876396\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device,finish\ndevice('base','write',{'mode':'locomotion','velocity':{'vx':.3,'vy':0,'wz':0},'duration_s':1.5});device('world','wait',{'duration_s':.7});print(device('base'));device('world','wait',{'duration_s':1.5});print(device('base'));r=device('head_camera','read',{'output':'file'});finish(r,file=r['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_4e4a20a9a775439ab67a04736f2e530b|fc_01274be167383a88016adc4980bde481a3b9c1275d8ed093cc", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.983128011226654, 'velocities': [0.10111925221149717, 0.04326342221690644, -0.01259965835055296, -0.11679098755121231, -0.09473202377557755, 0.42018842697143555], 'faults': [], 'timestamp': 217.54}\\n{'height_m': 0.9817136526107788, 'velocities': [-0.005016066798807754, 0.0008001563117975366, -0.0017438715059914576, -0.003214116208255291, -0.004319234751164913, -0.016456492245197296], 'faults': [], 'timestamp': 219.08}\\n\",\n \"result\": {\n \"timestamp\": 219.1,\n \"depth_file\": \"/tmp/roboenv-images-_6jly1ny/43be727dea4dca30.pgm\",\n \"file\": \"/tmp/roboenv-images-_6jly1ny/43be727dea4dca30.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/4a07defe9031fbd8093447f75d67f2a4cbacd71b287954e7680371295cb1e672.png", + "sha256": "4a07defe9031fbd8093447f75d67f2a4cbacd71b287954e7680371295cb1e672", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "device_stop", + "arguments": { + "reason": "Pause near shelf to inspect clearance and measured reach." + } + } + ] + }, + { + "role": "toolResult", + "toolName": "device_stop", + "toolCallId": "call_6a429599574d40af90aff1381c63e144|fc_01274be167383a88016adc498d1c4881a3aee4b519ef5fc576", + "isError": false, + "content": [ + { + "type": "text", + "text": "base: stopped (stand; affects base)\nhead: stopped (hold; affects head)\nleft_arm: stopped (hold; affects left_arm)\nleft_hand: stopped (hold; affects left_hand)\nright_arm: stopped (hold; affects right_arm)\nright_hand: stopped (hold; affects right_hand)" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device,finish\ndevice('head','write',{'actions':[[0,.40]],'duration_s':.5});device('world','wait',{'duration_s':1});r=device('head_camera','read',{'output':'file'});finish(r,file=r['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_21f60402619b4c6686c43e3a8441fef5|fc_01274be167383a88016adc49917fd481a3b1e2ec9ef4259e7a", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"\",\n \"result\": {\n \"timestamp\": 226.88,\n \"depth_file\": \"/tmp/roboenv-images-1nrtmazz/08ae934296c6b82c.pgm\",\n \"file\": \"/tmp/roboenv-images-1nrtmazz/08ae934296c6b82c.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/bf6dc160b02ff25c77978b56d31014ec03b07f383466d6ae89016e591ad35f18.png", + "sha256": "bf6dc160b02ff25c77978b56d31014ec03b07f383466d6ae89016e591ad35f18", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(344,400),(437,389),(388,365),(377,427),(447,415)])[1]);print(palm())" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_105ff3b659284935ac23b50d0f818d43|fc_01274be167383a88016adc49a4dfa081a3a27bca7bbc23c62f", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.31497386385248793, 0.002203190306169514, -0.2952818262572509], [0.32920798642882404, -0.12360359550787636, -0.2945993943859116], [0.3620905023143993, -0.060163614187031346, -0.2952000325378434], [0.2873437557717589, -0.04366105283764906, -0.33035509511844446], [0.3029185562703295, -0.1414709061061966, -0.3300126393883262]]\\n{'pose': [0.3038470693879325, -0.22290569001893984, -0.11824139874810126, 0.022700267584481907, 0.7382859817870675, 0.03946952689116795, 0.6729492279476115], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device\nfrom scipy.spatial.transform import Rotation as R\nfor a in [90,105,120]:\n q=R.from_euler('y',a,degrees=True).as_quat().tolist()\n try: print(a,device('right_arm','ik',{'pose':[.30,-.06,-.26]+q}))\n except Exception as e:print(a,str(e)[-110:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_e776d80cc50e4af0b96c2fbdfaa8c790|fc_01274be167383a88016adc49aea4a481a3afefd2cc2d14d550", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"90 terations=1000, elapsed_ms=382.489, position_error_m=0.03570202624206205, rotation_error_rad=0.093187781684986\\n105 {'joints': [-0.17773814952462172, 1.518436449, 1.1256045442962375, 0.6101619209829604, 0.490459224138362, -0.5227576768229232, -0.8588363681708444], 'frame': 'palm', 'reference_frame': None}\\n120 {'joints': [-0.03741905301458027, 1.4948627881443464, 0.8021950855993263, 0.9365121798439028, 0.9571125709608831, -0.5604102573708978, -0.2998754131488556], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=R.from_euler('y',105,degrees=True).as_quat().tolist()\narm([.30,-.065,-.235]+q)\ndevice('right_hand','write',{'actions':[[0,0,.40,.40,.40,.40]],'duration_s':1});device('world','wait',{'duration_s':1.2})\nprint(device('right_hand'));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_a2c71f5a4fe74f288ca680746106c41b|fc_01274be167383a88016adc49b7274081a3ac7a7452c9a5380a", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [0.03605224255738781, 1.4651864532402095, 0.7690869859599585, 1.0145260180213913, 1.0120283324896162, -0.5487774067421317, -0.5452520626704107], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.3066267072695934, -0.07430797733234071, -0.2066141092298408, -0.08128480307538584, 0.8232345228441763, 0.11332759914329404, 0.5503040581886836], 'frame': 'palm', 'reference_frame': None}\\n{'positions': [0.009064942598342896, 0.004398274701088667, 0.4007750451564789, 0.4008949398994446, 0.40082237124443054, 0.40063318610191345], 'velocities': [-0.20543348789215088, -0.1086939200758934, -0.03565125912427902, -0.03852606192231178, -0.03548016399145126, -0.028553612530231476], 'efforts': [], 'faults': [], 'timestamp': 247.42000000000002}\\n\",\n \"result\": {\n \"timestamp\": 247.44,\n \"depth_file\": \"/tmp/roboenv-images-gxkdzmwt/d9172c324a10a50a.pgm\",\n \"file\": \"/tmp/roboenv-images-gxkdzmwt/d9172c324a10a50a.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/8b53614a06219be26ebb555ba55bcf5e09abfdb6846eb398c62720401de667b2.png", + "sha256": "8b53614a06219be26ebb555ba55bcf5e09abfdb6846eb398c62720401de667b2", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nq=R.from_euler('y',110,degrees=True).as_quat().tolist()\narm([.30,-.065,-.27]+q)\nprint(device('right_hand'))" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_76c3fc081ea14272b88988701a019507|fc_01274be167383a88016adc49ca63c481a389e94a0c7797b656", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.35416110852053645, 1.4552324870048072, 1.6402454594771547, 0.6791268224965881, -0.13014278659877482, -0.5613944933928702, -0.925024504], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.306405342554402, -0.07062138776727114, -0.2057150412161962, -0.07300458236320634, 0.848361157503407, 0.11084462161767329, 0.5125106313549879], 'frame': 'palm', 'reference_frame': None}\\n{'positions': [0.008645955473184586, 0.004800171125680208, 0.4006243646144867, 0.4007161259651184, 0.4006495475769043, 0.4004906415939331], 'velocities': [-0.21429622173309326, -0.11576586216688156, -0.03484281525015831, -0.03677736967802048, -0.03266448155045509, -0.024995235726237297], 'efforts': [], 'faults': [], 'timestamp': 253.8}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device,finish\ndevice('world','wait',{'duration_s':3});print(device('right_arm'));print(device('base'));r=device('head_camera','read',{'output':'file'});finish(r,file=r['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_d8ed9957a0f64286ad61683dd92e11c5|fc_01274be167383a88016adc49dd42d481a39e1621285bc29e51", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'positions': [-0.7406843900680542, 1.1571638584136963, 2.0594193935394287, 1.3067947626113892, -0.4612243175506592, -0.5743793845176697, -0.9250234365463257], 'velocities': [-0.005597577430307865, 0.006607833318412304, 0.018444908782839775, -0.003077608533203602, -0.00015519442968070507, -0.0042057400569319725, 2.5480170734226704e-05], 'efforts': [], 'faults': [], 'timestamp': 262.12}\\n{'height_m': 0.9834945201873779, 'velocities': [5.598011567839541e-05, -0.0005042065520920049, -0.00035472324775550116, -0.0010226505110040307, -0.0014056609943509102, -0.0012316614156588912], 'faults': [], 'timestamp': 262.14}\\n\",\n \"result\": {\n \"timestamp\": 262.16,\n \"depth_file\": \"/tmp/roboenv-images-g83irb85/14e7d4149204dda1.pgm\",\n \"file\": \"/tmp/roboenv-images-g83irb85/14e7d4149204dda1.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/9ce6fe0a11c7e0c2f25a8b538f5ace94503498d30098e23436899bd6b0e3dc8f.png", + "sha256": "9ce6fe0a11c7e0c2f25a8b538f5ace94503498d30098e23436899bd6b0e3dc8f", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device\nq=[.588,.616,.356,.383]\nimport numpy as np;q=(np.array(q)/np.linalg.norm(q)).tolist()\nfor xyz in [[.32,-.065,-.25],[.32,-.065,-.28],[.32,-.14,-.28]]:\n try: print(xyz,device('right_arm','ik',{'pose':xyz+q}))\n except Exception as e:print(str(e)[-120:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_ae2fc5c6d25e484495cedd284a41486a|fc_01274be167383a88016adc4a01fc3481a3a8d936e6e5cb8dd6", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[0.32, -0.065, -0.25] {'joints': [-0.2892195201052776, 1.3773628319849582, 1.3394972101946079, 0.821838535076561, -0.8146836338634962, 0.43420738265360004, -0.7761960720645155], 'frame': 'palm', 'reference_frame': None}\\n[0.32, -0.065, -0.28] {'joints': [-0.3546536132340206, 1.518436449, 1.4802319942373723, 0.49893971948196664, -1.005179305004121, 0.571900807164435, -0.6643811042547937], 'frame': 'palm', 'reference_frame': None}\\n[0.32, -0.14, -0.28] {'joints': [-0.27966841560943384, 1.2811999377814298, 1.3305642554448152, 0.6217586776756505, -0.9783506453935855, 0.6051395535347552, -0.49977493673237305], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=np.array([.588,.616,.356,.383]);q=(q/np.linalg.norm(q)).tolist()\ndevice('right_hand','write',{'actions':[[0,0,0,0,0,0]],'duration_s':.8})\narm([.31,-.065,-.245]+q)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_cc0db4e416504d35a86054e7e70d5b76|fc_01274be167383a88016adc4a1579f881a3b9c9e0e22e9cdec6", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.3386080099401637, 1.3002283150042022, 1.4529833045589087, 0.9495284461040795, -0.9028280198585563, 0.39598655110462333, -0.8703593451711807], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.3233101823753772, -0.07233249056102727, -0.21247946777530874, 0.5137685230755672, 0.6536194328849044, 0.37173932093521944, 0.4130779816482455], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 288.88,\n \"depth_file\": \"/tmp/roboenv-images-nnsvaz7q/aa7dfa62e1abbd0b.pgm\",\n \"file\": \"/tmp/roboenv-images-nnsvaz7q/aa7dfa62e1abbd0b.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/590bf4f7f34b371e38dcfbeb98633383ece79c1db97fd3a51e066da7a6057660.png", + "sha256": "590bf4f7f34b371e38dcfbeb98633383ece79c1db97fd3a51e066da7a6057660", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nq=np.array([.588,.616,.356,.383]);q=(q/np.linalg.norm(q)).tolist()\narm([.32,-.13,-.285]+q)\nprint(device('right_hand'))" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_284c0b79b71e4e57856f467e8f6e3d5f|fc_01274be167383a88016adc4a24ebbc81a3a88142108f76da60", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.31605346296324055, 1.3558338159906416, 1.41499616976691, 0.5200401494064107, -1.1360508453762996, 0.6708540239374055, -0.44508898214556125], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.3259522892167173, -0.12763294783510593, -0.21258783679704849, 0.5474224156996118, 0.6158442434052458, 0.39332321202996057, 0.40787426681841144], 'frame': 'palm', 'reference_frame': None}\\n{'positions': [0.0014400739455595613, 0.003616202622652054, 0.0003609050181694329, 0.00015417679969687015, 5.565939318330493e-06, 5.834678631799761e-06], 'velocities': [-0.024527588859200478, -0.11130880564451218, -0.01767163909971714, -0.00909671001136303, -0.006225543562322855, -0.006663891952484846], 'efforts': [], 'faults': [], 'timestamp': 295.04}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device\nfrom scipy.spatial.transform import Rotation as R\nfor q in [[.70710678,.70710678,0,0],[1,0,0,0],R.from_euler('y',150,degrees=True).as_quat().tolist()]:\n try:print(q,device('right_arm','ik',{'pose':[.32,-.1,-.21]+q}))\n except Exception as e:print(str(e)[-110:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_5da9f12449054b32837a60751fb24957|fc_01274be167383a88016adc4a4d9e2c81a3b785fa5fea88090a", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[0.70710678, 0.70710678, 0, 0] {'joints': [-0.6387194968978214, 1.0936700051870365, 1.338576290595228, 1.1969374214514785, -2.0023650548549283, -0.5842167930474051, -0.8929213883110264], 'frame': 'palm', 'reference_frame': None}\\nations=1000, elapsed_ms=390.569, position_error_m=0.018806032792145325, rotation_error_rad=0.45999137440520016\\n[0.0, 0.9659258262890683, 0.0, 0.25881904510252074] {'joints': [-0.9190157599520316, 1.1083167972163683, 1.9783112155978422, 1.3360586100543181, -0.7165950623318885, -0.678933079, -0.3192872049422546], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=[.70710678,.70710678,0,0]\narm([.34,-.045,-.21]+q)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_8621a9b4f1fa4707b239c4f3034ded51|fc_01274be167383a88016adc4a5d3bec81a3bc305056891c7ac0", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.6130341664304284, 1.3693000288396868, 1.1230456524443313, 0.9596705412118102, -1.8843107527581475, -0.678933079, -0.925024504], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.3441504513641759, -0.049600646920290606, -0.20064626471457372, 0.7479876798775499, 0.6482753340955462, 0.1356376936015989, 0.04308059921991544], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 320.96,\n \"depth_file\": \"/tmp/roboenv-images-czio_b4i/1f0d7fb039415f5a.pgm\",\n \"file\": \"/tmp/roboenv-images-czio_b4i/1f0d7fb039415f5a.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/54e15bb6b5646a3664cbf3d0316c109ff590151c7c8f0e6514441be084008892.png", + "sha256": "54e15bb6b5646a3664cbf3d0316c109ff590151c7c8f0e6514441be084008892", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=[.70710678,.70710678,0,0]\narm([.24,-.045,-.22]+q,duration=2)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_ec1a0723a40b41efa0763ebb2fa81a45|fc_01274be167383a88016adc4a6ac0a881a3b6485858ce3b4646", + "isError": true, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 1,\n \"output\": \"Traceback (most recent call last):\\n File \\\"\\\", line 198, in _run_module_as_main\\n File \\\"\\\", line 88, in _run_code\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/_exec.py\\\", line 27, in \\n exec(compile(_request[\\\"source\\\"], \\\"\\\", \\\"exec\\\"), module.__dict__)\\n File \\\"\\\", line 4, in \\n File \\\"/workspace/.kinex/tools/book_transfer.py\\\", line 41, in arm\\n sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']})\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 130, in device\\n return _device_result(\\\"device\\\", values, _rpc({\\\"call\\\": \\\"device\\\", **values})[\\\"result\\\"])\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 91, in _rpc\\n raise RPCError(response.get(\\\"error\\\", \\\"harness call failed\\\"),\\nkinex.RPCError: driver for \\\"right_arm\\\" failed: IK search exhausted (attempt budget); seeds_attempted=5, iterations=949, elapsed_ms=428.731, position_error_m=0.01492711704474763, rotation_error_rad=0.1345163875338078\\n\",\n \"error\": \"script exited with code 1\\nTraceback (most recent call last):\\n File \\\"\\\", line 198, in _run_module_as_main\\n File \\\"\\\", line 88, in _run_code\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/_exec.py\\\", line 27, in \\n exec(compile(_request[\\\"source\\\"], \\\"\\\", \\\"exec\\\"), module.__dict__)\\n File \\\"\\\", line 4, in \\n File \\\"/workspace/.kinex/tools/book_transfer.py\\\", line 41, in arm\\n sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']})\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 130, in device\\n return _device_result(\\\"device\\\", values, _rpc({\\\"call\\\": \\\"device\\\", **values})[\\\"result\\\"])\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 91, in _rpc\\n raise RPCError(response.get(\\\"error\\\", \\\"harness call failed\\\"),\\nkinex.RPCError: driver for \\\"right_arm\\\" failed: IK search exhausted (attempt budget); seeds_attempted=5, iterations=949, elapsed_ms=428.731, position_error_m=0.01492711704474763, rotation_error_rad=0.1345163875338078\"\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=palm()['pose'][3:]\narm([.25,-.045,-.21]+q,duration=2)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_c7758247f36e470d880408932877215c|fc_01274be167383a88016adc4a7458c881a3b0c3af3b7c01986b", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.06314947716562794, 1.2532224099282705, 0.9114769702824452, 1.5296298116766045, -1.416989184110991, -0.4345507637685737, -0.925024504], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.2562377192175034, -0.05786669971860466, -0.19893087213308983, 0.7073138818217946, 0.671655522782444, 0.21344079325892593, 0.05503597978619923], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 332.96,\n \"depth_file\": \"/tmp/roboenv-images-315f3tuy/61fb3f7781b4a29f.pgm\",\n \"file\": \"/tmp/roboenv-images-315f3tuy/61fb3f7781b4a29f.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/b39e1816a79c8bfd72d30419697fa94e2f92c0292709abd266521e34dc5ebebd.png", + "sha256": "b39e1816a79c8bfd72d30419697fa94e2f92c0292709abd266521e34dc5ebebd", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=np.array([.588,.616,.356,.383]);q=(q/np.linalg.norm(q)).tolist()\narm([.30,-.22,-.12]+q)\nprint(move(vx=-.25,t=1.3));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_212d069a740747d0ac17906ceff01342|fc_01274be167383a88016adc4a84232881a3abecc054ed828ee7", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.2822750140973346, 0.41747102367242733, 1.3289839929340392, 1.821068633164435, -1.1269109439528509, 0.3504089057661333, -0.7586858901599373], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.29341211999441313, -0.21636366853509298, -0.12893611022006302, 0.5899421534312526, 0.6245001010359997, 0.35292076063715383, 0.3706950446421096], 'frame': 'palm', 'reference_frame': None}\\n{'height_m': 0.9805644750595093, 'velocities': [0.14159984522310018, -0.01190354745616849, 0.002791914239746665, -0.011521395295858383, 0.08457484841346741, -0.0687788873910904], 'faults': [], 'timestamp': 343.22}\\n\",\n \"result\": {\n \"timestamp\": 343.26,\n \"depth_file\": \"/tmp/roboenv-images-p557pz5r/6ee45ebbd0de75cf.pgm\",\n \"file\": \"/tmp/roboenv-images-p557pz5r/6ee45ebbd0de75cf.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/1fe13e584482fb83eb50a95dfd42afbaf9dcd3c60a5c2934ce8115b2302f5199.png", + "sha256": "1fe13e584482fb83eb50a95dfd42afbaf9dcd3c60a5c2934ce8115b2302f5199", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\ns,p=observe([(199,174),(270,181),(173,253),(249,266)]);print(p);finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_a29f2b0fb3034221bbcbf5053ab71aa6|fc_01274be167383a88016adc4aafa1ec81a3a7b314bcd2676c38", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.7061964628485042, 0.24993850833731898, -0.29624888288140466], [0.7199328229995778, 0.12741620250318564, -0.33252357848484143], [0.5422889014768302, 0.26854016587525165, -0.2952998935609131], [0.5388187343377828, 0.1518139241813439, -0.33175516401683486]]\\n\",\n \"result\": {\n \"timestamp\": 358,\n \"depth_file\": \"/tmp/roboenv-images-ct1hu5nz/276ba727d2710c1d.pgm\",\n \"file\": \"/tmp/roboenv-images-ct1hu5nz/276ba727d2710c1d.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/d00fa4c40b5f732f62d168d879aa0ce2d31e13a9cc5b38aae21a92be42ffa2e7.png", + "sha256": "d00fa4c40b5f732f62d168d879aa0ce2d31e13a9cc5b38aae21a92be42ffa2e7", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.3,vy=.3,t=1.5));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_9845c94a3b2c4713aae5512985568f7b|fc_01274be167383a88016adc4abbd9f081a38e1ca24480dc10b0", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9791197776794434, 'velocities': [0.006392063871186059, -0.0029187923010997627, 0.00021494539069103995, 0.0034981032367795706, 0.0034822740126401186, -0.026150235906243324], 'faults': [], 'timestamp': 365.66}\\n\",\n \"result\": {\n \"timestamp\": 365.68,\n \"depth_file\": \"/tmp/roboenv-images-b7praquf/6d232ba54e7edd86.pgm\",\n \"file\": \"/tmp/roboenv-images-b7praquf/6d232ba54e7edd86.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/f71f8ecfc1417e5620a129034e82923d9824958bac64eebefe15138c4c9aa8bd.png", + "sha256": "f71f8ecfc1417e5620a129034e82923d9824958bac64eebefe15138c4c9aa8bd", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(258,222),(326,239),(219,308),(295,330)])[1])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_c5952748b1ca44d78cac5ed0013cac45|fc_01274be167383a88016adc4ac9e21881a3b424d4c3cd67768c", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.6078346261559121, 0.13867485049442008, -0.3037467575123542], [0.5745820110422958, 0.02439803189431789, -0.30459035357837877], [0.44975293543685235, 0.185503258098472, -0.3003091634178712], [0.4152983477286775, 0.07077171514576117, -0.3007270614587248]]\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.25,vy=.3,t=.8));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_b213a18986b74f91a9b1fe47bac034b3|fc_01274be167383a88016adc4ad29f9881a3afef64af87f5bd81", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9794757962226868, 'velocities': [0.0023396142545846444, -0.0033587909737517823, -0.0003245606661348259, 0.0042710574343800545, 0.0018122924957424402, -0.025980055332183838], 'faults': [], 'timestamp': 375.8}\\n\",\n \"result\": {\n \"timestamp\": 375.82,\n \"depth_file\": \"/tmp/roboenv-images-dag2g462/cd21d7472dadeda6.pgm\",\n \"file\": \"/tmp/roboenv-images-dag2g462/cd21d7472dadeda6.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/79e209a7e52ab24bb8bf05fb1841e3f6c3df61b9b69598929a617ba66cbf73b5.png", + "sha256": "79e209a7e52ab24bb8bf05fb1841e3f6c3df61b9b69598929a617ba66cbf73b5", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.3,vy=.3,t=1.6));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_b08adb1299ea40ad812016dbac389889|fc_01274be167383a88016adc4adff48481a3b20f40e05c9f98d9", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9790259599685669, 'velocities': [-0.002740897105234488, 0.014008799636715112, -0.0011146258144577796, 0.02253451943397522, -0.006745900958776474, -0.06386610865592957], 'faults': [], 'timestamp': 382.72}\\n\",\n \"result\": {\n \"timestamp\": 382.74,\n \"depth_file\": \"/tmp/roboenv-images-kt3p9yav/2266ef941a43799a.pgm\",\n \"file\": \"/tmp/roboenv-images-kt3p9yav/2266ef941a43799a.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/07c1c3e98dba2a43459b73a79c8de3f507c42724a24affaf560d0686b5096fb1.png", + "sha256": "07c1c3e98dba2a43459b73a79c8de3f507c42724a24affaf560d0686b5096fb1", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\npts=observe([(263,236),(337,251),(225,316),(303,339)])[1];print(pts)\nc=np.mean(pts,axis=0);print(c)\na=np.arctan2(pts[0][1]-pts[2][1],pts[0][0]-pts[2][0]);print(a)\nfor side,sgn in [('right',-1),('left',1)]:\n q=(R.from_euler('z',a)*R.from_quat([.70710678,-sgn*.70710678,0,0])).as_quat().tolist()\n pos=c+R.from_euler('z',a).apply([0,sgn*.10,.09])\n try:print(side,pos,q,device(side+'_arm','ik',{'pose':pos.tolist()+q}))\n except Exception as e:print(str(e)[-120:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_1ef01c4834154ed9ba4ff9286a17571a|fc_01274be167383a88016adc4af5212481a39029e6ea8f802df3", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.5792808701450533, 0.12823651768191874, -0.3028033371385088], [0.551719167123709, 0.0066566234414513585, -0.3047876001293377], [0.4368892207035089, 0.17504719700882543, -0.3001407459673052], [0.40174041245980485, 0.05880779999997773, -0.3009860191507647]]\\n[ 0.49240742 0.09218703 -0.30217943]\\n-0.31761625119918296\\npted=5, iterations=1000, elapsed_ms=381.071, position_error_m=0.07808920362814113, rotation_error_rad=0.4359973122562111\\nted=5, iterations=1000, elapsed_ms=358.373, position_error_m=0.06507686852342243, rotation_error_rad=0.38558638409440715\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=.35,t=1.2));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_018b585f6c8942a4b5e2c685410cfe09|fc_01274be167383a88016adc4b080ef481a3ad5330001028bda9", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9815384149551392, 'velocities': [-6.88208500098307e-05, -0.020583439950465916, -0.000144442633270738, -0.0032517355866730213, 0.002386359963566065, -0.03560420125722885], 'faults': [], 'timestamp': 400.74}\\n\",\n \"result\": {\n \"timestamp\": 400.76,\n \"depth_file\": \"/tmp/roboenv-images-rm5xyy0m/53b60107fe7140de.pgm\",\n \"file\": \"/tmp/roboenv-images-rm5xyy0m/53b60107fe7140de.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/8dcc158bbd778844a1a07ac08229054042526fcc8fd21d430c97bc9142b74f8d.png", + "sha256": "8dcc158bbd778844a1a07ac08229054042526fcc8fd21d430c97bc9142b74f8d", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "device_stop", + "arguments": { + "reason": "Base motion is constrained near the bookcase; stop before retreating for a clearer approach." + } + } + ] + }, + { + "role": "toolResult", + "toolName": "device_stop", + "toolCallId": "call_73f9de75644d4ff1a30facce133a918f|fc_01274be167383a88016adc4b1c2ebc81a3ac36294065c5d9a5", + "isError": false, + "content": [ + { + "type": "text", + "text": "base: stopped (stand; affects base)\nhead: stopped (hold; affects head)\nleft_arm: stopped (hold; affects left_arm)\nleft_hand: stopped (hold; affects left_hand)\nright_arm: stopped (hold; affects right_arm)\nright_hand: stopped (hold; affects right_hand)" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=-.3,t=2));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_46958d2d4e8b41c5b781cd8af1058f39|fc_01274be167383a88016adc4b1fed4881a39d07c55715a6b433", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9788921475410461, 'velocities': [0.15969052284308194, 0.03831410776075941, 0.004686884664218135, 0.018528712913393974, 0.08689848333597183, -0.06883744895458221], 'faults': [], 'timestamp': 413.02}\\n\",\n \"result\": {\n \"timestamp\": 413.04,\n \"depth_file\": \"/tmp/roboenv-images-iqt62xof/691b4a1dcae55306.pgm\",\n \"file\": \"/tmp/roboenv-images-iqt62xof/691b4a1dcae55306.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/0a9a38aa695d76e4095c14654605ee65981fb7b6d2bb84553a0d562605e65e9f.png", + "sha256": "0a9a38aa695d76e4095c14654605ee65981fb7b6d2bb84553a0d562605e65e9f", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=.4,t=1.5));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_4cfa04cb04584558b601cf12d6ec293b|fc_01274be167383a88016adc4b316b9081a38f4c95687ff23fd2", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9817666411399841, 'velocities': [0.011012057952914862, -0.032502811244487895, -0.0010815602074827995, -0.00771272974088788, 0.0013466242235153913, -0.02118903212249279], 'faults': [], 'timestamp': 420.58}\\n\",\n \"result\": {\n \"timestamp\": 420.6,\n \"depth_file\": \"/tmp/roboenv-images-op1jgcpe/90e4a988bc05cf87.pgm\",\n \"file\": \"/tmp/roboenv-images-op1jgcpe/90e4a988bc05cf87.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/d8d10f5247fce21d03ce4814c359beacca10a949a1186f96d0b2f2f60864a2f4.png", + "sha256": "d8d10f5247fce21d03ce4814c359beacca10a949a1186f96d0b2f2f60864a2f4", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(300,102)])[1])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_83b2ac8b32f14e019f8a5fdbf14eed3d|fc_01274be167383a88016adc4b3e065481a396e0c33de9992777", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.8939075908138014, 0.07449068111403839, -0.2976067561466291]]\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.3,t=1.9));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_caf3b6a5fb6d4889838b99cb02b8cf31|fc_01274be167383a88016adc4b46847c81a38c94bd5bbb2721d9", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9810901880264282, 'velocities': [0.023395883944757646, 0.04930232725133597, -0.0003167740780199225, 0.004185257479548454, 0.028999198228120804, -0.0905611515045166], 'faults': [], 'timestamp': 431.58}\\n\",\n \"result\": {\n \"timestamp\": 431.6,\n \"depth_file\": \"/tmp/roboenv-images-_1as4vfv/98ddbbb00384ceb4.pgm\",\n \"file\": \"/tmp/roboenv-images-_1as4vfv/98ddbbb00384ceb4.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/2c7f7dbb6f3ad70348d99d9a9bafe5ba8bc9682bcd041298bc7f0d9a2f1e3376.png", + "sha256": "2c7f7dbb6f3ad70348d99d9a9bafe5ba8bc9682bcd041298bc7f0d9a2f1e3376", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nfor side in ['right','left']:\n q=palm(side)['pose'][3:];arm([.18,(-.28 if side=='right' else .28),-.10]+q,side)\nprint(move(wz=.4,t=1.3));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_0ba8db84ebbd491dbcd32c85c97e09c8|fc_01274be167383a88016adc4b5b4d5c81a3940e45be2a48ed7f", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [0.8634211873578641, 0.2634097913077898, 0.40273408302673197, 1.9737369021393216, -0.8473744608093795, 0.5450114347104309, -0.529624174939346], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.18887494637762414, -0.27475709217469374, -0.09782969135649654, 0.5835802615573517, 0.5959793173679101, 0.37847927201785714, 0.4012432831128339], 'frame': 'palm', 'reference_frame': None}\\nik {'joints': [0.9842480639767055, -1.0574205078759906, -0.2259669018951319, -1.9789948045654346, -0.35825227044861285, -0.091549059852396, -0.041262550720296574], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.1851736630559339, 0.2780994596650411, -0.09470521450982602, -0.527563091209539, 0.6248407530921839, -0.3202520034342316, 0.4782152991749522], 'frame': 'palm', 'reference_frame': None}\\n{'height_m': 0.9811416268348694, 'velocities': [-0.0034849281569925834, 0.06332924703068828, -0.0015162927108735007, 0.002588750096037984, 0.0069391727447509766, -0.12262824177742004], 'faults': [], 'timestamp': 445.92}\\n\",\n \"result\": {\n \"timestamp\": 445.94,\n \"depth_file\": \"/tmp/roboenv-images-88gf6kfu/333f238d0fd874c1.pgm\",\n \"file\": \"/tmp/roboenv-images-88gf6kfu/333f238d0fd874c1.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/43ab1c4da872022fef6ccff0f3958f128fc3670f6720521606306d71d37c556d.png", + "sha256": "43ab1c4da872022fef6ccff0f3958f128fc3670f6720521606306d71d37c556d", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\npts=observe([(207,232),(279,240),(178,329),(265,339)])[1];print(pts)\nfor xyz in [[.40,.20,-.21],[.43,.20,-.21]]:\n try:print(xyz,device('left_arm','ik',{'pose':xyz+[-.70710678,.70710678,0,0]}))\n except Exception as e: print(str(e)[-110:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_6fed9bace79c44889c4d296140db8d33|fc_01274be167383a88016adc4b80f47081a3b629b08e2dbc4ea7", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.5892391174044742, 0.2224548904815104, -0.3060028528136919], [0.5944250363269561, 0.10515268110551557, -0.339362976295124], [0.41800864947630495, 0.24250664629672028, -0.30374967045801804], [0.4150786718443401, 0.11804512668073644, -0.3374853365971755]]\\nations=1000, elapsed_ms=234.568, position_error_m=0.014613294438288849, rotation_error_rad=0.12643895626835652\\nrations=1000, elapsed_ms=236.761, position_error_m=0.02178558938043083, rotation_error_rad=0.24404614493366789\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device\nfrom scipy.spatial.transform import Rotation as R\nfor a in [-15,-30,-45]:\n q=(R.from_euler('y',a,degrees=True)*R.from_quat([-.70710678,.70710678,0,0])).as_quat().tolist()\n try: print(a,q,device('left_arm','ik',{'pose':[.40,.20,-.22]+q}))\n except Exception as e:print(a,str(e)[-100:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_84f8aae7f35642f0ac59e28ac8c82ca2|fc_01274be167383a88016adc4b8e29cc81a390135c32af42d1db", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"-15 [-0.7010573846499779, 0.7010573846499779, -0.09229595564125725, 0.09229595564125725] {'joints': [-0.5677148863557198, -1.1514384360558605, 0.7704125543505767, -0.6968453716660659, -1.053841885674648, 0.678933079, 0.20801834403254693], 'frame': 'palm', 'reference_frame': None}\\n-30 [-0.6830127018922194, 0.6830127018922194, -0.18301270189221933, 0.18301270189221933] {'joints': [-0.38524267809074303, -1.1092267938160176, 0.6518525088422821, -0.9168905669563842, -0.9132686031341909, 0.5275382214290367, 0.23002266485288786], 'frame': 'palm', 'reference_frame': None}\\n-45 [-0.6532814824381883, 0.6532814824381883, -0.2705980500730985, 0.2705980500730985] {'joints': [-0.28770696038434657, -1.1149076290132367, 0.6177961211886103, -0.9620205148965643, -0.7917003697315814, 0.21515444903063377, 0.20974179186508476], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=(R.from_euler('y',-15,degrees=True)*R.from_quat([-.70710678,.70710678,0,0])).as_quat().tolist()\narm([.44,.21,-.23]+q,'left')\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_fa220ed9c71f46fbb307d7b1a0039699|fc_01274be167383a88016adc4b9c59ac81a3bdc22008a7f33908", + "isError": true, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 1,\n \"output\": \"Traceback (most recent call last):\\n File \\\"\\\", line 198, in _run_module_as_main\\n File \\\"\\\", line 88, in _run_code\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/_exec.py\\\", line 27, in \\n exec(compile(_request[\\\"source\\\"], \\\"\\\", \\\"exec\\\"), module.__dict__)\\n File \\\"\\\", line 4, in \\n File \\\"/workspace/.kinex/tools/book_transfer.py\\\", line 41, in arm\\n sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']})\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 130, in device\\n return _device_result(\\\"device\\\", values, _rpc({\\\"call\\\": \\\"device\\\", **values})[\\\"result\\\"])\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 91, in _rpc\\n raise RPCError(response.get(\\\"error\\\", \\\"harness call failed\\\"),\\nkinex.RPCError: driver for \\\"left_arm\\\" failed: IK search exhausted (attempt budget); seeds_attempted=5, iterations=1000, elapsed_ms=351.615, position_error_m=0.012744346909035953, rotation_error_rad=0.05561836539368416\\n\",\n \"error\": \"script exited with code 1\\nTraceback (most recent call last):\\n File \\\"\\\", line 198, in _run_module_as_main\\n File \\\"\\\", line 88, in _run_code\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/_exec.py\\\", line 27, in \\n exec(compile(_request[\\\"source\\\"], \\\"\\\", \\\"exec\\\"), module.__dict__)\\n File \\\"\\\", line 4, in \\n File \\\"/workspace/.kinex/tools/book_transfer.py\\\", line 41, in arm\\n sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']})\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 130, in device\\n return _device_result(\\\"device\\\", values, _rpc({\\\"call\\\": \\\"device\\\", **values})[\\\"result\\\"])\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 91, in _rpc\\n raise RPCError(response.get(\\\"error\\\", \\\"harness call failed\\\"),\\nkinex.RPCError: driver for \\\"left_arm\\\" failed: IK search exhausted (attempt budget); seeds_attempted=5, iterations=1000, elapsed_ms=351.615, position_error_m=0.012744346909035953, rotation_error_rad=0.05561836539368416\"\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=(R.from_euler('y',-15,degrees=True)*R.from_quat([-.70710678,.70710678,0,0])).as_quat().tolist()\narm([.42,.21,-.22]+q,'left')\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_f73496c220a344399fafb116c793b94d|fc_01274be167383a88016adc4ba17e4081a3af0251f59089d17b", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.6334233589234175, -1.2129647170797144, 0.6466421449729836, -0.5212433652498586, -0.8399079821582881, 0.678933079, 0.0654855307975164], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.42963966731128406, 0.2122525765144372, -0.20473927362816288, 0.7149546000159239, -0.6655249995183891, 0.11734596039866378, -0.17929395001012688], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 474,\n \"depth_file\": \"/tmp/roboenv-images-a1am0fb2/397f828fe6d0c03b.pgm\",\n \"file\": \"/tmp/roboenv-images-a1am0fb2/397f828fe6d0c03b.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/17f52f7ac9fc564f48cdd9dd91268baf36cb288589bbd26640205cb2d772a3fd.png", + "sha256": "17f52f7ac9fc564f48cdd9dd91268baf36cb288589bbd26640205cb2d772a3fd", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(270,185),(224,221),(299,240)])[1]);print(device('base'))" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_f09065c4e41e4bc2b001a1baa7292f61|fc_01274be167383a88016adc4bb6510481a3be179197db416447", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.6737991182834913, 0.12102903560646339, -0.2870668599655091], [0.6040623060167312, 0.19434559642159474, -0.29541220394977713], [0.5635860588368303, 0.06832698656141695, -0.2902073432796159]]\\n{'height_m': 0.9820060729980469, 'velocities': [0.0003712636911968576, -0.006057511108704005, -0.005846834885671451, -0.01882755011320114, -0.0035092541947960854, 0.00701391464099288], 'faults': [], 'timestamp': 481.98}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=(R.from_euler('y',-15,degrees=True)*R.from_quat([-.70710678,.70710678,0,0])).as_quat().tolist()\narm([.42,.14,-.22]+q,'left')\nprint(move(vx=.25,t=1.2));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_b29c485110494254a121cf45f8de6d43|fc_01274be167383a88016adc4bc71e0081a387563d3064ac5ba9", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.7037833525255753, -1.278623694000128, 1.0232530335192593, -0.6181546412543859, -1.3604694635876557, 0.6758944139524575, 0.39015067550986837], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.42085585235011186, 0.14093075104940178, -0.20468598119308348, 0.7094195368591495, -0.6804429627668553, 0.1030293950561097, -0.1520073646175934], 'frame': 'palm', 'reference_frame': None}\\n{'height_m': 0.9822469353675842, 'velocities': [-0.0002547348328050968, -0.01607119441191787, 0.0009367793416675272, -0.006914910394698381, 0.005881199613213539, -0.018995067104697227], 'faults': [], 'timestamp': 496}\\n\",\n \"result\": {\n \"timestamp\": 496.02000000000004,\n \"depth_file\": \"/tmp/roboenv-images-t_k55l28/193f5cdaddffa041.pgm\",\n \"file\": \"/tmp/roboenv-images-t_k55l28/193f5cdaddffa041.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/a3d8b4625605b30edef60359b2d4713f13f057c30293967bee833cb5ae4d634e.png", + "sha256": "a3d8b4625605b30edef60359b2d4713f13f057c30293967bee833cb5ae4d634e", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=palm('left')['pose'][3:]\narm([.32,.14,-.22]+q,'left',duration=2)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_8eed1b60bdbd4f068bdb8de384ca63c0|fc_01274be167383a88016adc4bdb267c81a3a2838d3d148f553b", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.23495953192813465, -1.1118242119861947, 0.7940383563728702, -1.2979418289879392, -1.2840329581979997, 0.5975275984457761, 0.8218495663316594], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.32971955643773315, 0.14708006370974644, -0.2115196063542366, 0.7274698582300182, -0.6620567882094184, 0.09774350018886796, -0.15137576663209834], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 503.76,\n \"depth_file\": \"/tmp/roboenv-images-g6w0rjb8/993b8d79ef0c6d8c.pgm\",\n \"file\": \"/tmp/roboenv-images-g6w0rjb8/993b8d79ef0c6d8c.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/4fdbf68d4e21c4b8d7fe6319a874e59ed3a0a9135f46c601a6415c5289455f0f.png", + "sha256": "4fdbf68d4e21c4b8d7fe6319a874e59ed3a0a9135f46c601a6415c5289455f0f", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\npts=observe([(280,197),(348,225),(227,281),(298,316)])[1];print(pts)\nfor x in [.4,.43]:\n q=(R.from_euler('y',-15,degrees=True)*R.from_quat([.70710678,.70710678,0,0])).as_quat().tolist()\n try:print(x,q,device('right_arm','ik',{'pose':[x,0,-.215]+q}))\n except Exception as e:print(str(e)[-120:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_ad74ce54e89d4df2a7a10a0d1cb46a59|fc_01274be167383a88016adc4bf3e1e881a38564ea12803f228e", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.6465135435055176, 0.10227570403867059, -0.28533374351236107], [0.5913454293112321, -0.011343810958623315, -0.28816207514678305], [0.4884943672119473, 0.17568035117464056, -0.2877416262988266], [0.4329664560205001, 0.06658159050033852, -0.2907939128192164]]\\nted=5, iterations=1000, elapsed_ms=366.680, position_error_m=0.08217006730929347, rotation_error_rad=0.15773107345844947\\npted=5, iterations=1000, elapsed_ms=352.528, position_error_m=0.06532596408522008, rotation_error_rad=0.1434086717961525\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\narm([.25,.24,-.12]+palm('left')['pose'][3:],'left')\nprint(move(vy=.5,t=1.5));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_8dd31b5de98841a8b596ca3d975bba82|fc_01274be167383a88016adc4bfd56ac81a3b424757035dd5cb6", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [0.299330231508831, -0.6231540533049705, 0.2855483470078579, -2.015699353448335, -1.5368564183147473, 0.678933079, 0.8930487442849118], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.2580659722424382, 0.23816598245448853, -0.11757322885191146, 0.7531641307550543, -0.6278389101526051, 0.1166214902402985, -0.15799216137677416], 'frame': 'palm', 'reference_frame': None}\\n{'height_m': 0.9810243844985962, 'velocities': [-0.016493090011699983, 0.006083843509819229, -0.00020195634787432542, 0.011668605729937553, -0.000631358940154314, -0.00783886294811964], 'faults': [], 'timestamp': 521.26}\\n\",\n \"result\": {\n \"timestamp\": 521.28,\n \"depth_file\": \"/tmp/roboenv-images-98clk57k/398260760ff0833e.pgm\",\n \"file\": \"/tmp/roboenv-images-98clk57k/398260760ff0833e.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/aee821e5da7050123ce9a488abe6bfa46404d965f3e891cb8b2f0a69511d3e8d.png", + "sha256": "aee821e5da7050123ce9a488abe6bfa46404d965f3e891cb8b2f0a69511d3e8d", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=.4,t=2));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_8580afa4411c48489781e7ae6aa0b368|fc_01274be167383a88016adc4c1745ac81a39e6c41112fd5ba6e", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9814281463623047, 'velocities': [0.025480580123172294, 0.030578851586552002, -0.0007134934312913783, -0.0033718447666615248, 0.011272937059402466, -0.05707865208387375], 'faults': [], 'timestamp': 531.08}\\n\",\n \"result\": {\n \"timestamp\": 531.1,\n \"depth_file\": \"/tmp/roboenv-images-jtetpisu/6ae30a9c9e77c168.pgm\",\n \"file\": \"/tmp/roboenv-images-jtetpisu/6ae30a9c9e77c168.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/41d34b0a33675ea9dee05be4f99abe4be61163c984fd4d4dddd5f50f4f36e4b9.png", + "sha256": "41d34b0a33675ea9dee05be4f99abe4be61163c984fd4d4dddd5f50f4f36e4b9", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=-.3,t=2.5));print(move(wz=.4,t=2));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_35337dd929ea49eebc4154798307297b|fc_01274be167383a88016adc4c2f8fa081a388b9f0992bcfc535", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9780161380767822, 'velocities': [0.13926030593466676, 0.03002346183497014, 0.004315559713239178, 0.01885555312037468, -0.00015296321362257004, -0.05966487526893616], 'faults': [], 'timestamp': 542.84}\\n{'height_m': 0.980991780757904, 'velocities': [0.02761591753091823, 0.06457126300171737, -0.0031536301745989912, -0.01506385300308466, 0.018070224672555923, -0.06614039093255997], 'faults': [], 'timestamp': 545.62}\\n\",\n \"result\": {\n \"timestamp\": 545.64,\n \"depth_file\": \"/tmp/roboenv-images-ykzf0w8m/772c8b177d951574.pgm\",\n \"file\": \"/tmp/roboenv-images-ykzf0w8m/772c8b177d951574.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/bc668096db0adda7df3fd8abbc59ee0163853069a4b995c9a191ec6eb1e40416.png", + "sha256": "bc668096db0adda7df3fd8abbc59ee0163853069a4b995c9a191ec6eb1e40416", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device,finish\ndevice('base','write',{'mode':'locomotion','velocity':{'vx':0,'vy':0,'wz':.4},'duration_s':3.5})\nfor t in [1,1,1.5,1]:\n device('world','wait',{'duration_s':t});print(device('base'))\nr=device('head_camera','read',{'output':'file'});finish(r,file=r['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_af81e52a3c7f4b48877e293720bbb39f|fc_01274be167383a88016adc4c4eb0e881a39c66d764980d24ee", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9802731871604919, 'velocities': [-0.0016522010605781016, -0.052421706401189934, 0.003111558528795884, 0.056612636893987656, 0.009136928245425224, 0.24253110587596893], 'faults': [], 'timestamp': 555.2}\\n{'height_m': 0.9810881018638611, 'velocities': [0.013257995180818763, -0.14232666971511695, -0.037463229171952314, 0.05792640149593353, -0.10655135661363602, 0.12324032187461853], 'faults': [], 'timestamp': 556.24}\\n{'height_m': 0.9808498024940491, 'velocities': [0.0029480172131459395, 0.044601206775571584, 0.0054224192882956455, -0.009947072714567184, 0.02362225390970707, -0.10949432104825974], 'faults': [], 'timestamp': 557.78}\\n{'height_m': 0.9816551208496094, 'velocities': [-0.009596373580625817, -0.0058862862290742675, 0.00016227438142822883, -0.001209533424116671, 0.002246455755084753, 0.0036304008681327105], 'faults': [], 'timestamp': 558.82}\\n\",\n \"result\": {\n \"timestamp\": 558.84,\n \"depth_file\": \"/tmp/roboenv-images-wql99qdn/9ad50704aca63947.pgm\",\n \"file\": \"/tmp/roboenv-images-wql99qdn/9ad50704aca63947.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/6be4510194fb0847ad984b8d56987c0f606e358f18077a1d094c54ed2deca68c.png", + "sha256": "6be4510194fb0847ad984b8d56987c0f606e358f18077a1d094c54ed2deca68c", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(observe([(468,129)])[1]);print(move(vx=.3,t=1.9));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_34a6751ce8aa480c8b563d153c96f472|fc_01274be167383a88016adc4c6675c081a3b1d4fef56a4bfad3", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.8176094277066625, -0.24824079276081398, -0.2960470938989042]]\\n{'height_m': 0.9808506369590759, 'velocities': [0.0002765705549409457, 0.010631514380972672, -0.0021557256958722798, 0.0005845848936587572, -0.013920139521360397, -0.01340988278388977], 'faults': [], 'timestamp': 570.0600000000001}\\n\",\n \"result\": {\n \"timestamp\": 570.08,\n \"depth_file\": \"/tmp/roboenv-images-vtbdaadp/231747b5bb48f906.pgm\",\n \"file\": \"/tmp/roboenv-images-vtbdaadp/231747b5bb48f906.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/cfd8a9c06741a7bfaff6dfd73ee45839ad37270def4d829cb0dea29ed56f05c9.png", + "sha256": "cfd8a9c06741a7bfaff6dfd73ee45839ad37270def4d829cb0dea29ed56f05c9", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "device_stop", + "arguments": { + "deviceID": "base", + "reason": "Upper shelf occludes the camera after approach; retreat to restore clearance." + } + } + ] + }, + { + "role": "toolResult", + "toolName": "device_stop", + "toolCallId": "call_f961813eaa934212ad7ac6766a6b88e0|fc_01274be167383a88016adc4c78904881a3b5362ce23b3f08a8", + "isError": false, + "content": [ + { + "type": "text", + "text": "base: stopped (stand; affects base)" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=-.2,t=.8));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_8e9ebf1635164de8a4b88fc9daabaac2|fc_01274be167383a88016adc4c7e333c81a3844e2fb248f57e8f", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9795399308204651, 'velocities': [0.14502359942175302, 0.018476502672840282, 0.004256320906618231, -0.01251477375626564, 0.0916280448436737, -0.00310840574093163], 'faults': [], 'timestamp': 578.28}\\n\",\n \"result\": {\n \"timestamp\": 578.3000000000001,\n \"depth_file\": \"/tmp/roboenv-images-dmm5xx57/7eed74d6dec940f0.pgm\",\n \"file\": \"/tmp/roboenv-images-dmm5xx57/7eed74d6dec940f0.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/c831f28f318e633dd00557007c2075fb6ede909cf40c559eab6a5ce2e010ec5a.png", + "sha256": "c831f28f318e633dd00557007c2075fb6ede909cf40c559eab6a5ce2e010ec5a", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=-.2,t=.9));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_264cbfa9dc594e91b06c6e12b0348bbb|fc_01274be167383a88016adc4c8b29a881a3a17605b556ccecd0", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9786182641983032, 'velocities': [0.1551776337682441, 0.05249060542716326, 0.006261313301055659, -0.03920632600784302, 0.09607668220996857, -0.03437641263008118], 'faults': [], 'timestamp': 583.76}\\n\",\n \"result\": {\n \"timestamp\": 583.8000000000001,\n \"depth_file\": \"/tmp/roboenv-images-v2125hxo/57865cb3301d599f.pgm\",\n \"file\": \"/tmp/roboenv-images-v2125hxo/57865cb3301d599f.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/ae17447d0206ad2e77e3e06a6edccc1605f423cc3b0f3115870d577fa84fe18a.png", + "sha256": "ae17447d0206ad2e77e3e06a6edccc1605f423cc3b0f3115870d577fa84fe18a", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(433,193),(491,231),(430,298),(367,251)])[1])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_2a5dd471304f451e8accb4d57b8f408b|fc_01274be167383a88016adc4c98a07881a3984091f65b5a3e6d", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.2842397943737035, -0.01178201282112231, 0.19205459045239845], [0.5842464443567265, -0.2462311672097648, -0.295061085619154], [0.46385599326074145, -0.13101197811828005, -0.2950804608508968], [0.5660627767719675, -0.044709567024961906, -0.32885807838270753]]\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "edit", + "arguments": { + "path": ".kinex/tools/book_transfer.py", + "edits": [ + { + "oldText": "device('world','wait',{'duration_s':t+0.7})", + "newText": "device('world','wait',{'duration_s':t+2.0})" + } + ] + } + } + ] + }, + { + "role": "toolResult", + "toolName": "edit", + "toolCallId": "call_d52524c9b94044889a6b4b8caf380f28|fc_01274be167383a88016adc4ca1303881a3a10f455a422727cd", + "isError": false, + "content": [ + { + "type": "text", + "text": "Successfully replaced 1 block(s) in .kinex/tools/book_transfer.py." + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_621a834ddee842da9771fd1ca8f6a943|fc_01274be167383a88016adc4ca6f4fc81a3822d6bd8f77a0c4a", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"\",\n \"result\": {\n \"timestamp\": 594.42,\n \"depth_file\": \"/tmp/roboenv-images-k2guartb/6218e1e35f520fc3.pgm\",\n \"file\": \"/tmp/roboenv-images-k2guartb/6218e1e35f520fc3.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/a17f599c90691cc358ce4fee0e21fa82a696a9d5fdac3f1f460b1f8d11fa27ad.png", + "sha256": "a17f599c90691cc358ce4fee0e21fa82a696a9d5fdac3f1f460b1f8d11fa27ad", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.18,t=.65));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_97c79664b7f74c9d9ecb32bb5e0dd5e2|fc_01274be167383a88016adc4cba64b481a3b5cfba0ca7bd98ee", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9806954860687256, 'velocities': [-0.003473964603784232, -0.008560947356315502, -0.0003378942823425356, -0.00220472295768559, -0.002294971374794841, 0.0019068628316745162], 'faults': [], 'timestamp': 605.72}\\n\",\n \"result\": {\n \"timestamp\": 605.74,\n \"depth_file\": \"/tmp/roboenv-images-ihu2g2l3/1eaec3f4e1b55b9a.pgm\",\n \"file\": \"/tmp/roboenv-images-ihu2g2l3/1eaec3f4e1b55b9a.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/9cd183712c443fd47d80595d4b1291ff36204dbb009ee35644766f6ea43a0391.png", + "sha256": "9cd183712c443fd47d80595d4b1291ff36204dbb009ee35644766f6ea43a0391", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "read", + "arguments": { + "path": ".kinex/devices/_roboenv.py", + "offset": 1, + "limit": 260 + } + } + ] + }, + { + "role": "toolResult", + "toolName": "read", + "toolCallId": "call_facb29851564454583ad13f649be19e2|fc_01274be167383a88016adc4cd1483081a3af2f8d62c1f27872", + "isError": false, + "content": [ + { + "type": "text", + "text": "\"\"\"Portable driver dialog and transport, shared by one exported device collection.\"\"\"\n\nimport base64\nimport contextlib\nimport http.client\nimport json\nimport os\nimport secrets\nimport shutil\nimport signal\nimport socket\nimport sys\nimport tempfile\nimport threading\nimport time\nfrom concurrent.futures import ThreadPoolExecutor, wait\nfrom functools import cached_property\nfrom pathlib import Path\nfrom urllib.parse import quote, urlsplit\n\nMAX_BYTES = 8 * 1024 * 1024\n\n\nclass WireError(RuntimeError):\n def __init__(self, message, code, request_id, details=None):\n super().__init__(message)\n self.code, self.request_id, self.details = code, request_id, details\n\n\nclass Transport:\n def __init__(self, driver, *, device=None):\n self.directory = Path(driver).resolve().parent\n self.device = device\n self._local = threading.local()\n self._connections = set()\n self._connections_lock = threading.Lock()\n self.connection = None\n self.last_exchange = 0\n self.used = False\n self.unloaded = False\n self.deadline = None\n self._motions = {}\n self._motion_lock = threading.Lock()\n self._motion_error = None\n\n @property\n def connection(self):\n return getattr(self._local, \"connection\", None)\n\n @connection.setter\n def connection(self, value):\n self._local.connection = value\n if value is not None:\n with self._connections_lock:\n self._connections.add(value)\n\n @property\n def last_exchange(self):\n return getattr(self._local, \"last_exchange\", 0)\n\n @last_exchange.setter\n def last_exchange(self, value):\n self._local.last_exchange = value\n\n def close_all(self):\n with self._connections_lock:\n connections, self._connections = self._connections, set()\n for connection in connections:\n if connection.sock is not None:\n with contextlib.suppress(OSError):\n connection.sock.shutdown(socket.SHUT_RDWR)\n connection.close()\n\n @cached_property\n def profile(self):\n import yaml\n\n return yaml.safe_load((self.directory / \"profile.yaml\").read_text())\n\n def settings(self):\n return self.profile\n\n @cached_property\n def config(self):\n file = self.directory / \"connection.json\"\n return (\n json.loads(file.read_text())\n if file.is_file()\n else {\n \"endpoint\": os.environ.get(\"ROBOENV_ENDPOINT\"),\n \"socket\": os.environ.get(\"ROBOENV_SOCKET\"),\n \"session\": os.environ.get(\"ROBOENV_SESSION\"),\n \"generation\": int(os.environ.get(\"ROBOENV_GENERATION\", \"0\")),\n }\n )\n\n @cached_property\n def endpoint(self):\n if self.config.get(\"endpoint\") or self.config.get(\"socket\"):\n return self.config.get(\"endpoint\")\n return self.settings()[\"access\"][\"connection\"][\"url\"]\n\n @cached_property\n def identity(self):\n identity = {\n \"protocol\": \"roboenv/1\",\n \"session\": self.config.get(\"session\") or \"roboenv\",\n \"generation\": self.config.get(\"generation\", 0),\n }\n if self.endpoint and not self.config.get(\"session\"):\n try:\n found = json.loads(self.exchange(self.endpoint, \"GET\"))\n if (\n not isinstance(found, dict)\n or found.get(\"protocol\") != \"roboenv/1\"\n or not isinstance(found.get(\"session\"), str)\n or type(found.get(\"generation\")) is not int\n or found[\"generation\"] < 0\n ):\n raise ValueError(\"Endpoint returned an invalid environment identity\")\n identity = {key: found[key] for key in identity}\n except Exception:\n self.close()\n raise\n return identity\n\n @cached_property\n def target(self):\n if self.device is not None:\n return self.device\n profile = self.settings()\n key = \"camera\" if profile[\"type\"] in {\"rgb\", \"rgbd\"} else \"device\"\n return profile[\"access\"][\"connection\"][key]\n\n @cached_property\n def can_stop(self):\n return \"stop\" in self.settings()[\"access\"][\"driver\"][\"actions\"]\n\n def close(self):\n if self.connection is not None:\n with self._connections_lock:\n self._connections.discard(self.connection)\n self.connection.close()\n self.connection = None\n\n def timeout(self):\n if self.deadline is None:\n return 605\n remaining = self.deadline - time.monotonic()\n if remaining <= 0:\n raise TimeoutError(\"Driver cleanup deadline exceeded\")\n return remaining\n\n def exchange(self, endpoint, method, path=\"/\", body=None, destination=None):\n if self.connection is not None and time.monotonic() - self.last_exchange >= 5:\n self.close()\n try:\n if self.connection is None:\n url = urlsplit(endpoint)\n if (\n url.scheme not in {\"http\", \"https\"}\n or not url.hostname\n or url.username is not None\n or url.password is not None\n or url.path not in {\"\", \"/\"}\n or url.query\n or url.fragment\n ):\n raise ValueError(\"Expected an HTTP(S) device endpoint\")\n cls = (\n http.client.HTTPSConnection\n if url.scheme == \"https\"\n else http.client.HTTPConnection\n )\n self.connection = cls(url.hostname, url.port, timeout=self.timeout())\n self.connection.timeout = self.timeout()\n if self.connection.sock is not None:\n self.connection.sock.settimeout(self.timeout())\n self.connection.request(\n method, path, body=body, headers={\"Content-Type\": \"application/json\"}\n )\n response = self.connection.getresponse()\n if response.status != 200:\n raise RuntimeError(f\"HTTP {response.status}\")\n expected = response.length\n if expected is None:\n raise ValueError(\"Response requires Content-Length\")\n if destination is None:\n raw = response.read(MAX_BYTES + 1)\n if len(raw) > MAX_BYTES or len(raw) != expected:\n raise ValueError(\n \"Oversized or incomplete response; use output='file' for large images\"\n )\n else:\n size = 0\n with destination.open(\"wb\") as stream:\n while chunk := response.read(65536):\n size += stream.write(chunk)\n if size != expected:\n raise ValueError(\"Incomplete artifact\")\n raw = None\n self.last_exchange = time.monotonic()\n if response.will_close:\n self.close()\n return raw\n except BaseException:\n # Also discard an interrupted request before SIGTERM cleanup uses the wire.\n self.close()\n if destination is not None:\n destination.unlink(missing_ok=True)\n raise\n\n def cancel_motions(self):\n with self._motion_lock:\n identities = set(self._motions.values())\n self._motions.clear()\n for identity in identities:\n self.remote(\"cancel_motion\", {\"execution_id\": identity})\n\n def write(self, args, reading):\n \"\"\"Validate accepted motion feedback, cancelling only this request on failure.\"\"\"\n if self._motion_error is not None:\n raise self._motion_error\n request_id = f\"driver-{secrets.token_hex(8)}\"\n accepted = False\n try:\n data = self.remote(\"write\", args, request_id=request_id)\n accepted = True\n if not isinstance(data, dict) or data.get(\"execution_id\") != request_id:\n raise ValueError(\"motion must return its execution_id\")\n if not isinstance(data.get(\"state\"), dict):\n raise ValueError(\"motion must return measured state\")\n return {**data, \"state\": reading(data[\"state\"])}\n except Exception as error:\n if not accepted and not (\n isinstance(error, WireError) and error.code == \"outcome_unknown\"\n ):\n raise\n try:\n result = self.remote(\"cancel_motion\", {\"execution_id\": request_id})\n if not isinstance(result, dict) or type(result.get(\"stopped\")) is not bool:\n raise ValueError(\"Remote cancellation was not acknowledged\")\n except Exception as cleanup:\n self._motion_error = WireError(\n f\"{error}; cancellation failed: {cleanup}\", \"stop_failed\", request_id,\n {\"effects\": \"unknown\", \"validation_error\": str(error),\n \"cleanup_error\": str(cleanup)},\n )\n raise self._motion_error from cleanup\n with self._motion_lock:\n if self._motions.get(self.target) == request_id:\n self._motions.pop(self.target)\n raise\n\n def remote(self, action, args, *, image_output=\"file\", request_id=None):\n identity = self.identity\n if request_id is None:\n request_id = secrets.token_hex(8)\n if action == \"wait\":\n request_id = getattr(self._local, \"request_id\", request_id)\n\n[271 more lines in file. Use offset=261 to continue.]" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=-.15,t=.5));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_e6ad50b454b74c8eb241fb3462c23414|fc_01274be167383a88016adc4cdcb08481a3a5f98b34a081a5d1", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9809856414794922, 'velocities': [0.0024808026851663853, 0.0008658555426528192, -0.002695721984510089, -0.0028928841929882765, -0.003664326388388872, -0.011167541146278381], 'faults': [], 'timestamp': 621.28}\\n\",\n \"result\": {\n \"timestamp\": 621.3000000000001,\n \"depth_file\": \"/tmp/roboenv-images-bertrhl0/981450369353489e.pgm\",\n \"file\": \"/tmp/roboenv-images-bertrhl0/981450369353489e.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/09d46de80864ae3c60783f848702617b3cd9db201edf5f8dd64cc113fc3167eb.png", + "sha256": "09d46de80864ae3c60783f848702617b3cd9db201edf5f8dd64cc113fc3167eb", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=-.2,t=1));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_3f86549124f7488bb329b872dda33380|fc_01274be167383a88016adc4cee490481a3b14b479fb10663b7", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9801449775695801, 'velocities': [0.013086702053799667, 0.028360918901977738, -0.002231845714665154, -0.00142867979593575, -0.0003956620639655739, -0.05356517806649208], 'faults': [], 'timestamp': 628.88}\\n\",\n \"result\": {\n \"timestamp\": 628.9,\n \"depth_file\": \"/tmp/roboenv-images-a50xegzi/469771662aea1e03.pgm\",\n \"file\": \"/tmp/roboenv-images-a50xegzi/469771662aea1e03.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/6183c49ea93ec44598eccba190fbcc294e1f1b97d81ba130659841dad7b14326.png", + "sha256": "6183c49ea93ec44598eccba190fbcc294e1f1b97d81ba130659841dad7b14326", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=(R.from_euler('y',-15,degrees=True)*R.from_quat([.70710678,.70710678,0,0])).as_quat().tolist()\narm([.43,-.13,-.22]+q,'right')\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_572ebfc0e5674a01a63c4888bd4cf0de|fc_01274be167383a88016adc4d05001481a38b5f6f804b0634eb", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.6787897130400317, 1.4055448707996543, 0.6666257442326264, 0.4976418300790705, -0.9439039258496917, -0.678933079, -0.2864208116923693], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.4424613126710359, -0.12971787246983688, -0.1877435959766813, 0.6572268231172069, 0.7093012381817814, 0.15129823260434175, 0.20506950358319492], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 640.2,\n \"depth_file\": \"/tmp/roboenv-images-77yo04mt/004f154f205ee6ee.pgm\",\n \"file\": \"/tmp/roboenv-images-77yo04mt/004f154f205ee6ee.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/e7f934a28635881a4636c1af39326500d83ac9dd127790ccf62492ae5aee161d.png", + "sha256": "e7f934a28635881a4636c1af39326500d83ac9dd127790ccf62492ae5aee161d", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\ndevice('right_hand','write',{'actions':[[1.3,.8,.45,.45,.45,.45]],'duration_s':1});device('world','wait',{'duration_s':1.4})\nprint(device('right_hand'))\nq=palm()['pose'][3:];arm([.39,-.13,-.10]+q)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_470236663d6b46469fb0201e5e44cd41|fc_01274be167383a88016adc4d1df8b881a3b7c26e5559bca22d", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'positions': [1.3028507232666016, 0.8038145899772644, 0.448957234621048, 0.4486561417579651, 0.44859763979911804, 0.4487600028514862], 'velocities': [-0.0689551830291748, -0.118370920419693, 0.049249857664108276, 0.05926549807190895, 0.06261203438043594, 0.059117455035448074], 'efforts': [], 'faults': [], 'timestamp': 652.14}\\nik {'joints': [-0.6294388241253392, 0.8855151653581566, 1.0112075545625765, 1.5805014445481023, -1.6721955969004443, -0.6317146048639414, -0.925024504], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.38731063441365216, -0.12229802632674427, -0.10209587651432767, 0.6062650178968663, 0.7352088874608568, 0.20632401317765986, 0.22212838958437228], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 654.9,\n \"depth_file\": \"/tmp/roboenv-images-go43qbh4/77cc393e35466da1.pgm\",\n \"file\": \"/tmp/roboenv-images-go43qbh4/77cc393e35466da1.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/bec30d879890f3dc55934fce58596707dab44d5af339e1ffc9117b8817514653.png", + "sha256": "bec30d879890f3dc55934fce58596707dab44d5af339e1ffc9117b8817514653", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(398,173),(447,199),(378,257),(328,216)])[1]);print(palm())" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_7fc1b1e2a8c145be93937e754aa5f64e|fc_01274be167383a88016adc4d528d6081a3a8a775222fcc8638", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.7130848014968922, -0.10589270773375736, -0.3014801123851539], [0.6547455456646134, -0.18563838437709568, -0.3015599245553024], [0.5380179852528104, -0.05821674084820987, -0.30043461808445676], [0.6233196755062247, 0.020794157582169355, -0.3082161061621849]]\\n{'pose': [0.3871176883229247, -0.12230038856894555, -0.10350851799058919, 0.6066101855496621, 0.7356970407372572, 0.2047871174707205, 0.22098910279894002], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "read", + "arguments": { + "path": ".kinex/devices/right_arm/driver.py", + "offset": 1, + "limit": 240 + } + } + ] + }, + { + "role": "toolResult", + "toolName": "read", + "toolCallId": "call_8c4625ecf114444a8e7c72d711d88cd9|fc_01274be167383a88016adc4d600a2881a38be0f4b44037bf51", + "isError": false, + "content": [ + { + "type": "text", + "text": "\"\"\"Portable device driver: stdlib transport and Kinex's local kinematics.\"\"\"\n\nimport sys\nfrom functools import cache\nfrom pathlib import Path\n\n# Import shared collection support without modifying a read-only catalog.\nsys.dont_write_bytecode = True\nsys.path.insert(0, str(Path(__file__).resolve().parent.parent))\nfrom _roboenv import Transport, WireError, main # noqa: E402\n\ntransport = Transport(__file__)\nsettings = transport.settings\nremote = transport.remote\n\n\n@cache\ndef model():\n from kinex.joints import JointDevice\n\n return JointDevice(settings(), transport.directory)\n\n\ndef handle(action, args):\n try:\n profile = settings()\n if action in {\"read\", \"stop\", \"load\", \"unload\", \"status\"} and args:\n raise ValueError(f\"{action} takes no arguments\")\n if action == \"unload\":\n result = handle(\"stop\", {})\n if not result[\"ok\"]:\n return result\n if action in {\"load\", \"unload\", \"status\"}:\n return {\"ok\": True, **remote(action, args)}\n if action == \"stop\":\n result = remote(action, args)\n expected = {\"stopped\": True, **profile[\"intrinsics\"][\"stop\"]}\n if any(result.get(key) != value for key, value in expected.items()):\n raise ValueError(\"Remote stop result differs from profile scope/behavior\")\n return {\"ok\": True, **result}\n joint = model()\n if action == \"fk\":\n if set(args) - {\"joints\", \"frame\", \"reference_frame\"} or \"joints\" not in args:\n raise ValueError(\"fk requires joints and optional frame/reference_frame\")\n return {\"ok\": True, **joint.fk(**args)}\n if action == \"ik\":\n if set(args) - {\"pose\", \"seed\", \"frame\", \"reference_frame\"} or \"pose\" not in args:\n raise ValueError(\"ik requires pose and optional seed/frame/reference_frame\")\n seed = args.get(\"seed\")\n if seed is None:\n seed = joint.project(remote(\"read\", {})[\"positions\"])\n return {\n \"ok\": True,\n **joint.ik(args[\"pose\"], seed, args.get(\"frame\"), args.get(\"reference_frame\")),\n }\n if action == \"write\":\n joint.command(args)\n return {\"ok\": True, **transport.write(args, joint.reading)}\n if action == \"read\":\n data = remote(action, args)\n return {\n \"ok\": True,\n **joint.reading(data),\n }\n raise ValueError(f\"Unsupported joint action: {action}\")\n except WireError as exc:\n return {\n \"ok\": False,\n \"error\": str(exc),\n \"code\": exc.code,\n \"request_id\": exc.request_id,\n \"details\": exc.details,\n }\n except Exception as exc:\n return {\"ok\": False, \"error\": str(exc)}\n\n\nif __name__ == \"__main__\":\n main(handle, transport)\n" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nq=np.array([.588,.616,.356,.383]);q=(q/np.linalg.norm(q)).tolist()\ntry:arm([.20,-.25,-.38]+q)\nexcept Exception as e:print(str(e)[-150:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_b0e9ac2342d64c2ea8467f275aaf6770|fc_01274be167383a88016adc4d6d31c081a3880207ac2befe188", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"(attempt budget); seeds_attempted=5, iterations=1000, elapsed_ms=374.432, position_error_m=0.04452662734384547, rotation_error_rad=0.27051902558126717\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nq=(R.from_euler('y',-15,degrees=True)*R.from_quat([.70710678,.70710678,0,0])).as_quat().tolist()\nfor pos in [[.28,-.25,-.3],[.25,-.25,-.32]]:\n try:arm(pos+q);break\n except Exception as e:print(str(e)[-130:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_7a194cfb97cc4690bf4649f4ea44efb0|fc_01274be167383a88016adc4d747c3081a38c78406612d5cd7f", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.3401316566835585, 0.940917746476019, 1.2354606395306609, 0.7682052962397347, -1.3774296400835404, -0.28978310425414333, -0.13156669028718465], 'frame': 'palm', 'reference_frame': None}\\ndriver for \\\"right_arm\\\" failed: Palm target exceeds trained workspace\\nik {'joints': [-0.2740015958510901, 0.9871433662142287, 1.2633761713400238, 0.682723437285387, -1.3637588190147094, -0.1938156054019859, -0.08762228560933986], 'frame': 'palm', 'reference_frame': None}\\ndriver for \\\"right_arm\\\" failed: Palm target exceeds trained workspace\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nq=(R.from_euler('y',-15,degrees=True)*R.from_quat([.70710678,.70710678,0,0])).as_quat().tolist()\ntry:arm([.35,-.20,-.28]+q)\nexcept Exception as e:print(str(e)[-200:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_c06d0e577cc748cc89691c8ff6420157|fc_01274be167383a88016adc4d80376c81a3b74921a4bbef36ed", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.5357633606478275, 1.1160512846902073, 1.2341685481409752, 0.650064496053943, -1.4156567277274095, -0.4373785727255478, -0.21453052929983524], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.3545673954045396, -0.19646314469817802, -0.21206192497281484, 0.665266639295578, 0.7179260399296439, 0.11880255360954249, 0.1669983625283752], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\ndevice('right_hand','write',{'actions':[[0,0,0,0,0,0]],'duration_s':.8})\nprint(move(vx=.08,t=.6));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_7e8dd8582e634e47bde2c2bc9ccdbd65|fc_01274be167383a88016adc4da1ccdc81a3933cc4f7ae509792", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9817746877670288, 'velocities': [2.3833326268410025e-05, -0.00042740701859952755, -0.0001287291113937536, 0.0016904105432331562, 0.00011672283289954066, 0.0005144900642335415], 'faults': [], 'timestamp': 710.1800000000001}\\n\",\n \"result\": {\n \"timestamp\": 710.2,\n \"depth_file\": \"/tmp/roboenv-images-yz52hwr8/5bc4b06bbd1d3b2d.pgm\",\n \"file\": \"/tmp/roboenv-images-yz52hwr8/5bc4b06bbd1d3b2d.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/2093b870d245367e03645ee92de008f73234a9f342f24a0277240ee95abec747.png", + "sha256": "2093b870d245367e03645ee92de008f73234a9f342f24a0277240ee95abec747", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.15,t=.5));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_ab69fbe259cd43628c8ebc270939cff2|fc_01274be167383a88016adc4db0f47c81a380161d61014c1d25", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9827343225479126, 'velocities': [-0.003136282599948203, -0.012310800400140823, -0.001362425236146257, 0.002252863487228751, -0.009642763063311577, 0.003564270446076989], 'faults': [], 'timestamp': 716.96}\\n\",\n \"result\": {\n \"timestamp\": 716.98,\n \"depth_file\": \"/tmp/roboenv-images-d8_rc_rl/7e3446fbaa0a2467.pgm\",\n \"file\": \"/tmp/roboenv-images-d8_rc_rl/7e3446fbaa0a2467.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/492572be0096b52b14c8107c4b1a5a51598378418080f64a7259adb60dac4048.png", + "sha256": "492572be0096b52b14c8107c4b1a5a51598378418080f64a7259adb60dac4048", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=(R.from_euler('y',-15,degrees=True)*R.from_quat([.70710678,.70710678,0,0])).as_quat().tolist()\narm([.36,-.08,-.26]+q)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_d7b22b802f2d4b3eac6006dce81303df|fc_01274be167383a88016adc4dc4e77481a3914aa356b34bea01", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.4792178503694236, 1.4110825386086334, 0.9101341308337697, 0.7283127975910334, -1.2300697126221436, -0.5527916806387162, -0.5419995181895886], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.3670726467242276, -0.08621608841910954, -0.21398912113437435, 0.6667737646820274, 0.7115677191781277, 0.1355921887285182, 0.17521097600094504], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 726.24,\n \"depth_file\": \"/tmp/roboenv-images-_ijzxez1/d477d31054351179.pgm\",\n \"file\": \"/tmp/roboenv-images-_ijzxez1/d477d31054351179.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/46fa2b8dcaee975f580655597cd51dcbc518df9f536c268b0e0df5bc8d4612a3.png", + "sha256": "46fa2b8dcaee975f580655597cd51dcbc518df9f536c268b0e0df5bc8d4612a3", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=palm()['pose'][3:]\narm([.25,-.08,-.26]+q)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_de4569c5452a46f993fcbbed6c8f7b0d|fc_01274be167383a88016adc4dd5c8c481a3afb956f78735c8ff", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.012475991484641027, 1.269097246864717, 0.917030201358528, 1.2837120953024257, -0.9412893561181576, -0.37952636519876437, -0.7662739803922397], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.25888935917272005, -0.08153197604321587, -0.218063950713805, 0.5934043554157171, 0.7380523659807222, 0.2342057660245246, 0.21976722959709236], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 733.64,\n \"depth_file\": \"/tmp/roboenv-images-v950xg4i/091890e419089b6f.pgm\",\n \"file\": \"/tmp/roboenv-images-v950xg4i/091890e419089b6f.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/6ca9a39e3db72ad18feedae2f66628a4896f154e61d9f541a88aa1a97eca9a4c.png", + "sha256": "6ca9a39e3db72ad18feedae2f66628a4896f154e61d9f541a88aa1a97eca9a4c", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=-.15,t=.7));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_fce7fc56f26749a0b69aec76bacb382f|fc_01274be167383a88016adc4df3b3a081a38c219f7945c080a9", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.980654776096344, 'velocities': [0.01261365009502721, -0.007351995270841065, -0.0013147512876164871, 0.0019487168174237013, 0.00977202970534563, -0.00499296048656106], 'faults': [], 'timestamp': 746.9}\\n\",\n \"result\": {\n \"timestamp\": 746.92,\n \"depth_file\": \"/tmp/roboenv-images-k3q7zc6f/e758bdc22079fde8.pgm\",\n \"file\": \"/tmp/roboenv-images-k3q7zc6f/e758bdc22079fde8.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/91cbd0206a67cf77e5e312a307c53cb4caea09553080b0859023a0d6461650a5.png", + "sha256": "91cbd0206a67cf77e5e312a307c53cb4caea09553080b0859023a0d6461650a5", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import cv2;print(cv2.__version__)\nfrom kinex import device\nprint(device('head'));print(device('base'))" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_22c0f9ac7fc5475389676f6e17246148|fc_01274be167383a88016adc4e19581081a3a828d54bce3d7245", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"4.14.0\\n{'positions': [0.00042657364974729717, 0.4014136493206024], 'velocities': [-2.6880181394517422e-05, 0.0019950999412685633], 'efforts': [], 'faults': [], 'timestamp': 761.16}\\n{'height_m': 0.9808427095413208, 'velocities': [0.00018091302472589328, 0.0005997008447886636, -0.0025447132199740465, 0.0027750027365982533, -0.0013235938968136907, -0.00043051611282862723], 'faults': [], 'timestamp': 761.1800000000001}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device,finish\ndevice('base','write',{'mode':'locomotion','velocity':{'vx':-.2,'vy':0,'wz':0},'duration_s':2})\nfor i in range(4):\n device('world','wait',{'duration_s':.5});print(device('base'))\ndevice('world','wait',{'duration_s':2});r=device('head_camera','read',{'output':'file'});finish(r,file=r['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_867a815a632641899ade941dd09a23d9|fc_01274be167383a88016adc4e25a45c81a39cccb4c65209d376", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9796983599662781, 'velocities': [-0.1295052913351357, -0.0008125707759103218, 0.005507016968715178, -0.055533766746520996, -0.03773541748523712, 0.11731132864952087], 'faults': [], 'timestamp': 767.1}\\n{'height_m': 0.9806870818138123, 'velocities': [-0.053633820581367696, -0.02006765011565286, -0.006340270659887558, 0.019327791407704353, 0.00664264801889658, 0.07699168473482132], 'faults': [], 'timestamp': 767.64}\\n{'height_m': 0.980625331401825, 'velocities': [-0.012472822874190954, -0.05249532470904853, 0.0004705973700330374, 0.04333425685763359, 0.029100339859724045, 0.06750544905662537], 'faults': [], 'timestamp': 768.1800000000001}\\n{'height_m': 0.9800874590873718, 'velocities': [0.044838916711286654, -0.023593828377316082, 0.00954625598826001, -0.08151593804359436, -0.023751405999064445, 0.009813345968723297], 'faults': [], 'timestamp': 768.72}\\n\",\n \"result\": {\n \"timestamp\": 770.76,\n \"depth_file\": \"/tmp/roboenv-images-2alysfhl/91fe1813ed03bb83.pgm\",\n \"file\": \"/tmp/roboenv-images-2alysfhl/91fe1813ed03bb83.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/1ecdf11540f9b85f6c2cc3c262ac9f3bf7936e9453a08caa2ad5a68dd82ef8a6.png", + "sha256": "1ecdf11540f9b85f6c2cc3c262ac9f3bf7936e9453a08caa2ad5a68dd82ef8a6", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=-.4,t=2));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_1d18c7384b3e404db01daf4f7c422f94|fc_01274be167383a88016adc4e39a97481a3982de57de656233c", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9822374582290649, 'velocities': [-0.042066485079025176, -0.01993764924023972, -0.010774211967751102, 0.0027103268075734377, 0.012513949535787106, -0.09417479485273361], 'faults': [], 'timestamp': 780.84}\\n\",\n \"result\": {\n \"timestamp\": 780.86,\n \"depth_file\": \"/tmp/roboenv-images-3wbsf1qw/60e1fdd719f889ba.pgm\",\n \"file\": \"/tmp/roboenv-images-3wbsf1qw/60e1fdd719f889ba.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/ae761ab53680816ab898a11ff0cb3da616e7b120506b05705363dee12464a981.png", + "sha256": "ae761ab53680816ab898a11ff0cb3da616e7b120506b05705363dee12464a981", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=-.4,t=1.2));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_9893f4325916470ca91e404a18ce019f|fc_01274be167383a88016adc4e50f40481a3916143b0bd65172a", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.982822060585022, 'velocities': [-0.0019333283967809833, -0.0026620902953912676, 0.001354481761993683, -0.01956811174750328, -0.0003825635649263859, -0.004520717542618513], 'faults': [], 'timestamp': 791.58}\\n\",\n \"result\": {\n \"timestamp\": 791.6,\n \"depth_file\": \"/tmp/roboenv-images-_ld9nmch/090609a97de553e7.pgm\",\n \"file\": \"/tmp/roboenv-images-_ld9nmch/090609a97de553e7.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/146a7a86e20ee4e311c23e45a91087c35fe6f867036d5c36074a94e61566c890.png", + "sha256": "146a7a86e20ee4e311c23e45a91087c35fe6f867036d5c36074a94e61566c890", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=-.4,t=1.6));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_b9181ebc24ea4f4fa122d1297129fc5a|fc_01274be167383a88016adc4e5f0f7c81a3ab2efb093b1f9fc0", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9818796515464783, 'velocities': [0.004533515124982507, 0.0031208688122693366, -0.001675236463670232, -0.00021361256949603558, 0.0026269294321537018, -0.018160207197070122], 'faults': [], 'timestamp': 799.8000000000001}\\n\",\n \"result\": {\n \"timestamp\": 799.82,\n \"depth_file\": \"/tmp/roboenv-images-3xf0ph4m/1c4bd2adfda2ebca.pgm\",\n \"file\": \"/tmp/roboenv-images-3xf0ph4m/1c4bd2adfda2ebca.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/f55513142341cdcb5d088c1de6881a26ac52245198fe4f1fe02272be724d0b8b.png", + "sha256": "f55513142341cdcb5d088c1de6881a26ac52245198fe4f1fe02272be724d0b8b", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=-.5,t=2));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_6ef9d781fdd54a879f1ce2292004c873|fc_01274be167383a88016adc4e77aa2481a3b948313dea8f9a33", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9790652990341187, 'velocities': [-0.036896887758658174, 0.044160683400048424, -0.006655335577795784, -0.017039798200130463, -0.012580791488289833, 0.0013688290491700172], 'faults': [], 'timestamp': 811.48}\\n\",\n \"result\": {\n \"timestamp\": 811.5,\n \"depth_file\": \"/tmp/roboenv-images-89x9ycdl/1713b1e3e292f520.pgm\",\n \"file\": \"/tmp/roboenv-images-89x9ycdl/1713b1e3e292f520.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/c697424699773aa1be2fb4ccffe15e8c936308ec375aa052b6884602292ef7cb.png", + "sha256": "c697424699773aa1be2fb4ccffe15e8c936308ec375aa052b6884602292ef7cb", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.25,t=1.2));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_01151c499cdb4d1daeba9f25b183c4ac|fc_01274be167383a88016adc4e8a33e881a3b4890d1372296051", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9814031720161438, 'velocities': [0.003219103181012873, -0.0012936993394533668, -0.003967979736856886, 0.015167889185249805, 0.001555868424475193, -0.009538761340081692], 'faults': [], 'timestamp': 820.58}\\n\",\n \"result\": {\n \"timestamp\": 820.6,\n \"depth_file\": \"/tmp/roboenv-images-5jkdvlze/d5ead8c423e7c8d8.pgm\",\n \"file\": \"/tmp/roboenv-images-5jkdvlze/d5ead8c423e7c8d8.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/3743fb11f25227fc4b56ec9b615e0f8f6c1e7336ac80e7e79b508eafb6c4ca29.png", + "sha256": "3743fb11f25227fc4b56ec9b615e0f8f6c1e7336ac80e7e79b508eafb6c4ca29", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(410,276),(433,258),(480,236)])[1])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_a2965148a37e468e8ff3d29aa24b9754|fc_01274be167383a88016adc4e9d68cc81a38a49ecfd3566b8fa", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.4941400864313217, -0.10204662143412473, -0.2819268648756226], [0.5247008771518994, -0.14052306140364934, -0.28044516622896565], [0.5696745798197727, -0.22353573562800033, -0.2876282480303811]]\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\ndevice('right_hand','write',{'actions':[[0,0,0,0,0,0]],'duration_s':.8})\nq=R.from_euler('y',135,degrees=True).as_quat().tolist()\narm([.43,-.12,-.235]+q)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_d37fb6be1cae489497415bbe3c4276c1|fc_01274be167383a88016adc4eb1765c81a3bd6a0902400e59d3", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.8611464318853124, 1.465045352621761, 2.059488517, 0.3891324193728762, -0.684160990526858, -0.2496398168277722, -0.16546239850699163], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.4394837849773088, -0.11256554502691685, -0.19945253869471147, -0.005487623446915917, 0.9083072597863506, 0.035493300247554975, 0.41675896324596645], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 838.78,\n \"depth_file\": \"/tmp/roboenv-images-m5lejolj/ed8bf355cfb95c67.pgm\",\n \"file\": \"/tmp/roboenv-images-m5lejolj/ed8bf355cfb95c67.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/2ac884b07ceb6ee05d5a574ce79e309c4bfd3e9bd013e044760738e73c1d1d3e.png", + "sha256": "2ac884b07ceb6ee05d5a574ce79e309c4bfd3e9bd013e044760738e73c1d1d3e", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=R.from_euler('y',150,degrees=True).as_quat().tolist()\narm([.43,-.12,-.27]+q)\nprint(device('right_hand'))\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_d3f64dc46cbf4a8bb55c5b5770bcf902|fc_01274be167383a88016adc4ec631bc81a39da77c27f3b1a57b", + "isError": true, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 1,\n \"output\": \"Traceback (most recent call last):\\n File \\\"\\\", line 198, in _run_module_as_main\\n File \\\"\\\", line 88, in _run_code\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/_exec.py\\\", line 27, in \\n exec(compile(_request[\\\"source\\\"], \\\"\\\", \\\"exec\\\"), module.__dict__)\\n File \\\"\\\", line 4, in \\n File \\\"/workspace/.kinex/tools/book_transfer.py\\\", line 41, in arm\\n sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']})\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 130, in device\\n return _device_result(\\\"device\\\", values, _rpc({\\\"call\\\": \\\"device\\\", **values})[\\\"result\\\"])\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 91, in _rpc\\n raise RPCError(response.get(\\\"error\\\", \\\"harness call failed\\\"),\\nkinex.RPCError: driver for \\\"right_arm\\\" failed: IK search exhausted (attempt budget); seeds_attempted=5, iterations=1000, elapsed_ms=352.514, position_error_m=0.03404459676911402, rotation_error_rad=0.15787761612858842\\n\",\n \"error\": \"script exited with code 1\\nTraceback (most recent call last):\\n File \\\"\\\", line 198, in _run_module_as_main\\n File \\\"\\\", line 88, in _run_code\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/_exec.py\\\", line 27, in \\n exec(compile(_request[\\\"source\\\"], \\\"\\\", \\\"exec\\\"), module.__dict__)\\n File \\\"\\\", line 4, in \\n File \\\"/workspace/.kinex/tools/book_transfer.py\\\", line 41, in arm\\n sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']})\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 130, in device\\n return _device_result(\\\"device\\\", values, _rpc({\\\"call\\\": \\\"device\\\", **values})[\\\"result\\\"])\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 91, in _rpc\\n raise RPCError(response.get(\\\"error\\\", \\\"harness call failed\\\"),\\nkinex.RPCError: driver for \\\"right_arm\\\" failed: IK search exhausted (attempt budget); seeds_attempted=5, iterations=1000, elapsed_ms=352.514, position_error_m=0.03404459676911402, rotation_error_rad=0.15787761612858842\"\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=R.from_euler('y',150,degrees=True).as_quat().tolist()\narm([.40,-.12,-.25]+q)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_c8e22a0c026d4ec2ba4239887dcb6d53|fc_01274be167383a88016adc4ed16b5481a38e22610b426e12aa", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.5511264681227283, 1.435072063160514, 0.7876305806340362, 0.5594448831841867, 0.7423985720070561, -0.30843478810394614, 0.37437518170350687], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.4066381766841889, -0.12419285591125241, -0.21277122321162173, 0.002333527090276487, 0.9569166455497847, 0.0016131751628764332, 0.2903489035401382], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 851.14,\n \"depth_file\": \"/tmp/roboenv-images-zslaz9p6/29a40dd78fe5c46b.pgm\",\n \"file\": \"/tmp/roboenv-images-zslaz9p6/29a40dd78fe5c46b.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/2d8db4fa68c27d495fc4cdd118f9bf32b89c81179b4a9c4f371a6e398d6f0f92.png", + "sha256": "2d8db4fa68c27d495fc4cdd118f9bf32b89c81179b4a9c4f371a6e398d6f0f92", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device\nfrom scipy.spatial.transform import Rotation as R\nq=R.from_euler('y',150,degrees=True).as_quat().tolist()\nfor p in [[.45,-.12,-.22],[.46,-.15,-.22],[.43,-.12,-.23]]:\n try: print(p,device('right_arm','ik',{'pose':p+q}))\n except Exception as e:print(str(e)[-100:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_ea65be26885b45f6832fb5d57a73e97f|fc_01274be167383a88016adc4ee5479481a39aee705a669d7609", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"0, elapsed_ms=359.151, position_error_m=0.01007119795972326, rotation_error_rad=0.011089944847520662\\n, elapsed_ms=355.877, position_error_m=0.012552968902452517, rotation_error_rad=0.010123551786415268\\n[0.43, -0.12, -0.23] {'joints': [-0.6050221122907031, 1.458192215236911, 0.6675138879227127, 0.543583203638159, 0.8615481850032166, -0.27788926741555536, 0.47225689389353287], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(399,274),(421,252),(480,215)])[1])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_46aa239bbe5d459d8999ddff8b6e27c5|fc_01274be167383a88016adc4ef1a13c81a38552accb3df7f7bb", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.49949424887998267, -0.08650074671399874, -0.2856371517845701], [0.5371075645105634, -0.12401985071491875, -0.28326303826672433], [0.6057634754332797, -0.2281171555404171, -0.28028112514663234]]\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.12,t=.25));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_24f6d16b6b8d47118643ed9ea1bb0a0d|fc_01274be167383a88016adc4f00896881a3971eaa28a736723b", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9828338027000427, 'velocities': [-0.0005556533531718056, -0.0014399867741798824, -0.00032676271291580975, 0.0021094928961247206, -0.0016705701127648354, 0.0021553959231823683], 'faults': [], 'timestamp': 871.74}\\n\",\n \"result\": {\n \"timestamp\": 871.76,\n \"depth_file\": \"/tmp/roboenv-images-tqht10k6/b26d8b72342f1bfa.pgm\",\n \"file\": \"/tmp/roboenv-images-tqht10k6/b26d8b72342f1bfa.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/d5f0a2ea46d53ca3faaf7e34cb24cac1fe859ad4dfa55527059e4bc0f44c75d4.png", + "sha256": "d5f0a2ea46d53ca3faaf7e34cb24cac1fe859ad4dfa55527059e4bc0f44c75d4", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.12,t=.5));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_b95c9a52ad02432e9cd815be7ee7ba0f|fc_01274be167383a88016adc4f0e243c81a3b807ab5f96133784", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9828459620475769, 'velocities': [-0.0004210155087889495, 0.001324903265257344, -0.0010391522998386147, 0.0018231034046038985, -0.0011092633940279484, -0.007084478158503771], 'faults': [], 'timestamp': 878.86}\\n\",\n \"result\": {\n \"timestamp\": 878.88,\n \"depth_file\": \"/tmp/roboenv-images-o3__5xcv/f72d26b28b5410ba.pgm\",\n \"file\": \"/tmp/roboenv-images-o3__5xcv/f72d26b28b5410ba.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/201eef700ad235f4fae17c73be91fda903b33cd1e4dcbe3e90fce282e1ac96db.png", + "sha256": "201eef700ad235f4fae17c73be91fda903b33cd1e4dcbe3e90fce282e1ac96db", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nq=R.from_euler('y',150,degrees=True).as_quat().tolist()\narm([.30,-.12,-.25]+q,duration=3)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_d27570d5b95d44b696c025efcefecfdd|fc_01274be167383a88016adc4f22e5c481a38d5f8db0dfb830a5", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"ik {'joints': [-0.13716312629491495, 1.2508375962943188, 0.7614737045065371, 1.2089479310187194, 0.9015707536186998, -0.5394558589378338, 0.5005645346348481], 'frame': 'palm', 'reference_frame': None}\\nmeasured palm {'pose': [0.3125962486504653, -0.11865608000538255, -0.21455007524016542, -0.03816542808038787, 0.9510072130017064, 0.06519450211038193, 0.29979719447110786], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 887.3000000000001,\n \"depth_file\": \"/tmp/roboenv-images-4ow45oxi/616e69032c37d3b9.pgm\",\n \"file\": \"/tmp/roboenv-images-4ow45oxi/616e69032c37d3b9.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/ff470d4df2deda9a6b31d6aa40fb28ff19cf9c062500c3b5097326dddb326779.png", + "sha256": "ff470d4df2deda9a6b31d6aa40fb28ff19cf9c062500c3b5097326dddb326779", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=-.3,t=1.5));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_2ce83c459026462e8d7815deea89e40f|fc_01274be167383a88016adc4f37c0ec81a3a571b155af3a2795", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9831950664520264, 'velocities': [-0.018851098976032314, -0.0028728261121996434, -0.0006225595136680874, -0.0009800931438803673, -0.01427572499960661, -0.030592158436775208], 'faults': [], 'timestamp': 896.46}\\n\",\n \"result\": {\n \"timestamp\": 896.48,\n \"depth_file\": \"/tmp/roboenv-images-iqswj_r4/8efd659eccb18078.pgm\",\n \"file\": \"/tmp/roboenv-images-iqswj_r4/8efd659eccb18078.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/2ffa463b0b4e11441303fc572ef5261b84a7a83c4aac99e6ced1e4d142e1a70a.png", + "sha256": "2ffa463b0b4e11441303fc572ef5261b84a7a83c4aac99e6ced1e4d142e1a70a", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "write", + "arguments": { + "path": ".kinex/tools/rgbd_tracking.py", + "content": "\"\"\"Static-scene RGBD odometry for short visually verified robot movements.\nEstimates transform between successive camera captures; do not treat moved objects as static.\n\"\"\"\nimport cv2\nimport numpy as np\nfrom scipy.spatial.transform import Rotation as R\nfrom kinex import device, profile, call\nfrom kinex.camera import read_depth, ray\n\ndef capture():\n p=profile('head_camera')['intrinsics']\n s=device('head_camera','read',{'output':'file'})\n w,h,d=read_depth(s['depth_file'],p['depth'])\n tf=call('relative_pose',child={'frame':'head_camera'},parent={'frame':'base'})['pose']\n return {'shot':s,'depth':np.array(d).reshape(h,w)*p['depth']['scale_m_per_unit'],'tf':tf,'profile':p,'gray':cv2.imread(s['file'],0)}\n\ndef points(cap,uv):\n uv=np.array(uv);ij=np.rint(uv).astype(int)\n z=cap['depth'][ij[:,1],ij[:,0]]\n return np.array([ray(cap['profile']['color'],u,v) for u,v in uv])*z[:,None]\n\ndef rigid(a,b):\n ac=a.mean(0);bc=b.mean(0)\n u,s,v=np.linalg.svd((a-ac).T@(b-bc));rot=v.T@u.T\n if np.linalg.det(rot)<0:v[-1]*=-1;rot=v.T@u.T\n return rot,bc-rot@ac\n\ndef motion(old,new):\n det=cv2.SIFT_create(nfeatures=2000)\n k1,d1=det.detectAndCompute(old['gray'],None);k2,d2=det.detectAndCompute(new['gray'],None)\n pairs=cv2.BFMatcher().knnMatch(d1,d2,k=2)\n m=[x for x,y in pairs if x.distance<.7*y.distance]\n a=points(old,[k1[x.queryIdx].pt for x in m]);b=points(new,[k2[x.trainIdx].pt for x in m])\n good=(a[:,2]>.05)&(b[:,2]>.05)&(a[:,2]<5)&(b[:,2]<5);a=a[good];b=b[good]\n if len(a)<8:raise ValueError('insufficient static correspondences')\n rng=np.random.default_rng(5);best=[]\n for _ in range(400):\n ix=rng.choice(len(a),3,replace=False);rot,t=rigid(a[ix],b[ix]);e=np.linalg.norm(a@rot.T+t-b,axis=1);ix=np.where(e<.015)[0]\n if len(ix)>len(best):best=ix\n if len(best)<8:raise ValueError('odometry fit failed')\n rot,t=rigid(a[best],b[best]);err=np.linalg.norm(a[best]@rot.T+t-b[best],axis=1)\n print('static odometry',{'inliers':len(best),'matches':len(a),'rms':float(np.sqrt(np.mean(err**2)))})\n return rot,t\n\ndef transfer(xyz,old,new):\n rot,t=motion(old,new)\n cam_old=R.from_quat(old['tf'][3:]).inv().apply(np.asarray(xyz)-old['tf'][:3])\n cam_new=rot@cam_old+t\n return R.from_quat(new['tf'][3:]).apply(cam_new)+new['tf'][:3]\n" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "write", + "toolCallId": "call_ee73c09ff9d7464eb17623bce8153fb8|fc_01274be167383a88016adc4f5e024c81a3b1ffbfcc3d042916", + "isError": false, + "content": [ + { + "type": "text", + "text": "Successfully wrote to .kinex/tools/rgbd_tracking.py" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys,pickle;sys.path.insert(0,'.kinex/tools');from rgbd_tracking import *\nfrom kinex import finish\nc=capture();uv=[(416,124),(501,111),(527,154),(439,176)]\npts=R.from_quat(c['tf'][3:]).apply(points(c,uv))+c['tf'][:3];print(pts);print('center',pts.mean(0))\npickle.dump({'cap':c,'pts':pts},open('/tmp/book_track.pkl','wb'));finish(c['shot'],file=c['shot']['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_88cb263b8a6c451ba68dd80221d7b925|fc_01274be167383a88016adc4f76aed881a381b52044180f38e7", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[ 0.81222966 -0.14534837 -0.27813998]\\n [ 0.84589808 -0.31097203 -0.27710082]\\n [ 0.7393415 -0.3365322 -0.2802815 ]\\n [ 0.69555588 -0.17481359 -0.2888591 ]]\\ncenter [ 0.77325628 -0.24191655 -0.28109535]\\n\",\n \"result\": {\n \"timestamp\": 922.72,\n \"depth_file\": \"/tmp/roboenv-images-6crl1vom/2cbd8300d8cba2c7.pgm\",\n \"file\": \"/tmp/roboenv-images-6crl1vom/2cbd8300d8cba2c7.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/ba0bdbb643b411ac21a5b85219c48cc506f052ec6dac73318f876838b5a5d272.png", + "sha256": "ba0bdbb643b411ac21a5b85219c48cc506f052ec6dac73318f876838b5a5d272", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys,pickle;sys.path.insert(0,'.kinex/tools');from rgbd_tracking import *\nfrom book_transfer import move\nfrom kinex import finish\nold=pickle.load(open('/tmp/book_track.pkl','rb'));print(move(vx=.25,t=.9));c=capture();rot,t=motion(old['cap'],c)\na=R.from_quat(old['cap']['tf'][3:]).inv().apply(old['pts']-old['cap']['tf'][:3]);pts=R.from_quat(c['tf'][3:]).apply(a@rot.T+t)+c['tf'][:3];print(pts);print('center',pts.mean(0));pickle.dump({'cap':c,'pts':pts},open('/tmp/book_track.pkl','wb'));finish(c['shot'],file=c['shot']['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_b56c0e86bf704d54b187164dc2fe7534|fc_01274be167383a88016adc4f8709a081a3b3b0ac070f5995f3", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9830403327941895, 'velocities': [0.004143763392603725, -0.0014014678120710163, 1.0910015403364743e-05, -0.0009278193465434015, 0.004699296317994595, -0.004688784014433622], 'faults': [], 'timestamp': 933.6800000000001}\\nstatic odometry {'inliers': 12, 'matches': 34, 'rms': 0.008512615400173479}\\n[[ 0.81070539 -0.14760889 -0.27569639]\\n [ 0.84416444 -0.31327232 -0.27429598]\\n [ 0.73756989 -0.33870414 -0.27722348]\\n [ 0.69397536 -0.17695194 -0.2861345 ]]\\ncenter [ 0.77160377 -0.24413432 -0.27833759]\\n\",\n \"result\": {\n \"timestamp\": 933.7,\n \"depth_file\": \"/tmp/roboenv-images-lui8cnb5/0c3e5e4fb3036d59.pgm\",\n \"file\": \"/tmp/roboenv-images-lui8cnb5/0c3e5e4fb3036d59.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/9f529a16f0025b76e4804369f643f7728a6208cfd169872f4dc943f0c520ab67.png", + "sha256": "9f529a16f0025b76e4804369f643f7728a6208cfd169872f4dc943f0c520ab67", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(509,224),(458,246),(574,238)])[1]);print(device('head'));print(device('base'))" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_fdab5d9962b74890b353ea7cee886ca4|fc_01274be167383a88016adc4f9aa0b881a3a4f45dc668c4679a", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.5899782375814002, -0.2730642292638061, -0.2831569964772087], [0.5503059755617861, -0.18480150377717391, -0.2868105435293975], [0.572870517743458, -0.38093511144778736, -0.29864630900241507]]\\n{'positions': [0.000253271748078987, 0.40142107009887695], 'velocities': [-7.852705311961472e-05, 2.3099182726582512e-05], 'efforts': [], 'faults': [], 'timestamp': 939.62}\\n{'height_m': 0.9830434918403625, 'velocities': [-0.00015448644711752902, -0.000230684696325226, -0.0004217823103372325, -0.0005670818500220776, 0.000363691127859056, -7.368265505647287e-05], 'faults': [], 'timestamp': 939.64}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "edit", + "arguments": { + "path": ".kinex/tools/rgbd_tracking.py", + "edits": [ + { + "oldText": "k1,d1=det.detectAndCompute(old['gray'],None);k2,d2=det.detectAndCompute(new['gray'],None)", + "newText": "mask=np.zeros_like(old['gray']);mask[:300,:]=255\n k1,d1=det.detectAndCompute(old['gray'],mask);k2,d2=det.detectAndCompute(new['gray'],mask)" + }, + { + "oldText": "if len(best)<8:raise ValueError('odometry fit failed')", + "newText": "if len(best)<15:raise ValueError('odometry fit failed: insufficient static-scene support')" + } + ] + } + } + ] + }, + { + "role": "toolResult", + "toolName": "edit", + "toolCallId": "call_5b54f6cabee24f4ebf5ce4dbb73f4b3b|fc_01274be167383a88016adc4faa8eb081a3911afd7276852f92", + "isError": false, + "content": [ + { + "type": "text", + "text": "Successfully replaced 2 block(s) in .kinex/tools/rgbd_tracking.py." + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys,pickle;sys.path.insert(0,'.kinex/tools');from rgbd_tracking import *\nfrom book_transfer import move\nfrom kinex import finish\nc=capture();uv=[(460,218),(562,201),(570,239),(461,253)];pts=R.from_quat(c['tf'][3:]).apply(points(c,uv))+c['tf'][:3];print('before',pts)\nprint(move(vx=.25,t=.8));n=capture()\ntry:\n rot,t=motion(c,n);a=R.from_quat(c['tf'][3:]).inv().apply(pts-c['tf'][:3]);p=R.from_quat(n['tf'][3:]).apply(a@rot.T+t)+n['tf'][:3];print('after',p);pickle.dump({'cap':n,'pts':p},open('/tmp/book_track.pkl','wb'))\nexcept Exception as e:print(e)\nfinish(n['shot'],file=n['shot']['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_fe83abc8a9374eb690949a59a555f8c1|fc_01274be167383a88016adc4fb931c481a3a3ae0ec7da528ed2", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"before [[ 0.60221725 -0.19550477 -0.28372273]\\n [ 0.6614062 -0.39358881 -0.31624554]\\n [ 0.57148626 -0.3743957 -0.29951591]\\n [ 0.53785502 -0.18774088 -0.28754821]]\\n{'height_m': 0.9809279441833496, 'velocities': [-0.00031119769170458275, 0.0002554140935988552, -0.001180020464674214, 0.00028973264852538705, 0.0008472652989439666, -0.0031245220452547073], 'faults': [], 'timestamp': 958.12}\\nodometry fit failed: insufficient static-scene support\\n\",\n \"result\": {\n \"timestamp\": 958.14,\n \"depth_file\": \"/tmp/roboenv-images-9y35ab2p/848bdb21598519f2.pgm\",\n \"file\": \"/tmp/roboenv-images-9y35ab2p/848bdb21598519f2.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/1650582afd54f729d68d932e848fb91d9e41927e4074ef3372c60395f0349841.png", + "sha256": "1650582afd54f729d68d932e848fb91d9e41927e4074ef3372c60395f0349841", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "device_stop", + "arguments": { + "reason": "Close to cabinet side; stop to inspect clearance before reaching." + } + } + ] + }, + { + "role": "toolResult", + "toolName": "device_stop", + "toolCallId": "call_03e2195aab024e6887794ce77c4caba2|fc_01274be167383a88016adc4fcec96481a3a11d29779dc54d65", + "isError": false, + "content": [ + { + "type": "text", + "text": "base: stopped (stand; affects base)\nhead: stopped (hold; affects head)\nleft_arm: stopped (hold; affects left_arm)\nleft_hand: stopped (hold; affects left_hand)\nright_arm: stopped (hold; affects right_arm)\nright_hand: stopped (hold; affects right_hand)" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=-.35,t=1.5));print(move(vy=-.5,t=1.5));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_00d40c8da54f468696eb75ac11e44757|fc_01274be167383a88016adc4ff0697881a388967540ea52794b", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9817812442779541, 'velocities': [-0.017715770753026553, -0.023603385035014815, -0.002121317831595091, 0.01196212973445654, -0.02083905227482319, -0.00884230900555849], 'faults': [], 'timestamp': 983.88}\\n{'height_m': 0.9819561243057251, 'velocities': [-0.0008492732749051612, -0.028616079967744377, -0.0013635853855121659, 0.005227725021541119, -0.017527978867292404, 0.025854678824543953], 'faults': [], 'timestamp': 987.46}\\n\",\n \"result\": {\n \"timestamp\": 987.48,\n \"depth_file\": \"/tmp/roboenv-images-0i65n61v/929539a9a8c01f41.pgm\",\n \"file\": \"/tmp/roboenv-images-0i65n61v/929539a9a8c01f41.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/e2caf99339068f5e58eb52201ecd81af53897446cba346ac8245fb665561ebab.png", + "sha256": "e2caf99339068f5e58eb52201ecd81af53897446cba346ac8245fb665561ebab", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=.5,t=2.5));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_504f4c98482c433ea2098af7a639a7f6|fc_01274be167383a88016adc500a30dc81a39b13a22161caabed", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9820277094841003, 'velocities': [0.0012049596262914033, 0.008519250652207455, -0.0032686239438602634, 0.009022746235132217, 0.0018146190559491515, -0.005572057329118252], 'faults': [], 'timestamp': 997.78}\\n\",\n \"result\": {\n \"timestamp\": 997.8000000000001,\n \"depth_file\": \"/tmp/roboenv-images-xz0nrbw6/d005acd7f5937419.pgm\",\n \"file\": \"/tmp/roboenv-images-xz0nrbw6/d005acd7f5937419.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/8aaff0b8e93427819d7f79e40818123501081c299096e577042b1d28422a449c.png", + "sha256": "8aaff0b8e93427819d7f79e40818123501081c299096e577042b1d28422a449c", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vy=-.3,t=.6));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_b81500416ebc46dd80094e039bdb3b73|fc_01274be167383a88016adc5021824081a3ab8008074cdfc368", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9810606241226196, 'velocities': [0.0004196392080877571, 0.01410294684760968, -0.0009358269063581541, -0.002299129031598568, 0.001285719801671803, -0.0008099753176793456], 'faults': [], 'timestamp': 1007.78}\\n\",\n \"result\": {\n \"timestamp\": 1007.8000000000001,\n \"depth_file\": \"/tmp/roboenv-images-zqnt03kw/2b9e49bf868c001e.pgm\",\n \"file\": \"/tmp/roboenv-images-zqnt03kw/2b9e49bf868c001e.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/1dbbb93f6302fc1b1bc20954c66af54e86ea588c5c2acd59fd819b968a94ac1e.png", + "sha256": "1dbbb93f6302fc1b1bc20954c66af54e86ea588c5c2acd59fd819b968a94ac1e", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vy=-.3,t=.4));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_b25d2aa987bd4ff099d82b78272142a1|fc_01274be167383a88016adc50317d7881a3957e731eb6d1133a", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9797943830490112, 'velocities': [-0.003826482295050005, 0.008197076675677447, -0.002209418507069674, 3.319057577755302e-05, -0.0007957132183946669, -0.007055903784930706], 'faults': [], 'timestamp': 1016.0600000000001}\\n\",\n \"result\": {\n \"timestamp\": 1016.08,\n \"depth_file\": \"/tmp/roboenv-images-yqjgvxx1/95f4d4cefccec0c7.pgm\",\n \"file\": \"/tmp/roboenv-images-yqjgvxx1/95f4d4cefccec0c7.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/48f28f6649c18b296e24d7010af6df50d8cdef6afa8a48b3c3d6663971890fec.png", + "sha256": "48f28f6649c18b296e24d7010af6df50d8cdef6afa8a48b3c3d6663971890fec", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(356,72),(316,55),(398,87)])[1])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_d6930fa98a074c5fa0fa74759971c270|fc_01274be167383a88016adc5044fad881a3a39d25a49bc33251", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.9795331536876657, -0.028239280085321596, -0.29258093033799987], [1.0344227682623313, 0.056273655457333524, -0.2927784705843493], [0.9445180133478281, -0.11439852789629312, -0.3011701882951972]]\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.3,t=1.2));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_cb092210e6e6461dbce456adf977f9a4|fc_01274be167383a88016adc5050fbe081a38a8e757cdacb03ce", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9818923473358154, 'velocities': [0.0027630779621852035, 0.00839796148736485, 0.00010774651060469765, -0.00319845974445343, 0.0026302526239305735, -0.008526170626282692], 'faults': [], 'timestamp': 1030.9}\\n\",\n \"result\": {\n \"timestamp\": 1030.92,\n \"depth_file\": \"/tmp/roboenv-images-p_0anwxd/b1a7819dbf0c1108.pgm\",\n \"file\": \"/tmp/roboenv-images-p_0anwxd/b1a7819dbf0c1108.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/345c78d337b5ab3ef6c23a6bfa21e1368354137362e8c207389ce3c79bd8fd3d.png", + "sha256": "345c78d337b5ab3ef6c23a6bfa21e1368354137362e8c207389ce3c79bd8fd3d", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=.5,t=1.3));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_43dba1fc612643bba2208cd088655bc0|fc_01274be167383a88016adc50655bb081a38da0f3c48606c950", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9817911386489868, 'velocities': [0.004192189066745797, -0.008022131477482269, -0.0023683609553844047, 0.007862922735512257, -0.0014768193941563368, 0.012737086042761803], 'faults': [], 'timestamp': 1040.58}\\n\",\n \"result\": {\n \"timestamp\": 1040.6,\n \"depth_file\": \"/tmp/roboenv-images-iteao3ha/37358f973b5b3bfb.pgm\",\n \"file\": \"/tmp/roboenv-images-iteao3ha/37358f973b5b3bfb.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/68ad960e007931b0275bd7fbf68682a6fbca1a23df18264ec7157ed897af3663.png", + "sha256": "68ad960e007931b0275bd7fbf68682a6fbca1a23df18264ec7157ed897af3663", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.25,t=.9));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_2511466efbc04c8bb2df09e53a75e701|fc_01274be167383a88016adc5078651081a3bd6ad0710eddf43f", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9815889000892639, 'velocities': [-9.18225750483041e-05, 0.0056214580865582035, -9.781783119516463e-05, -0.0004742625169456005, 0.0010450970148667693, 0.01127934455871582], 'faults': [], 'timestamp': 1049.4}\\n\",\n \"result\": {\n \"timestamp\": 1049.42,\n \"depth_file\": \"/tmp/roboenv-images-w6eue7vf/4ada36968721fa7e.pgm\",\n \"file\": \"/tmp/roboenv-images-w6eue7vf/4ada36968721fa7e.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/2f10b7524db7288db65a906e09dc19f4d66f713bb862395c76e5495c37a447e7.png", + "sha256": "2f10b7524db7288db65a906e09dc19f4d66f713bb862395c76e5495c37a447e7", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(348,211),(293,186),(386,170),(405,231),(309,247)])[1])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_8f449d471d6b491d8fa67a6e94be2ba0|fc_01274be167383a88016adc508a219081a3a3bba1928413b65e", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.6242813957404002, -0.00505828151568239, -0.29471148052423624], [0.6768768667388718, 0.09007705895529125, -0.2950712644494905], [0.7147523306571311, -0.07456235383338429, -0.294002353430453], [0.5932451542547607, -0.10032384398896708, -0.3067908085691665], [0.5527947989117661, 0.058853274363246715, -0.29535413499592345]]\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.25,t=.6));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_e8c3e84320bd4ea785c1abd031c7b145|fc_01274be167383a88016adc509b588c81a3afe2c5c377417b5e", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9811648726463318, 'velocities': [0.00015274761307849214, 0.011352759962297376, -0.0015400598122255124, 0.002508586971089244, 0.0014719323953613639, 0.0008294101571664214], 'faults': [], 'timestamp': 1065.66}\\n\",\n \"result\": {\n \"timestamp\": 1065.68,\n \"depth_file\": \"/tmp/roboenv-images-ccq91nfi/94e077d7804c39fb.pgm\",\n \"file\": \"/tmp/roboenv-images-ccq91nfi/94e077d7804c39fb.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/39a88168145311fd72d43e7f802178f7ab0ca8d4f29029ded0e9d2e75560f18f.png", + "sha256": "39a88168145311fd72d43e7f802178f7ab0ca8d4f29029ded0e9d2e75560f18f", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.25,t=.6));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_158e5baf7b194bf79b6f52a038c37f87|fc_01274be167383a88016adc50afdadc81a3ac4cb4272a47bd37", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9813169240951538, 'velocities': [-0.00039028978873219185, 0.0007482360333605027, -0.0011363117012307342, -0.0022049895487725735, -0.0014204435283318162, -0.002369641326367855], 'faults': [], 'timestamp': 1075.38}\\n\",\n \"result\": {\n \"timestamp\": 1075.4,\n \"depth_file\": \"/tmp/roboenv-images-f2pr3y_c/f136db175c06e138.pgm\",\n \"file\": \"/tmp/roboenv-images-f2pr3y_c/f136db175c06e138.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/f00de568afb9f046bcd27c34e9b7eb95669348666f894ca8951caf88fba3e24a.png", + "sha256": "f00de568afb9f046bcd27c34e9b7eb95669348666f894ca8951caf88fba3e24a", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(292,311),(235,341),(348,307),(330,264)])[1])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_5bdbd2f6e8024e7fb0c46d3c291c1ba1|fc_01274be167383a88016adc50c0215c81a38cfabcc7044320b8", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.44452489652237853, 0.08149162284240385, -0.3017654933264664], [0.3970864867970342, 0.16168487422488748, -0.3025182149473299], [0.4519903846882788, -0.0023064608302632503, -0.3013560399704668], [0.5257765106459115, 0.02485095342715377, -0.3020016808415835]]\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=.5,t=.7));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_3d352b5be35a4b3dba4877d4dfef7ee9|fc_01274be167383a88016adc50eb6f6481a3bcfb44ff8a278cc6", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9819037318229675, 'velocities': [-0.0002008423335727582, -0.0005403669302859307, -0.0046893297398725685, -0.0022777302656322718, -0.003662924747914076, -0.002106237458065152], 'faults': [], 'timestamp': 1103.8600000000001}\\n\",\n \"result\": {\n \"timestamp\": 1103.88,\n \"depth_file\": \"/tmp/roboenv-images-q4be50j0/ae3902b8121c689f.pgm\",\n \"file\": \"/tmp/roboenv-images-q4be50j0/ae3902b8121c689f.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/4842ccea4704e6e7550ada03156705c86b8c613646f248dd9dbf1701725ed678.png", + "sha256": "4842ccea4704e6e7550ada03156705c86b8c613646f248dd9dbf1701725ed678", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(282,347),(385,322),(334,336)])[1])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_8906359340aa4a8c8b2887820872d596|fc_01274be167383a88016adc50fc997881a397b53b741bf1a9bd", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.3873353842740388, 0.09299152176787573, -0.29742463156229604], [0.42835184120482284, -0.056120270949800086, -0.30015684273345156], [0.407700505803277, 0.018811087805626507, -0.30537283735305476]]\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device\nfrom scipy.spatial.transform import Rotation as R\nfor side,p in [('right',[.41,-.105,-.23]),('left',[.39,.15,-.23])]:\n q=(R.from_euler('z',15,degrees=True)*R.from_euler('y',-10,degrees=True)*R.from_quat([(.70710678 if side=='right' else -.70710678),.70710678,0,0])).as_quat().tolist()\n try: print(side,p,q,device(side+'_arm','ik',{'pose':p+q}))\n except Exception as e:print(side,str(e)[-120:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_3a4c143211e14e04bf570a51beee3ba7|fc_01274be167383a88016adc510cc13481a3bb52a7577f639e43", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"right [0.41, -0.105, -0.23] [0.6064449079812421, 0.790334391311505, 0.06914529963441822, 0.05305705450138084] {'joints': [-0.7472401750788715, 1.4861990019276463, 0.8842835043308145, 0.3272205069695303, -0.7958573708116261, -0.678933079, 0.007834926547743103], 'frame': 'palm', 'reference_frame': None}\\nleft [0.39, 0.15, -0.23] [-0.790334391311505, 0.6064449079812421, -0.05305705450138084, 0.06914529963441822] {'joints': [-0.5284326910823052, -1.2388392634332317, 0.8053372362300413, -0.8028235911815815, -1.521778984754557, 0.6727903903838197, 0.7205910518553523], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device,devices,finish\nfrom scipy.spatial.transform import Rotation as R\nposes={};calls=[]\nfor side,p in [('right',[.41,-.105,-.24]),('left',[.39,.15,-.24])]:\n q=(R.from_euler('z',15,degrees=True)*R.from_euler('y',-10,degrees=True)*R.from_quat([(.70710678 if side=='right' else -.70710678),.70710678,0,0])).as_quat().tolist();poses[side]=p+q\n sol=device(side+'_arm','ik',{'pose':p+q});calls.extend([{'deviceID':side+'_hand','action':'write','args':{'actions':[[0,0,0,0,0,0]],'duration_s':1}},{'deviceID':side+'_arm','action':'write','args':{'actions':[sol['joints']],'duration_s':3}}])\nprint(devices(calls));device('world','wait',{'duration_s':3.5})\nfor side in ['right','left']:\n s=device(side+'_arm');print(side,device(side+'_arm','fk',{'joints':s['positions']}))\nr=device('head_camera','read',{'output':'file'});finish(r,file=r['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_2758f0238e144a4cbe039459fb13ee73|fc_01274be167383a88016adc5119be1481a38821856be80758de", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'results': [{'deviceID': 'right_hand', 'action': 'write', 'ok': True, 'data': {'execution_id': 'driver-e4d2dbd2ed038f8c', 'state': {'positions': [0.006101569160819054, 0.0063651991076767445, 0.0009060066076926887, 0.0010118382051587105, 0.0009227325790561736, 0.0007087663398124278], 'velocities': [-0.131397545337677, -0.18965691328048706, -0.03764808177947998, -0.03854658454656601, -0.03455745801329613, -0.027114184573292732], 'efforts': [], 'faults': [], 'timestamp': 1125.8600000000001}}}, {'deviceID': 'right_arm', 'action': 'write', 'ok': True, 'data': {'execution_id': 'driver-4d1deb7e6fc89697', 'state': {'positions': [-0.3871873915195465, 0.9264041781425476, 1.2894203662872314, 1.3926903009414673, 0.26838237047195435, -0.5007098913192749, 0.08113030344247818], 'velocities': [-0.003131861798465252, -0.006393282674252987, 0.004167808219790459, 0.01590600237250328, 0.002482101321220398, -0.005683303344994783, 0.006742645055055618], 'efforts': [], 'faults': [], 'timestamp': 1125.8600000000001}}}, {'deviceID': 'left_hand', 'action': 'write', 'ok': True, 'data': {'execution_id': 'driver-2e7115035bac6746', 'state': {'positions': [0.016457585617899895, 9.337762776340242e-07, 0.005226741544902325, 0.004775017499923706, 0.002739924704656005, 0.0006213674787431955], 'velocities': [-0.554961085319519, 1.2256030458956957e-05, -0.3235339820384979, -0.2724691927433014, -0.1674034744501114, -0.05819907784461975], 'efforts': [], 'faults': [], 'timestamp': 1125.88}}}, {'deviceID': 'left_arm', 'action': 'write', 'ok': True, 'data': {'execution_id': 'driver-56343f7711b69246', 'state': {'positions': [0.28148722648620605, -0.590007483959198, 0.3312661051750183, -2.021313428878784, -1.5764472484588623, 0.6005773544311523, 0.925023078918457], 'velocities': [-0.004426620434969664, 0.023368757218122482, -0.01043999195098877, 0.006076982244849205, -0.06813289225101471, -0.005807352252304554, -3.131903940811753e-05], 'efforts': [], 'faults': [], 'timestamp': 1125.8600000000001}}}]}\\nright {'pose': [0.40418480616318886, -0.10916801591454375, -0.22472967784292533, 0.4830982864473774, 0.854832881380824, 0.0753358411719189, 0.17378521679557576], 'frame': 'palm', 'reference_frame': None}\\nleft {'pose': [0.3833014357703328, 0.14430400554520642, -0.22986922067993124, 0.7691411467120348, -0.6293657142350124, 0.038716775853571216, -0.10402742641944629], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 1129.46,\n \"depth_file\": \"/tmp/roboenv-images-9915fy4v/e26955fce23dd11a.pgm\",\n \"file\": \"/tmp/roboenv-images-9915fy4v/e26955fce23dd11a.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/dce6469aa4128e05ee1c176dd5b0254df291d70105853131dda27f5b428dcac2.png", + "sha256": "dce6469aa4128e05ee1c176dd5b0254df291d70105853131dda27f5b428dcac2", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(363,269),(313,306),(417,291),(305,245),(400,226)])[1]);print(palm('right'));print(palm('left'))" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_8545e07ffe014d09b931f01f1df0edc1|fc_01274be167383a88016adc51324ed081a3aca6af4d23d86f08", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.5154421602126793, -0.02720891678570503, -0.29830784445147385], [0.4525551094179776, 0.04992785921964652, -0.3005644564339863], [0.4238428773370125, -0.08293292395895412, -0.18625246021704522], [0.5601823748167918, 0.06516644454045598, -0.301321620139005], [0.5961989538923163, -0.09124791227234003, -0.2965263271578751]]\\n{'pose': [0.40287396153017296, -0.1065172856290631, -0.2245709055368864, 0.50814614122044, 0.8402586280931862, 0.07607473919674647, 0.17310566464989077], 'frame': 'palm', 'reference_frame': None}\\n{'pose': [0.3835958316232423, 0.14382785616987978, -0.22959964182843073, 0.7653849278326251, -0.6331986257388584, 0.033734901531383615, -0.11003349048238066], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device\nfrom scipy.spatial.transform import Rotation as R\nfor side,p in [('right',[.43,-.15,-.24]),('left',[.43,.09,-.24])]:\n q=(R.from_euler('z',15,degrees=True)*R.from_euler('y',-30,degrees=True)*R.from_quat([(.70710678 if side=='right' else -.70710678),.70710678,0,0])).as_quat().tolist()\n try:print(side,p,q,device(side+'_arm','ik',{'pose':p+q}))\n except Exception as e:print(side,str(e)[-110:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_6256c28a2ef24b35b8bb1a023ba06e41|fc_01274be167383a88016adc51517ac881a3a129b353b2f1d6b8", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"right [0.43, -0.15, -0.24] [0.5880183863281625, 0.7663204807600037, 0.2053349539630727, 0.15755905175128307] {'joints': [-0.8032379030469141, 1.3559220019345022, 1.6816267498582687, 0.30572861953014036, -1.5352152131309575, -0.25765672173379683, 0.0451673339191201], 'frame': 'palm', 'reference_frame': None}\\nleft rations=1000, elapsed_ms=351.538, position_error_m=0.014974551833286947, rotation_error_rad=0.1027181286785979\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device\nfrom scipy.spatial.transform import Rotation as R\nfor a in [0,10,20,30]:\n q=(R.from_euler('z',a,degrees=True)*R.from_euler('y',-30,degrees=True)*R.from_quat([-.70710678,.70710678,0,0])).as_quat().tolist()\n try:print(a,q,device('left_arm','ik',{'pose':[.43,.10,-.23]+q}))\n except Exception as e:print(a,str(e)[-100:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_dcb53126ab8d45af93fbdbf418d379ce|fc_01274be167383a88016adc515ed20081a3b81605b641f0a486", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"0 [-0.6830127018922194, 0.6830127018922194, -0.18301270189221933, 0.18301270189221933] {'joints': [-0.6924467571083454, -1.4280099776050896, 1.1268125404620624, -0.47436147800752754, -1.343661282079625, 0.3408326754720038, 0.36945458478466997], 'frame': 'palm', 'reference_frame': None}\\n10 [-0.7399421116938482, 0.6208851530148457, -0.16636567534280194, 0.1982668912741462] {'joints': [-0.6702828734771235, -1.4478306644641645, 1.0118835862419122, -0.4921824126497425, -1.3597306107920484, 0.3312081758428711, 0.5155425376110234], 'frame': 'palm', 'reference_frame': None}\\n20 [-0.7912401152362237, 0.5540322932223234, -0.1484525055496845, 0.21201214989665462] {'joints': [-0.6697176033032627, -1.4956636677777633, 0.9489695897776762, -0.4507846994542395, -1.4094679542241744, 0.25982993148876954, 0.6221003966136379], 'frame': 'palm', 'reference_frame': None}\\n30 0, elapsed_ms=394.781, position_error_m=0.018572718855720795, rotation_error_rad=0.03814307806347812\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "edit", + "arguments": { + "path": ".kinex/tools/book_transfer.py", + "edits": [ + { + "oldText": " print('measured palm',palm(side))\n", + "newText": " print('measured palm',palm(side))\n\ndef dual(poses,duration=2):\n from kinex import devices\n calls=[]\n for side,pose in poses.items():\n s=device(side+'_arm')\n if s.get('faults'): raise RuntimeError(s)\n sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']})\n calls.append({'deviceID':side+'_arm','action':'write','args':{'actions':[sol['joints']],'duration_s':duration}})\n result=devices(calls)\n if not all(r['ok'] for r in result['results']):\n for side in poses: device(side+'_arm','stop')\n raise RuntimeError(result)\n device('world','wait',{'duration_s':duration+1})\n for side in poses: print(side,palm(side))\n" + } + ] + } + } + ] + }, + { + "role": "toolResult", + "toolName": "edit", + "toolCallId": "call_3f09b09124ed4dc5bf940d08874ba1f7|fc_01274be167383a88016adc5169dd7481a39264e02ca5722d40", + "isError": false, + "content": [ + { + "type": "text", + "text": "Successfully replaced 1 block(s) in .kinex/tools/book_transfer.py." + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nposes={}\nfor side,p,a in [('right',[.43,-.15,-.24],15),('left',[.43,.10,-.23],10)]:\n q=(R.from_euler('z',a,degrees=True)*R.from_euler('y',-30,degrees=True)*R.from_quat([(.70710678 if side=='right' else -.70710678),.70710678,0,0])).as_quat().tolist();poses[side]=p+q\ndual(poses)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_e41ab6cbaaa64eae8f8fd13b380f2f9a|fc_01274be167383a88016adc517450f481a397b9be1aa39d54cd", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"right {'pose': [0.43105898143443655, -0.14308752663314445, -0.22382371173330395, 0.5330469154868566, 0.8069347184376366, 0.1662633328378081, 0.19254570943956248], 'frame': 'palm', 'reference_frame': None}\\nleft {'pose': [0.4298395539473183, 0.12811975779343657, -0.22094945101518518, 0.7151795398503, -0.626858954936872, 0.14772748151339554, -0.2715560119030241], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 1166.66,\n \"depth_file\": \"/tmp/roboenv-images-179t0c_u/7196e47521968928.pgm\",\n \"file\": \"/tmp/roboenv-images-179t0c_u/7196e47521968928.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/2c3e0a63bba3ec7ae8f6e7cc735435d711b7126154672634b2794d499e40a695.png", + "sha256": "2c3e0a63bba3ec7ae8f6e7cc735435d711b7126154672634b2794d499e40a695", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nposes={}\nfor side,p,a in [('right',[.43,-.115,-.24],15),('left',[.40,.08,-.25],0)]:\n q=(R.from_euler('z',a,degrees=True)*R.from_euler('y',-30,degrees=True)*R.from_quat([(.70710678 if side=='right' else -.70710678),.70710678,0,0])).as_quat().tolist();poses[side]=p+q\ndual(poses)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_138d73b754c946eeb4ef13efa2372039|fc_01274be167383a88016adc5196e21c81a39b70173e0ec5ea43", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"right {'pose': [0.43610906048584536, -0.13523116294335494, -0.22038577431456263, 0.5152351837469865, 0.7849679664760023, 0.15359086201019026, 0.30784386325328206], 'frame': 'palm', 'reference_frame': None}\\nleft {'pose': [0.4096771301872687, 0.08891430726846741, -0.2192516441598013, -0.6457340335261675, 0.6939869284341588, -0.18302758343134048, 0.2605966323877418], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 1181.18,\n \"depth_file\": \"/tmp/roboenv-images-j8jjmvv8/b084436235b18db3.pgm\",\n \"file\": \"/tmp/roboenv-images-j8jjmvv8/b084436235b18db3.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/7ee8e1f1bee375ea5af50e7147bab65c7310c61744d8503438e57e139b6104bf.png", + "sha256": "7ee8e1f1bee375ea5af50e7147bab65c7310c61744d8503438e57e139b6104bf", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nposes={}\nfor side,p,a in [('right',[.35,-.115,-.12],15),('left',[.32,.08,-.13],0)]:\n q=(R.from_euler('z',a,degrees=True)*R.from_euler('y',-30,degrees=True)*R.from_quat([(.70710678 if side=='right' else -.70710678),.70710678,0,0])).as_quat().tolist();poses[side]=p+q\ndual(poses,duration=3)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_ac960cc04a604310a1bfe1c51a033d54|fc_01274be167383a88016adc51b19bd881a3abb77c1938455808", + "isError": true, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 1,\n \"output\": \"Traceback (most recent call last):\\n File \\\"\\\", line 198, in _run_module_as_main\\n File \\\"\\\", line 88, in _run_code\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/_exec.py\\\", line 27, in \\n exec(compile(_request[\\\"source\\\"], \\\"\\\", \\\"exec\\\"), module.__dict__)\\n File \\\"\\\", line 6, in \\n File \\\"/workspace/.kinex/tools/book_transfer.py\\\", line 54, in dual\\n sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']})\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 130, in device\\n return _device_result(\\\"device\\\", values, _rpc({\\\"call\\\": \\\"device\\\", **values})[\\\"result\\\"])\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 91, in _rpc\\n raise RPCError(response.get(\\\"error\\\", \\\"harness call failed\\\"),\\nkinex.RPCError: driver for \\\"left_arm\\\" failed: IK search exhausted (attempt budget); seeds_attempted=5, iterations=1000, elapsed_ms=365.099, position_error_m=0.010348754812289676, rotation_error_rad=0.09158736704828233\\n\",\n \"error\": \"script exited with code 1\\nTraceback (most recent call last):\\n File \\\"\\\", line 198, in _run_module_as_main\\n File \\\"\\\", line 88, in _run_code\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/_exec.py\\\", line 27, in \\n exec(compile(_request[\\\"source\\\"], \\\"\\\", \\\"exec\\\"), module.__dict__)\\n File \\\"\\\", line 6, in \\n File \\\"/workspace/.kinex/tools/book_transfer.py\\\", line 54, in dual\\n sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']})\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 130, in device\\n return _device_result(\\\"device\\\", values, _rpc({\\\"call\\\": \\\"device\\\", **values})[\\\"result\\\"])\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 91, in _rpc\\n raise RPCError(response.get(\\\"error\\\", \\\"harness call failed\\\"),\\nkinex.RPCError: driver for \\\"left_arm\\\" failed: IK search exhausted (attempt budget); seeds_attempted=5, iterations=1000, elapsed_ms=365.099, position_error_m=0.010348754812289676, rotation_error_rad=0.09158736704828233\"\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nposes={}\nfor side in ['right','left']:\n p=palm(side)['pose'];p[0]-=.06;p[2]+=.08;poses[side]=p\ndual(poses,duration=3)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_726cc2374ef840f288f51491612c969e|fc_01274be167383a88016adc51c2381c81a3b9623be089a7ec51", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"right {'pose': [0.37388935197247214, -0.12607492937965634, -0.1504729646174362, 0.4778007450538077, 0.7917330662800605, 0.10934053188721, 0.3645680291405458], 'frame': 'palm', 'reference_frame': None}\\nleft {'pose': [0.34800288620994774, 0.09543684373612568, -0.1401776821555198, -0.6203281261840113, 0.7106466394950195, -0.20795043568900493, 0.25871023546860755], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 1197.32,\n \"depth_file\": \"/tmp/roboenv-images-j23z_wrk/757210c173e997e0.pgm\",\n \"file\": \"/tmp/roboenv-images-j23z_wrk/757210c173e997e0.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/46cbcdf90f88e227c93a90914897b69941d93ddf7f73b38078ebbbc6e20ef3c6.png", + "sha256": "46cbcdf90f88e227c93a90914897b69941d93ddf7f73b38078ebbbc6e20ef3c6", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(365,328),(339,377),(416,351)])[1]);print(device('base'))" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_72e8ba806a5345f88e4373365c2e3dfe|fc_01274be167383a88016adc51d7fe1c81a3b2a54b0a2704fd56", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.3828310228250807, -0.017368228306534533, -0.20913044143032355], [0.32269139999703, 0.01549979960802804, -0.21472260953120437], [0.3566820476926262, -0.08006716464293145, -0.2166844814351251]]\\n{'height_m': 0.9810855984687805, 'velocities': [-0.00014959122151716998, -0.0012795669463440656, -0.0011042374291766691, -0.002708736341446638, -0.002090833615511656, 0.000659471086692065], 'faults': [], 'timestamp': 1203.18}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "text", + "text": "The book is lifted between both hands. I\u2019m withdrawing it from the shelf before returning to the desk." + }, + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nposes={}\nfor side in ['right','left']:\n p=palm(side)['pose'];p[0]-=.03;p[2]+=.05;poses[side]=p\ndual(poses,duration=3)\nprint(move(vx=-.3,t=1.5));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_9b2bd1c1b72b449092059b5287032413|fc_01274be167383a88016adc51f1085c81a38cfdbfe1aa7b30ca", + "isError": true, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 1,\n \"output\": \"Traceback (most recent call last):\\n File \\\"\\\", line 198, in _run_module_as_main\\n File \\\"\\\", line 88, in _run_code\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/_exec.py\\\", line 27, in \\n exec(compile(_request[\\\"source\\\"], \\\"\\\", \\\"exec\\\"), module.__dict__)\\n File \\\"\\\", line 6, in \\n File \\\"/workspace/.kinex/tools/book_transfer.py\\\", line 54, in dual\\n sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']})\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 130, in device\\n return _device_result(\\\"device\\\", values, _rpc({\\\"call\\\": \\\"device\\\", **values})[\\\"result\\\"])\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 91, in _rpc\\n raise RPCError(response.get(\\\"error\\\", \\\"harness call failed\\\"),\\nkinex.RPCError: driver for \\\"right_arm\\\" failed: IK search exhausted (attempt budget); seeds_attempted=5, iterations=1000, elapsed_ms=350.314, position_error_m=0.012674826931118039, rotation_error_rad=0.1512813340933194\\n\",\n \"error\": \"script exited with code 1\\nTraceback (most recent call last):\\n File \\\"\\\", line 198, in _run_module_as_main\\n File \\\"\\\", line 88, in _run_code\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/_exec.py\\\", line 27, in \\n exec(compile(_request[\\\"source\\\"], \\\"\\\", \\\"exec\\\"), module.__dict__)\\n File \\\"\\\", line 6, in \\n File \\\"/workspace/.kinex/tools/book_transfer.py\\\", line 54, in dual\\n sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']})\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 130, in device\\n return _device_result(\\\"device\\\", values, _rpc({\\\"call\\\": \\\"device\\\", **values})[\\\"result\\\"])\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 91, in _rpc\\n raise RPCError(response.get(\\\"error\\\", \\\"harness call failed\\\"),\\nkinex.RPCError: driver for \\\"right_arm\\\" failed: IK search exhausted (attempt budget); seeds_attempted=5, iterations=1000, elapsed_ms=350.314, position_error_m=0.012674826931118039, rotation_error_rad=0.1512813340933194\"\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=-.25,t=1.2));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_35dc358b683d4a6790c8627a4f34663b|fc_01274be167383a88016adc5202326881a3becbd8ac3af895ba", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9806084036827087, 'velocities': [-0.02125522997347372, 0.0039399580896431145, -0.0006821093836535103, -0.00017813127487897873, -0.01224131416529417, -0.019226210191845894], 'faults': [], 'timestamp': 1221.56}\\n\",\n \"result\": {\n \"timestamp\": 1221.58,\n \"depth_file\": \"/tmp/roboenv-images-sr4y6con/4ada4507d7ea6e6b.pgm\",\n \"file\": \"/tmp/roboenv-images-sr4y6con/4ada4507d7ea6e6b.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/6307bccffdd2132244cf80bbadc4c10d7349c5fb73a0736f41c8a8dc4ae2a9ed.png", + "sha256": "6307bccffdd2132244cf80bbadc4c10d7349c5fb73a0736f41c8a8dc4ae2a9ed", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=-.25,t=1.2));device('head','write',{'actions':[[.9,-.25]],'duration_s':.8});device('world','wait',{'duration_s':1.2});s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_18a126b85410438e93a4db3cca2855d9|fc_01274be167383a88016adc522092fc81a3bf5e397639ae512b", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9807690978050232, 'velocities': [-0.012086181017603793, 0.006900435113144089, -0.00028976999028291263, -0.003394009545445442, -0.006651078350841999, 0.0027876200620085], 'faults': [], 'timestamp': 1234.3600000000001}\\n\",\n \"result\": {\n \"timestamp\": 1235.6200000000001,\n \"depth_file\": \"/tmp/roboenv-images-qnk4yv7b/ec1079c0e0b09467.pgm\",\n \"file\": \"/tmp/roboenv-images-qnk4yv7b/ec1079c0e0b09467.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/5675ffc13b1fb58305dde43985ffe9ae64cf43fc16a11938d0072f207c7f3fdc.png", + "sha256": "5675ffc13b1fb58305dde43985ffe9ae64cf43fc16a11938d0072f207c7f3fdc", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device,finish\ndevice('head','write',{'actions':[[-1.0,-.25]],'duration_s':1});device('world','wait',{'duration_s':1.5});r=device('head_camera','read',{'output':'file'});finish(r,file=r['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_6d6a38f093ff4131b20804598349c9e0|fc_01274be167383a88016adc523987ec81a3a3c24356999f8f1a", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"\",\n \"result\": {\n \"timestamp\": 1241.96,\n \"depth_file\": \"/tmp/roboenv-images-zpo0fpro/dc755ccb43f1851e.pgm\",\n \"file\": \"/tmp/roboenv-images-zpo0fpro/dc755ccb43f1851e.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/a6b5b8f38aa307d2b5122d518e1af86bcdfb927f7ab497d9400902b2a606a327.png", + "sha256": "a6b5b8f38aa307d2b5122d518e1af86bcdfb927f7ab497d9400902b2a606a327", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\ndevice('head','write',{'actions':[[0,.1]],'duration_s':.8})\nprint(move(wz=-.35,t=5));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_c39dc50b45eb449ea51007b73a124a3f|fc_01274be167383a88016adc5255271c81a381661d3090e2819c", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9811420440673828, 'velocities': [-0.004344856698029547, -0.0035645218422245906, -0.0014408382857735082, -0.00039794243639335036, -0.004750659689307213, 0.014971371740102768], 'faults': [], 'timestamp': 1259.18}\\n\",\n \"result\": {\n \"timestamp\": 1259.2,\n \"depth_file\": \"/tmp/roboenv-images-v6hopzdg/7db52033729637b2.pgm\",\n \"file\": \"/tmp/roboenv-images-v6hopzdg/7db52033729637b2.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/fbc1f1ef3c294271734369ca282658925592ada48120d862a0e68ed07f2d223f.png", + "sha256": "fbc1f1ef3c294271734369ca282658925592ada48120d862a0e68ed07f2d223f", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=-.4,t=5));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_c72edd062bc14f449d62d771b56ab826|fc_01274be167383a88016adc52730ed481a3ba4602597c8d638d", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9811945557594299, 'velocities': [-0.0008362387877425669, -0.0001564349401188125, -0.0001846893054014831, 0.0011556930840015411, -0.0013141733361408114, 0.008601592853665352], 'faults': [], 'timestamp': 1271.8600000000001}\\n\",\n \"result\": {\n \"timestamp\": 1271.88,\n \"depth_file\": \"/tmp/roboenv-images-1six4j23/13a3a345ef2e1d47.pgm\",\n \"file\": \"/tmp/roboenv-images-1six4j23/13a3a345ef2e1d47.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/a4551ac0a27515dbac87c0b1212b73adbabcd52605bb8dcae164db857f9ea3fa.png", + "sha256": "a4551ac0a27515dbac87c0b1212b73adbabcd52605bb8dcae164db857f9ea3fa", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=-.4,t=4));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_d262503fff164fe0a25092c0fa4acd9e|fc_01274be167383a88016adc5290619081a38e7248cb03e59055", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9811684489250183, 'velocities': [0.0014795451452078929, 0.0014652392788019651, -0.001066104901114711, 0.00020687175856437534, -0.0005617543356493115, 0.0031211066525429487], 'faults': [], 'timestamp': 1282.72}\\n\",\n \"result\": {\n \"timestamp\": 1282.74,\n \"depth_file\": \"/tmp/roboenv-images-spdrrmt_/33e6c4d397ffabad.pgm\",\n \"file\": \"/tmp/roboenv-images-spdrrmt_/33e6c4d397ffabad.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/5adf2adf9e42165f49fd7dd5456d8e3f4a0a2e7d8985c87b28c806ed94fe7fa0.png", + "sha256": "5adf2adf9e42165f49fd7dd5456d8e3f4a0a2e7d8985c87b28c806ed94fe7fa0", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=-.4,t=2.5));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_9c4c0417e0f94bd9a808bad103b3c24b|fc_01274be167383a88016adc52ab8af481a3a4210bed2aa3410f", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9812709093093872, 'velocities': [-0.004385338761635711, -0.0026122882118522774, -0.001331469374723255, -0.0025308127515017986, -0.005781850777566433, 0.011651857756078243], 'faults': [], 'timestamp': 1294.58}\\n\",\n \"result\": {\n \"timestamp\": 1294.6000000000001,\n \"depth_file\": \"/tmp/roboenv-images-go1nv9ho/76a13ce25cbc827e.pgm\",\n \"file\": \"/tmp/roboenv-images-go1nv9ho/76a13ce25cbc827e.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/68dbaf1cb5d845acbf1d6778c8808dc9bd997484c21807032ba335a515fa1e91.png", + "sha256": "68dbaf1cb5d845acbf1d6778c8808dc9bd997484c21807032ba335a515fa1e91", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(332,141),(264,116),(344,101),(411,155),(316,178),(361,431)])[1]);print(palm('right'));print(palm('left'))" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_18d97cb3fdee4b5ab03cfad8dd57e8e6|fc_01274be167383a88016adc52c900d081a386800dc52c828fc5", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[1.196918968715602, 0.003397311772831889, -0.22442897026183628], [1.3322705693876815, 0.18779316043870523, -0.22428788883601158], [1.4296534174193, -0.03618739626641565, -0.2262516169638955], [1.1317120141126118, -0.18739337041516846, -0.2255035320477029], [1.0302201877008748, 0.042981485926196925, -0.22364144605474667], [0.4274912163482212, -0.017362572817728628, -0.19671265360383638]]\\n{'pose': [0.3744134548000915, -0.12561459270117034, -0.14796791135506052, 0.47971305290974425, 0.7870165461977819, 0.11703084627761984, 0.3698433775241513], 'frame': 'palm', 'reference_frame': None}\\n{'pose': [0.34867366518910187, 0.09229231528840835, -0.13838798972120728, -0.6186728107138536, 0.7104880292194399, -0.21266342759493628, 0.2592778050332696], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfor dx in [0,.03,.06]:\n print('dx',dx)\n for side in ['right','left']:\n p=palm(side)['pose'];p[0]+=dx;p[2]+=.08\n try:print(side,device(side+'_arm','ik',{'pose':p}))\n except Exception as e:print(side,str(e)[-100:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_e9f7aebf6b4b4270a673b95202517844|fc_01274be167383a88016adc52e2c55481a3babefd4baa7105f2", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"dx 0\\nright 00, elapsed_ms=348.107, position_error_m=0.02407341190275067, rotation_error_rad=0.16437760741539914\\nleft 00, elapsed_ms=382.556, position_error_m=0.018281912422133024, rotation_error_rad=0.1563265863179171\\ndx 0.03\\nright {'joints': [-0.7529430850326503, 0.847613475844375, 1.1979171295765418, 1.6312570058626796, -1.2453639598260062, -0.678933079, -0.925024504], 'frame': 'palm', 'reference_frame': None}\\nleft {'joints': [-1.32802678115492, -0.8804462877821505, 1.9130185567084501, -1.7627269795890763, -2.059488517, -0.02407647125990862, 0.925024504], 'frame': 'palm', 'reference_frame': None}\\ndx 0.06\\nright {'joints': [-0.8736933584927871, 0.9394271247543132, 1.2286598419881978, 1.4710440876375634, -1.3363167961860416, -0.678933079, -0.9133280279326002], 'frame': 'palm', 'reference_frame': None}\\nleft {'joints': [-1.1247197840444842, -0.8910698777718262, 1.5869663773176514, -1.6111885469375822, -1.9284291130315772, 0.23718607036490566, 0.925024504], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nposes={}\nfor side in ['right','left']:\n p=palm(side)['pose'];p[0]+=.04;p[2]+=.08;poses[side]=p\ndual(poses,duration=3)\ns,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_5862ab145f73496d8cd10921a71e2212|fc_01274be167383a88016adc52f4b5d881a3bf99527933becc6c", + "isError": true, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 1,\n \"output\": \"Traceback (most recent call last):\\n File \\\"\\\", line 198, in _run_module_as_main\\n File \\\"\\\", line 88, in _run_code\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/_exec.py\\\", line 27, in \\n exec(compile(_request[\\\"source\\\"], \\\"\\\", \\\"exec\\\"), module.__dict__)\\n File \\\"\\\", line 6, in \\n File \\\"/workspace/.kinex/tools/book_transfer.py\\\", line 54, in dual\\n sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']})\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 130, in device\\n return _device_result(\\\"device\\\", values, _rpc({\\\"call\\\": \\\"device\\\", **values})[\\\"result\\\"])\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 91, in _rpc\\n raise RPCError(response.get(\\\"error\\\", \\\"harness call failed\\\"),\\nkinex.RPCError: driver for \\\"right_arm\\\" failed: IK search exhausted (attempt budget); seeds_attempted=5, iterations=1000, elapsed_ms=350.017, position_error_m=0.011354909483491944, rotation_error_rad=0.09845212370048094\\n\",\n \"error\": \"script exited with code 1\\nTraceback (most recent call last):\\n File \\\"\\\", line 198, in _run_module_as_main\\n File \\\"\\\", line 88, in _run_code\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/_exec.py\\\", line 27, in \\n exec(compile(_request[\\\"source\\\"], \\\"\\\", \\\"exec\\\"), module.__dict__)\\n File \\\"\\\", line 6, in \\n File \\\"/workspace/.kinex/tools/book_transfer.py\\\", line 54, in dual\\n sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']})\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 130, in device\\n return _device_result(\\\"device\\\", values, _rpc({\\\"call\\\": \\\"device\\\", **values})[\\\"result\\\"])\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/opt/kinex/packages/core/assets/python/kinex/__init__.py\\\", line 91, in _rpc\\n raise RPCError(response.get(\\\"error\\\", \\\"harness call failed\\\"),\\nkinex.RPCError: driver for \\\"right_arm\\\" failed: IK search exhausted (attempt budget); seeds_attempted=5, iterations=1000, elapsed_ms=350.017, position_error_m=0.011354909483491944, rotation_error_rad=0.09845212370048094\"\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import devices,finish\nseeds={'right':[-.873693,.939427,1.22866,1.47104,-1.33632,-.678933,-.913328],'left':[-1.12472,-.89107,1.58697,-1.61119,-1.92843,.237186,.925024]}\ncalls=[]\nfor side in ['right','left']:\n p=palm(side)['pose'];p[0]+=.06;p[2]+=.08\n sol=device(side+'_arm','ik',{'pose':p,'seed':seeds[side]});calls.append({'deviceID':side+'_arm','action':'write','args':{'actions':[sol['joints']],'duration_s':3}})\nprint(devices(calls));device('world','wait',{'duration_s':4});print(palm('right'));print(palm('left'));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_356f87b161eb41879dca751ac7feb825|fc_01274be167383a88016adc5306c6bc81a39adbbb35e340c2e6", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'results': [{'deviceID': 'right_arm', 'action': 'write', 'ok': True, 'data': {'execution_id': 'driver-2778907470df57fa', 'state': {'positions': [-0.5564309358596802, 0.9764796495437622, 1.2169362306594849, 1.4802690744400024, -1.0779423713684082, -0.6100988984107971, -0.9228478670120239], 'velocities': [-0.006523601710796356, -0.0013142693787813187, 0.010038040578365326, 0.0013178475201129913, -0.0034577809274196625, -0.01228421926498413, -0.0006456375122070312], 'efforts': [], 'faults': [], 'timestamp': 1327.58}}}, {'deviceID': 'left_arm', 'action': 'write', 'ok': True, 'data': {'execution_id': 'driver-f53d5cb25ed60b8b', 'state': {'positions': [-0.2719838321208954, -1.1128371953964233, 0.845283031463623, -1.6290147304534912, -1.1008658409118652, 0.6087916493415833, 0.9250113368034363], 'velocities': [0.000604972243309021, 0.007623983547091484, 0.002740629017353058, -0.0018647536635398865, 0.006889268755912781, 0.004160035401582718, -0.023566365242004395], 'efforts': [], 'faults': [], 'timestamp': 1327.58}}}]}\\n{'pose': [0.43953013085436476, -0.12841687741062785, -0.06497127068501744, 0.4475732528000228, 0.7672018604063735, 0.14928966055691179, 0.434502112788659], 'frame': 'palm', 'reference_frame': None}\\n{'pose': [0.4064374337745109, 0.0877451780082693, -0.057395097405665736, -0.5653002363574265, 0.7551701242945134, -0.23338920242807287, 0.23597289322554624], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": {\n \"timestamp\": 1331.68,\n \"depth_file\": \"/tmp/roboenv-images-cd25c7df/57d36583a186e32e.pgm\",\n \"file\": \"/tmp/roboenv-images-cd25c7df/57d36583a186e32e.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/a0a723e00b906af1664258b3bd86cfd08021d07cdc199d93019f251b8bbd0dd2.png", + "sha256": "a0a723e00b906af1664258b3bd86cfd08021d07cdc199d93019f251b8bbd0dd2", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.25,t=1.5));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_03c98553c7fc41e99600ebc14e18da55|fc_01274be167383a88016adc532836d881a3b8ea7e45ee3723e2", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9813063740730286, 'velocities': [-0.0013546831679134216, 0.010173187440610975, -0.0007812944115395177, 0.0014932008925825357, -0.0006854666280560195, -0.008581371046602726], 'faults': [], 'timestamp': 1345.8}\\n\",\n \"result\": {\n \"timestamp\": 1345.82,\n \"depth_file\": \"/tmp/roboenv-images-6k1r0taq/133991c6314a86bb.pgm\",\n \"file\": \"/tmp/roboenv-images-6k1r0taq/133991c6314a86bb.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/1119b27a5afe441f99a1958147954eb774a72e0580e334ac4ada12a682a1fb7a.png", + "sha256": "1119b27a5afe441f99a1958147954eb774a72e0580e334ac4ada12a682a1fb7a", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(391,175),(310,135),(387,122),(472,194),(370,222),(361,350)])[1])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_6f28cd02f74f4a49be7a161488315cee|fc_01274be167383a88016adc53421d6481a3a14b498e08a12709", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[1.045870013258679, -0.1290019073707098, -0.22548590506122357], [1.226045412666305, 0.05952862850174377, -0.22307140897755295], [1.3032472871010272, -0.1477793708730935, -0.22660141440204395], [0.974690975612893, -0.2977755621757711, -0.22726650360038536], [0.8545313787892068, -0.0640407782301341, -0.20732199154168274], [0.4826109344712889, -0.015414130473525176, -0.10175990218911424]]\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=-.4,t=.8));print(move(vx=.25,t=1.5));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_6102d992a1584875924d3434193d251f|fc_01274be167383a88016adc5354890481a3a8f58d949954dd63", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9815928339958191, 'velocities': [-0.005607927959255703, 0.00019632068151317534, -0.0016363842865371406, -0.002952100010588765, -0.009768453426659107, 0.012842382304370403], 'faults': [], 'timestamp': 1362.96}\\n{'height_m': 0.9788180589675903, 'velocities': [0.007984135355783064, 0.006700100655879467, 0.00022049696508980555, -0.0031992383301258087, 0.004088013898581266, 0.006092822644859552], 'faults': [], 'timestamp': 1366.54}\\n\",\n \"result\": {\n \"timestamp\": 1366.56,\n \"depth_file\": \"/tmp/roboenv-images-uvrkec9w/652f1e059a23eba3.pgm\",\n \"file\": \"/tmp/roboenv-images-uvrkec9w/652f1e059a23eba3.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/7104b40ff3f50ecdaa0504deae60d326132b891c7ff4859abf5db5e81eeaa028.png", + "sha256": "7104b40ff3f50ecdaa0504deae60d326132b891c7ff4859abf5db5e81eeaa028", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.35,t=1.2));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_e9db040053ad4752859988de1c43f882|fc_01274be167383a88016adc5379ee6881a38aaee38e7ad3265e", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.978748619556427, 'velocities': [-0.015335571224725088, -0.0015123133094259262, -0.0014558973544638021, 0.006722380872815847, -0.01595902629196644, -0.01038354728370905], 'faults': [], 'timestamp': 1377.66}\\n\",\n \"result\": {\n \"timestamp\": 1377.68,\n \"depth_file\": \"/tmp/roboenv-images-di2jbtcf/03c3d8afc00aa181.pgm\",\n \"file\": \"/tmp/roboenv-images-di2jbtcf/03c3d8afc00aa181.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/20d6c8f723ac9d198a54c316dcbf9b4b5f487c3e16af3513aff968965822091f.png", + "sha256": "20d6c8f723ac9d198a54c316dcbf9b4b5f487c3e16af3513aff968965822091f", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "from kinex import device,finish\ndevice('head','write',{'actions':[[0,.3]],'duration_s':.5});device('world','wait',{'duration_s':1});r=device('head_camera','read',{'output':'file'});finish(r,file=r['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_31f62361852b48dca80f4cdf211d8f60|fc_01274be167383a88016adc539063f881a39389a71b67106913", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"\",\n \"result\": {\n \"timestamp\": 1383.54,\n \"depth_file\": \"/tmp/roboenv-images-z12gp4n3/7524de51eca211b6.pgm\",\n \"file\": \"/tmp/roboenv-images-z12gp4n3/7524de51eca211b6.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/c6bbb873019c3fc4d0386a908648d68429ff7ae0448eff9c611b1b5977c1568b.png", + "sha256": "c6bbb873019c3fc4d0386a908648d68429ff7ae0448eff9c611b1b5977c1568b", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(434,158),(328,108),(434,88),(554,203),(389,232),(365,270),(345,298)])[1])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_e3776aa896234866a36d29ed688f82e3|fc_01274be167383a88016adc539eb74481a3ada4b4e084770416", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.7809842982565066, -0.1712026731635898, -0.23401669194982644], [0.9248780432429333, 0.01853767231582032, -0.23549521277693042], [0.9947148920206561, -0.20328029521811505, -0.2385738800112308], [0.6730807842949114, -0.35502855944661643, -0.23322647120895013], [0.6091737347639591, -0.07430570990641888, -0.22945560587656744], [0.4529213117696731, -0.017124651274037922, -0.0975676653747033], [0.45132274029311603, 0.0031716633498051136, -0.15975822260442796]]\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vy=-.3,t=.7));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_d5e769415d2a46cbac1fb9f079d719ce|fc_01274be167383a88016adc53b280d481a3b318e13da33da07f", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9801605939865112, 'velocities': [-0.002645272507974653, 0.008902836137081826, -7.104247081965681e-05, -0.0007582326652482152, 0.0030704375822097063, 0.023318005725741386], 'faults': [], 'timestamp': 1398.46}\\n\",\n \"result\": {\n \"timestamp\": 1398.48,\n \"depth_file\": \"/tmp/roboenv-images-dt86ce61/4856a7b9251325bb.pgm\",\n \"file\": \"/tmp/roboenv-images-dt86ce61/4856a7b9251325bb.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/2035cff9114d6b20edfe96207671df65f814faa2b9839c6669e61814065de084.png", + "sha256": "2035cff9114d6b20edfe96207671df65f814faa2b9839c6669e61814065de084", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vy=-.5,t=.7));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_7468343659c7449fafece97f095b3e45|fc_01274be167383a88016adc53c9f1ec81a38797ab78838aedcf", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9797317385673523, 'velocities': [-0.005488942150091857, 0.001109592868464488, -0.00033572349482325654, -0.000517097651027143, 0.0007582359830848873, -0.012458537705242634], 'faults': [], 'timestamp': 1407.92}\\n\",\n \"result\": {\n \"timestamp\": 1407.94,\n \"depth_file\": \"/tmp/roboenv-images-j0abnc94/9d1c9d14a97eec39.pgm\",\n \"file\": \"/tmp/roboenv-images-j0abnc94/9d1c9d14a97eec39.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/1433dc9b165f11713117bdb1e95604c508ad653a8588bfe18381d260e1e801bf.png", + "sha256": "1433dc9b165f11713117bdb1e95604c508ad653a8588bfe18381d260e1e801bf", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=-.5,t=.8));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_a540c5d4526a442d8304008bd87c482c|fc_01274be167383a88016adc53e10a2c81a39e4437d930a23cbd", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9803274869918823, 'velocities': [0.0024236599969489907, -0.0016390131749483788, -0.00026593780080085683, -2.8560010832734406e-05, 0.00048504327423870564, 0.0007101409137248993], 'faults': [], 'timestamp': 1417.22}\\n\",\n \"result\": {\n \"timestamp\": 1417.24,\n \"depth_file\": \"/tmp/roboenv-images-2cw9ddb8/205920db1d0fe4c1.pgm\",\n \"file\": \"/tmp/roboenv-images-2cw9ddb8/205920db1d0fe4c1.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/e89765cbfde3b5e60d5516a1356bd200f38ab9beb3d36ee51bd8e774861aca76.png", + "sha256": "e89765cbfde3b5e60d5516a1356bd200f38ab9beb3d36ee51bd8e774861aca76", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(344,156),(255,111),(346,82),(457,192),(323,228),(368,263)])[1])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_7f8af58853ad467bb13002e40d64ed37|fc_01274be167383a88016adc53f6614c81a39ea2dd8e671bdb71", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.7717929964211305, -0.00834140771809147, -0.22092181900823926], [0.896217604679181, 0.15943778048277274, -0.22076211428602643], [0.9914808215047411, -0.019357819116765936, -0.22234951809341863], [0.6860904219923223, -0.19327588422528236, -0.22100356862841897], [0.6097334534455097, 0.029525971084929763, -0.22033050437377655], [0.4487187673967933, -0.018785069202271236, -0.07705202637724745]]\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfor dx in [.07,.10,.13]:\n print('dx',dx)\n for side in ['right','left']:\n p=palm(side)['pose'];p[0]+=dx\n try:print(side,device(side+'_arm','ik',{'pose':p}))\n except Exception as e:print(side,str(e)[-100:])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_e661c3e3afa84a78aad664e67009f93d|fc_01274be167383a88016adc54088d1881a3b7ba2b70e1fef5f9", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"dx 0.07\\nright {'joints': [-1.0735901337021472, 1.1059672866172323, 1.409523856606763, 1.0105705634370548, -1.1780898851740496, -0.5502401198671765, -0.6137707410740304], 'frame': 'palm', 'reference_frame': None}\\nleft {'joints': [-0.9481575495119838, -1.067435182122215, 1.1348594970025316, -1.207288409980884, -1.4675813305126708, 0.678933079, 0.6418730269283659], 'frame': 'palm', 'reference_frame': None}\\ndx 0.1\\nright {'joints': [-1.1294326100780276, 1.2294069905147946, 1.4667367587638551, 0.7420897036764161, -1.1485440942269247, -0.48439140470528436, -0.4580230269035529], 'frame': 'palm', 'reference_frame': None}\\nleft {'joints': [-1.055571036024283, -1.1683653532092537, 1.1872793883742345, -0.9338965094892188, -1.3996546648669812, 0.6682360057061258, 0.45472290274905885], 'frame': 'palm', 'reference_frame': None}\\ndx 0.13\\nright , elapsed_ms=346.012, position_error_m=0.010895794160177483, rotation_error_rad=0.008562306425467127\\nleft {'joints': [-1.1173364320935082, -1.30070763651319, 1.1575878420996701, -0.6286837489815162, -1.2797041170513597, 0.6627955430683042, 0.25913345492089734], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vx=.25,t=1));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_51e791090bb8484bad73c0adfe4fd7f3|fc_01274be167383a88016adc541c966c81a3a787de6c8cedec14", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9806104302406311, 'velocities': [-0.00018372023218144205, -0.010325607324193718, -0.0019697348783516396, -0.006606654729694128, 0.00020058266818523407, -0.004157152026891708], 'faults': [], 'timestamp': 1437.68}\\n\",\n \"result\": {\n \"timestamp\": 1437.7,\n \"depth_file\": \"/tmp/roboenv-images-mne610w1/198f709b012084ff.pgm\",\n \"file\": \"/tmp/roboenv-images-mne610w1/198f709b012084ff.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/facd7f79b2f5e1b378130bfd401e41c5c353788569f33cd9f2e9d340c1062b29.png", + "sha256": "facd7f79b2f5e1b378130bfd401e41c5c353788569f33cd9f2e9d340c1062b29", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nprint(observe([(350,179),(263,137),(355,100),(453,219),(362,274),(352,323)])[1]);print(palm('right'));print(palm('left'))" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_72fdb9bc7a0e4ffc84e026d706987f48|fc_01274be167383a88016adc543500c481a3abec601c517a4b65", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"[[0.7164156749722994, -0.016519695296422637, -0.22230760974854774], [0.8215876651280989, 0.13906592187819253, -0.2214839487450177], [0.9339246319572155, -0.034861481529758154, -0.2242343078266898], [0.49912212211266216, -0.11790105705393317, -0.062241194444236425], [0.43443128502004696, -0.011204897491773155, -0.07774569959912764], [0.42213920245616293, -0.005049403630296642, -0.17146777120231121]]\\n{'pose': [0.43908691930476623, -0.12139691706554072, -0.06754814434688115, 0.45222510994390447, 0.7707396178674274, 0.15012816354754396, 0.42298277257547684], 'frame': 'palm', 'reference_frame': None}\\n{'pose': [0.4060966517202512, 0.08491275438364929, -0.059794085252181564, -0.5615110352179459, 0.7586560566669122, -0.23073244940255813, 0.23645059061837412], 'frame': 'palm', 'reference_frame': None}\\n\",\n \"result\": null\n}" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "text", + "text": "I\u2019m moving around to the desk\u2019s open side so I can set the book down at the tray\u2019s center." + }, + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(vy=.5,t=1.5));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_b540f8b0c72c4bd58b90c3e1b5d60c36|fc_01274be167383a88016adc54764f8081a3b9bb6030fdff3e30", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9811077117919922, 'velocities': [-0.0083927085635584, 0.005089656879819329, -0.0004615542722730713, -0.0037180124782025814, 0.0029315596912056208, -0.01524276938289404], 'faults': [], 'timestamp': 1467.04}\\n\",\n \"result\": {\n \"timestamp\": 1467.06,\n \"depth_file\": \"/tmp/roboenv-images-6_32s0id/142c7bc7991b3993.pgm\",\n \"file\": \"/tmp/roboenv-images-6_32s0id/142c7bc7991b3993.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/6f0d7e85eb43441f6baece0b2921f859cf049f5ffd9cfc0edd8f1f1d1d3ab484.png", + "sha256": "6f0d7e85eb43441f6baece0b2921f859cf049f5ffd9cfc0edd8f1f1d1d3ab484", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "exec", + "arguments": { + "python": "import sys;sys.path.insert(0,'.kinex/tools');from book_transfer import *\nfrom kinex import finish\nprint(move(wz=-.5,t=1.6));s,p=observe();finish(s,file=s['file'])" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "exec", + "toolCallId": "call_47beb440ed934b8c9844991f18fd1745|fc_01274be167383a88016adc5490dc5081a3a0cd4210d7b6e11e", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"exit_code\": 0,\n \"output\": \"{'height_m': 0.9819200038909912, 'velocities': [0.006482097897892959, 0.004513158579771469, 5.8978895014043405e-05, -0.0002569699427112937, 0.003337405389174819, 0.006685171741992235], 'faults': [], 'timestamp': 1476.6000000000001}\\n\",\n \"result\": {\n \"timestamp\": 1476.6200000000001,\n \"depth_file\": \"/tmp/roboenv-images-168arbpf/5123be41cb094e2b.pgm\",\n \"file\": \"/tmp/roboenv-images-168arbpf/5123be41cb094e2b.png\"\n }\n}" + }, + { + "type": "image", + "path": "images/3fe912600bb9aa4a25fc109c6fd80272b023982ab6f98c5791f95330a99c49a9.png", + "sha256": "3fe912600bb9aa4a25fc109c6fd80272b023982ab6f98c5791f95330a99c49a9", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "device_stop", + "arguments": { + "reason": "The book slipped during the turn; stopping motion to assess recovery." + } + } + ] + }, + { + "role": "toolResult", + "toolName": "device_stop", + "toolCallId": "call_610056a86ea044968efc95a9d9ca2bd1|fc_01274be167383a88016adc54ad6d7881a3b6c0c30f9d12a2f6", + "isError": false, + "content": [ + { + "type": "text", + "text": "base: stopped (stand; affects base)\nhead: stopped (hold; affects head)\nleft_arm: stopped (hold; affects left_arm)\nleft_hand: stopped (hold; affects left_hand)\nright_arm: stopped (hold; affects right_arm)\nright_hand: stopped (hold; affects right_hand)" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "device", + "arguments": { + "deviceID": "head_camera", + "args": { + "output": "file" + } + } + } + ] + }, + { + "role": "toolResult", + "toolName": "device", + "toolCallId": "call_44805453bfa34d93bf511399680f74a2|fc_01274be167383a88016adc54c6d71881a3a1811a68e8ec9590", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\n \"deviceID\": \"head_camera\",\n \"timestamp\": 1492.3600000000001,\n \"depth_file\": \"/tmp/roboenv-images-9amzy4ha/5e16f3dba0410c8f.pgm\",\n \"file\": \"/tmp/roboenv-images-9amzy4ha/5e16f3dba0410c8f.png\"\n}" + }, + { + "type": "image", + "path": "images/ed18beb2973e485ced798056353ca0f58b1e14d69599089922bcbfee60987c47.png", + "sha256": "ed18beb2973e485ced798056353ca0f58b1e14d69599089922bcbfee60987c47", + "mimeType": "image/png" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "text", + "text": "The book slipped onto the floor. The available controller cannot reach that low, so I can\u2019t recover it with these controls. I\u2019ll finalize the attempt and save the useful observations." + }, + { + "type": "toolCall", + "name": "bash", + "arguments": { + "command": "roboenv status --endpoint \"$ROBOENV_ENDPOINT\" --json", + "timeout": 30 + } + } + ] + }, + { + "role": "toolResult", + "toolName": "bash", + "toolCallId": "call_6fcea0d4a79e44caa0c099e66c36e282|fc_01274be167383a88016adc54d82d9c81a3bc295a9ba0ade832", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\"device_service\": {\"contract\": \"roboenv/devices/1\", \"ready\": true}, \"endpoint\": \"http://127.0.0.1:8123\", \"generation\": 0, \"protocol\": \"roboenv/1\", \"session\": \"b5a982b6a4c0d052\", \"supervisor\": \"ok\", \"worker\": {\"alive\": true, \"state\": \"ready\"}, \"simulation\": {\"budget\": {\"max\": null, \"unit\": \"action_frames\", \"used\": 74955}, \"capabilities\": {\"bounded_episodes\": true, \"terminal_feedback\": true}, \"generation\": 0, \"schema\": \"roboenv/simulation-status/1\", \"session\": \"b5a982b6a4c0d052\", \"simulation_time_s\": null, \"state\": \"ready\", \"terminal\": false}}\n" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "write", + "arguments": { + "path": ".kinex/memos/t2-fetch-book.md", + "content": "# T2 fetch-book: operational lessons\n\nResources: `tools/book_transfer.py` (RGBD pixel measurements in base frame, bounded base moves, arm IK/write/FK, concurrent two-arm motion); `tools/rgbd_tracking.py` (experimental static-scene tracking, NOT a reliable navigation source yet).\n\n## Interface and geometry\n- Inspect current profiles and `roboenv describe` each episode; do not reset. Arm writes become whole-body palm goals, not exact joint tracking. Check measured palm FK, not command acceptance.\n- Palm axes: +X out of palm, +Z fingertips. Open fingertips extend ~8\u201310 cm. Read current hand geometry.\n- Observed base height ~0.98 m. Lower shelf/book top roughly base Z=-0.30 m; tray floor ~-0.22 m. These are episode observations, not persistent calibration.\n- Low palm targets often undertracked by 3\u20137 cm. Some IK-valid targets at Z=-0.30 were rejected as outside trained workspace. Floor pickup is beyond this standing embodiment's available reach; avoid dropping the book.\n- Camera head pitch +0.3/+0.4 sees manipulation, -0.25 sees navigation. Upper shelf hides the book when too close. Wait for head arrival before using image pixels.\n- Base responses are nonlinear and have settling/rebound; negative VX in particular needs ~2 s settling. Sample measured feedback and recapture after each small move. Do not infer displacement from velocity*duration. Arm motion can change body pose, so remeasure object coordinates.\n\n## Partial method that actually lifted the book\nA bimanual side squeeze with OPEN fingers pointing mostly down lifted the book ~9 cm and carried it away from the shelf. This is fragile and was NOT successfully completed.\n- Position near shelf so book's front edge is ~0.40\u20130.45 m forward, centered laterally. Long book edge can run across robot Y.\n- Palm orientation candidates: Rz(yaw) * Ry(-10 to -30 deg) * quaternion([+sqrt(.5),sqrt(.5),0,0] right / [-sqrt(.5),sqrt(.5),0,0] left). Fingers point down/forward, palm normals face inward.\n- An observed side-contact configuration used right palm goal [0.43,-0.115,-0.24], yaw 15 deg, tilt -30 deg; left [0.40,0.08,-0.25], yaw 0, tilt -30. These are NOT universal coordinates; measure current book edges first.\n- Concurrent lifting/backward translation produced book top Z~-0.21 versus shelf top~-0.30, visually verified between hands. Both hand actuators stayed at zero/open.\n\n## Critical failure to avoid\nThe book eventually slipped during a base turn near the desk and landed on the floor; the task failed.\n**Preserve commanded inward squeeze preload during every lift/transport transform. Do not replace commanded lateral goals with measured contact-deflected palm positions.** Doing so widens the commanded grasp and removes its force. Several moves in this attempt were rebased on measured FK; that is a likely contributor to the eventual loss. The book progressively tilted vertical during transport. Stop and stabilize before navigating if this occurs.\n- Establish a supported/thumb-assisted grasp or maintain sufficient bimanual inward compression before long transport. Do not assume a visually suspended book is a durable grasp.\n- Transform both commanded palm poses by the same rigid motion, solve BOTH IKs before either write, submit concurrently, verify book pose afterwards. Preserve contact geometry and preload.\n- Reach high poses by moving hands slightly forward as well as up; pure raising/retraction caused IK failures, while +0.06 X,+0.08 Z succeeded with appropriate seeds.\n- Approach the reading desk from its open LONG side, like the initial camera view. The short end leaves the tray center too far beyond arm reach. Plan the return approach before lifting; avoid late sharp turns while holding a friction-only grasp.\n\n## Tracking caution\nRGBD SIFT matching initially matched stationary-in-robot hands instead of the scene and falsely estimated zero motion. Current helper masks the bottom image and requires >=15 inliers, but large occlusions still fail. Never propagate object coordinates on failed/weak odometry, nor treat a contacted object as static.\n\nFinalize with `roboenv status --endpoint \"$ROBOENV_ENDPOINT\" --json`, then `roboenv stop --endpoint \"$ROBOENV_ENDPOINT\" --json`; only stop returns final judgment.\n" + } + } + ] + }, + { + "role": "toolResult", + "toolName": "write", + "toolCallId": "call_0b01c72d26054c0caeb9f53749f3e952|fc_01274be167383a88016adc54fc605481a3a3d352902ecc6fdf", + "isError": false, + "content": [ + { + "type": "text", + "text": "Successfully wrote to .kinex/memos/t2-fetch-book.md" + } + ] + }, + { + "role": "assistant", + "stopReason": "toolUse", + "content": [ + { + "type": "toolCall", + "name": "bash", + "arguments": { + "command": "roboenv stop --endpoint \"$ROBOENV_ENDPOINT\" --json", + "timeout": 30 + } + } + ] + }, + { + "role": "toolResult", + "toolName": "bash", + "toolCallId": "call_64493b5f1a8b4b29b4b0b479c8389bb4|fc_01274be167383a88016adc552a78b881a3b13c01efd1cb82dd", + "isError": false, + "content": [ + { + "type": "text", + "text": "{\"budget\": {\"max\": null, \"unit\": \"action_frames\", \"used\": 76453}, \"capabilities\": {\"bounded_episodes\": true, \"terminal_feedback\": true}, \"generation\": 0, \"reason\": \"stopped\", \"schema\": \"roboenv/simulation-status/1\", \"service_state\": \"stopped\", \"session\": \"b5a982b6a4c0d052\", \"simulation_time_s\": null, \"state\": \"terminal\", \"success\": false, \"terminal\": true}\n" + } + ] + }, + { + "role": "assistant", + "stopReason": "stop", + "content": [ + { + "type": "text", + "text": "The attempt failed: the book slipped near the desk and landed on the floor. I stopped the simulation and saved reusable tools and notes." + } + ] + } + ] +} diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/usage-coverage.json b/runs/household-v5-astra-high-seed0/18-fetch-book/usage-coverage.json new file mode 100644 index 0000000000000000000000000000000000000000..65820c92ac4a980648bd26339b23658dab35a3e5 --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/usage-coverage.json @@ -0,0 +1,5 @@ +{ + "complete_for_all_started_attempts": true, + "unresolved_attempts": [], + "unknown_usage_is_not_zero": false +} diff --git a/runs/household-v5-astra-high-seed0/18-fetch-book/usage.json b/runs/household-v5-astra-high-seed0/18-fetch-book/usage.json new file mode 100644 index 0000000000000000000000000000000000000000..5370d6b4074ff243211b62d154bd172e4d6c30f4 --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/usage.json @@ -0,0 +1,1359 @@ +{ + "accounting": "reported-responses", + "audit_complete": true, + "audit_source": 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index 0000000000000000000000000000000000000000..f37915c78e3afaa668c70022abed3cd2912d91f8 --- /dev/null +++ b/runs/household-v5-astra-high-seed0/18-fetch-book/workspace-changes.json @@ -0,0 +1,41 @@ +{ + "changes": [ + { + "path": "instruction.md", + "bytes": 3086, + "sha256": "c8d204543d9176e589ca0cf965835d469805cb8c7efe49a04a97b178d8077e8b", + "change": "modified", + "content": "# Task: isaaclab/t2-fetch-book\n\nGo to the bookcase, pick up the book lying on the lower open shelf, and bring it back to the center of the tray on the reading desk. Let go and leave it resting there.\n\n## Work to do\n\nSolve the task efficiently. The simulation is already running.\nFollow the task instruction above, including its completion requirements.\nUse `roboenv describe --endpoint \"$ROBOENV_ENDPOINT\"` to inspect the environment\nand public task context. Its native instruction is reference text; the task\ninstruction above already includes this episode's required assignments.\nReuse your saved tools, skills, and memos.\n\n## Limits\n\nYou have no limit on native action frames. Execution mode is `realtime`: physics continues during reasoning and tool calls. The world's `wait` action waits for the already-running simulation; it does not grant additional time or pause physics. Buffered motion stops at its declared duration.\nJoint and gripper writes use `actions` and `duration_s` to submit a buffer and\nreturn immediately. Concurrent waits share the same clock.\nReads and writes do not advance physics by themselves. Submission or\nelapsed time does not prove arrival; inspect measured feedback. Device stop\naffects only its declared scope without ending the episode. The safety timeout is\n3600 seconds, including updates to saved resources.\nDo not launch or reset a simulation.\n\n\n\n## Completion\n\nUse `roboenv status --endpoint \"$ROBOENV_ENDPOINT\" --json` to check the simulation\nstate and remaining budget. It does not report success or failure. When finished,\ncall `roboenv stop --endpoint \"$ROBOENV_ENDPOINT\" --json` to finalize the attempt\nand receive the final judgment. Stopping does not grant a retry. If the simulation\nhas already terminated, use the same stop command to retrieve its final judgment.\n\n## Saved resources\n\nMaintain reusable code in `.kinex/tools/`, skills in `.kinex/skills/`, and concise working notes\nin `.kinex/memos/`. Improve existing files in place as you learn, replacing outdated\ncontent. Create a new file only when no existing resource fits; do not create\nper-attempt reflections or numbered copies. These files persist across fresh\nconversations. Update them before finishing your response.\n\n## Robot and device access\n\nThe robot is **Booster T2 with BrainCo Revo2 hands**, running in **isaaclab**.\n\n| Device | Type |\n|---|---|\n| `base` | velocity |\n| `head` | joint |\n| `head_camera` | rgbd |\n| `left_arm` | joint |\n| `left_hand` | dexterous_hand |\n| `right_arm` | joint |\n| `right_hand` | dexterous_hand |\n| `world` | world |\n\nWork in `/workspace`. Use the registered devices in `.kinex/devices/`\nand the robot specification in `.kinex/workspace.yaml`.\nThe Kinex adapter installs and refreshes these resources\nfor the current episode. Use Kinex's device tools and profiles for action schemas,\nunits, frames, and feedback. Device `stop` follows its declared affected-device\nscope; `roboenv stop --endpoint \"$ROBOENV_ENDPOINT\"` finalizes the assigned simulation\nand returns its final judgment.\nImprove existing tools, skills, and memos in place.\n\n" + }, + { + "path": ".kinex/workspace.yaml", + "bytes": 888, + "sha256": "73bc38f3d9038fac8066f8181c57b256647ba839e068aa277e2a0beb1e6c92eb", + "change": "added", + "content": "identity:\n source: introspected\n id: isaaclab-booster-t2\n name: Booster T2 (simulated)\n platform: sim\n kind: humanoid\n model: Booster T2 with BrainCo Revo2 hands\nsim:\n source: introspected\n simulator: isaaclab\n notes: Isaac Lab / PhysX. A fixed whole-body controller tracks base velocity and\n arm palm targets; head and fingers are position driven. Arm joint writes are converted\n to palm targets and the controller chooses its joint configuration. Judge arrival\n using palm FK of measured joints. Finger stop retains grip preload. In realtime,\n physics continues during reasoning; in stepped mode, world.wait advances it. Device\n writes never advance physics themselves.\ndevices:\n source: introspected\nsafety:\n source: user\n notes: Follow instruction.md for task-specific limits.\nmeta:\n created_at: '2026-10-20T00:00:00Z'\n updated_at: '2026-10-20T00:00:00Z'\n" + }, + { + "path": ".kinex/tools/book_transfer.py", + "bytes": 2689, + "sha256": "83690d2aa7d7e173a6fddc0d951e5a74d5a073a6b8803d70807ea72aefdb2f60", + "change": "added", + "content": "\"\"\"Reusable RGBD measurement and bounded T2 motion helpers (run via Kinex exec).\"\"\"\nimport numpy as np\nfrom scipy.spatial.transform import Rotation as R\nfrom kinex import device, call, profile\nfrom kinex.camera import ray, read_depth\n\ndef observe(pixels=()):\n p=profile('head_camera')['intrinsics']\n shot=device('head_camera','read',{'output':'file'})\n w,h,raw=read_depth(shot['depth_file'],p['depth'])\n depth=np.array(raw).reshape(h,w)\n tf=call('relative_pose',child={'frame':'head_camera'},parent={'frame':'base'})['pose']\n rot=R.from_quat(tf[3:])\n pts=[]\n for u,v in pixels:\n patch=depth[max(0,v-2):v+3,max(0,u-2):u+3]\n z=float(np.median(patch[patch!=p['depth']['invalid_value']]))*p['depth']['scale_m_per_unit']\n assert p['depth']['registration']=='color' and p['depth']['quantity']=='z'\n assert p['depth']['valid_range_m']['min']<=z<=p['depth']['valid_range_m']['max']\n xyz=rot.apply(np.array(ray(p['color'],u,v))*z)+tf[:3]\n pts.append(xyz.tolist())\n return shot,pts\n\ndef move(vx=0,vy=0,wz=0,t=1):\n state=device('base')\n if state.get('faults'): raise RuntimeError(state)\n device('base','write',{'mode':'locomotion','velocity':{'vx':vx,'vy':vy,'wz':wz},'duration_s':t})\n device('world','wait',{'duration_s':t+2.0})\n state=device('base')\n if state.get('faults'): device('base','stop'); raise RuntimeError(state)\n return state\n\ndef palm(side='right'):\n s=device(side+'_arm')\n if s.get('faults'): device(side+'_arm','stop'); raise RuntimeError(s)\n return device(side+'_arm','fk',{'joints':s['positions']})\n\ndef arm(pose,side='right',duration=2):\n s=device(side+'_arm')\n if s.get('faults'): raise RuntimeError(s)\n sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']})\n print('ik',sol)\n joints=sol['joints'] if 'joints' in sol else sol['positions']\n device(side+'_arm','write',{'actions':[joints],'duration_s':duration})\n device('world','wait',{'duration_s':duration+0.6})\n print('measured palm',palm(side))\n\ndef dual(poses,duration=2):\n from kinex import devices\n calls=[]\n for side,pose in poses.items():\n s=device(side+'_arm')\n if s.get('faults'): raise RuntimeError(s)\n sol=device(side+'_arm','ik',{'pose':pose,'seed':s['positions']})\n calls.append({'deviceID':side+'_arm','action':'write','args':{'actions':[sol['joints']],'duration_s':duration}})\n result=devices(calls)\n if not all(r['ok'] for r in result['results']):\n for side in poses: device(side+'_arm','stop')\n raise RuntimeError(result)\n device('world','wait',{'duration_s':duration+1})\n for side in poses: print(side,palm(side))\n" + }, + { + "path": ".kinex/tools/rgbd_tracking.py", + "bytes": 2400, + "sha256": "7d5fc93d4df4bf832fda7939d998b9206106d6b54ef9f37911df953766998c9f", + "change": "added", + "content": "\"\"\"Static-scene RGBD odometry for short visually verified robot movements.\nEstimates transform between successive camera captures; do not treat moved objects as static.\n\"\"\"\nimport cv2\nimport numpy as np\nfrom scipy.spatial.transform import Rotation as R\nfrom kinex import device, profile, call\nfrom kinex.camera import read_depth, ray\n\ndef capture():\n p=profile('head_camera')['intrinsics']\n s=device('head_camera','read',{'output':'file'})\n w,h,d=read_depth(s['depth_file'],p['depth'])\n tf=call('relative_pose',child={'frame':'head_camera'},parent={'frame':'base'})['pose']\n return {'shot':s,'depth':np.array(d).reshape(h,w)*p['depth']['scale_m_per_unit'],'tf':tf,'profile':p,'gray':cv2.imread(s['file'],0)}\n\ndef points(cap,uv):\n uv=np.array(uv);ij=np.rint(uv).astype(int)\n z=cap['depth'][ij[:,1],ij[:,0]]\n return np.array([ray(cap['profile']['color'],u,v) for u,v in uv])*z[:,None]\n\ndef rigid(a,b):\n ac=a.mean(0);bc=b.mean(0)\n u,s,v=np.linalg.svd((a-ac).T@(b-bc));rot=v.T@u.T\n if np.linalg.det(rot)<0:v[-1]*=-1;rot=v.T@u.T\n return rot,bc-rot@ac\n\ndef motion(old,new):\n det=cv2.SIFT_create(nfeatures=2000)\n mask=np.zeros_like(old['gray']);mask[:300,:]=255\n k1,d1=det.detectAndCompute(old['gray'],mask);k2,d2=det.detectAndCompute(new['gray'],mask)\n pairs=cv2.BFMatcher().knnMatch(d1,d2,k=2)\n m=[x for x,y in pairs if x.distance<.7*y.distance]\n a=points(old,[k1[x.queryIdx].pt for x in m]);b=points(new,[k2[x.trainIdx].pt for x in m])\n good=(a[:,2]>.05)&(b[:,2]>.05)&(a[:,2]<5)&(b[:,2]<5);a=a[good];b=b[good]\n if len(a)<8:raise ValueError('insufficient static correspondences')\n rng=np.random.default_rng(5);best=[]\n for _ in range(400):\n ix=rng.choice(len(a),3,replace=False);rot,t=rigid(a[ix],b[ix]);e=np.linalg.norm(a@rot.T+t-b,axis=1);ix=np.where(e<.015)[0]\n if len(ix)>len(best):best=ix\n if len(best)<15:raise ValueError('odometry fit failed: insufficient static-scene support')\n rot,t=rigid(a[best],b[best]);err=np.linalg.norm(a[best]@rot.T+t-b[best],axis=1)\n print('static odometry',{'inliers':len(best),'matches':len(a),'rms':float(np.sqrt(np.mean(err**2)))})\n return rot,t\n\ndef transfer(xyz,old,new):\n rot,t=motion(old,new)\n cam_old=R.from_quat(old['tf'][3:]).inv().apply(np.asarray(xyz)-old['tf'][:3])\n cam_new=rot@cam_old+t\n return R.from_quat(new['tf'][3:]).apply(cam_new)+new['tf'][:3]\n" + }, + { + "path": ".kinex/memos/t2-fetch-book.md", + "bytes": 4230, + "sha256": "58853f21b324e11095281ac196a5646bf9edb9e33ae87ec94d29e53089b6d1bb", + "change": "added", + "content": "# T2 fetch-book: operational lessons\n\nResources: `tools/book_transfer.py` (RGBD pixel measurements in base frame, bounded base moves, arm IK/write/FK, concurrent two-arm motion); `tools/rgbd_tracking.py` (experimental static-scene tracking, NOT a reliable navigation source yet).\n\n## Interface and geometry\n- Inspect current profiles and `roboenv describe` each episode; do not reset. Arm writes become whole-body palm goals, not exact joint tracking. Check measured palm FK, not command acceptance.\n- Palm axes: +X out of palm, +Z fingertips. Open fingertips extend ~8\u201310 cm. Read current hand geometry.\n- Observed base height ~0.98 m. Lower shelf/book top roughly base Z=-0.30 m; tray floor ~-0.22 m. These are episode observations, not persistent calibration.\n- Low palm targets often undertracked by 3\u20137 cm. Some IK-valid targets at Z=-0.30 were rejected as outside trained workspace. Floor pickup is beyond this standing embodiment's available reach; avoid dropping the book.\n- Camera head pitch +0.3/+0.4 sees manipulation, -0.25 sees navigation. Upper shelf hides the book when too close. Wait for head arrival before using image pixels.\n- Base responses are nonlinear and have settling/rebound; negative VX in particular needs ~2 s settling. Sample measured feedback and recapture after each small move. Do not infer displacement from velocity*duration. Arm motion can change body pose, so remeasure object coordinates.\n\n## Partial method that actually lifted the book\nA bimanual side squeeze with OPEN fingers pointing mostly down lifted the book ~9 cm and carried it away from the shelf. This is fragile and was NOT successfully completed.\n- Position near shelf so book's front edge is ~0.40\u20130.45 m forward, centered laterally. Long book edge can run across robot Y.\n- Palm orientation candidates: Rz(yaw) * Ry(-10 to -30 deg) * quaternion([+sqrt(.5),sqrt(.5),0,0] right / [-sqrt(.5),sqrt(.5),0,0] left). Fingers point down/forward, palm normals face inward.\n- An observed side-contact configuration used right palm goal [0.43,-0.115,-0.24], yaw 15 deg, tilt -30 deg; left [0.40,0.08,-0.25], yaw 0, tilt -30. These are NOT universal coordinates; measure current book edges first.\n- Concurrent lifting/backward translation produced book top Z~-0.21 versus shelf top~-0.30, visually verified between hands. Both hand actuators stayed at zero/open.\n\n## Critical failure to avoid\nThe book eventually slipped during a base turn near the desk and landed on the floor; the task failed.\n**Preserve commanded inward squeeze preload during every lift/transport transform. Do not replace commanded lateral goals with measured contact-deflected palm positions.** Doing so widens the commanded grasp and removes its force. Several moves in this attempt were rebased on measured FK; that is a likely contributor to the eventual loss. The book progressively tilted vertical during transport. Stop and stabilize before navigating if this occurs.\n- Establish a supported/thumb-assisted grasp or maintain sufficient bimanual inward compression before long transport. Do not assume a visually suspended book is a durable grasp.\n- Transform both commanded palm poses by the same rigid motion, solve BOTH IKs before either write, submit concurrently, verify book pose afterwards. Preserve contact geometry and preload.\n- Reach high poses by moving hands slightly forward as well as up; pure raising/retraction caused IK failures, while +0.06 X,+0.08 Z succeeded with appropriate seeds.\n- Approach the reading desk from its open LONG side, like the initial camera view. The short end leaves the tray center too far beyond arm reach. Plan the return approach before lifting; avoid late sharp turns while holding a friction-only grasp.\n\n## Tracking caution\nRGBD SIFT matching initially matched stationary-in-robot hands instead of the scene and falsely estimated zero motion. Current helper masks the bottom image and requires >=15 inliers, but large occlusions still fail. Never propagate object coordinates on failed/weak odometry, nor treat a contacted object as static.\n\nFinalize with `roboenv status --endpoint \"$ROBOENV_ENDPOINT\" --json`, then `roboenv stop --endpoint \"$ROBOENV_ENDPOINT\" --json`; only stop returns final judgment.\n" + } + ], + "device_bundle_differences": [], + "raw_workspace_hashes_verified": true +} diff --git a/runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/assessment.json b/runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/assessment.json index 8883a5ef45355bed8f7b0816f61a9ce3ad0ec5e9..5f9f61d59604765b494e1ce739b32609aa0ad026 100644 --- a/runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/assessment.json +++ b/runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/assessment.json @@ -21,5 +21,12 @@ "usage_complete": false, "fresh_native_replay_passed": null, "manual_visual_review": false, - "sampled_terminal_frame_review": null + "sampled_terminal_frame_review": { + "image": "20-attempt1-head.jpg", + "sha256": "41bf1aa5640a6772bd449a400ba4698253e456cc6836043405eea4c19462f6fb", + "observation": "The head and hand views show the parcel resting on the kitchen floor beside the robot, away from the delivery tray. The sealed parcel position is about (2.166, -0.044, 0.200), versus tray (0.500, -5.950, 0.825). Native door_opened_first is true, but actual_passage and bilateral_delivery are false.", + "alignment": "The visible undelivered parcel agrees with native failure. Door-opening order and passage history remain temporal native evidence.", + "camera_limitations": "The terminal overview frame is occluded by a wall. Head and hand views remain usable; overview alone is insufficient at this terminal pose.", + "scope": "Three extracted terminal frames visually inspected by the coding agent plus sealed state for attempt 1; not full video review or a fresh native replay." + } } diff --git a/runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/composite.jpg b/runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/composite.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5f985ed1272b5378a598cbf14133446ad870731b --- /dev/null +++ b/runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/composite.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a29947cf82d7d38cfcddd6faeab94c8531ee8eec63232e67ad9e695656970090 +size 72852 diff --git a/runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/composite.json b/runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/composite.json new file mode 100644 index 0000000000000000000000000000000000000000..29e35c44e272cd0346b2db2174072bcbc67181d8 --- /dev/null +++ b/runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/composite.json @@ -0,0 +1,9 @@ +{ + "video": "runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/composite.mp4", + "poster": "runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/composite.jpg", + "sha256": "0b6b836dc84fd9dbc3cd24c0f241bae238160f26819bf8057aba5b337ffed578", + "layout": "Overview and head above enlarged hands; synchronized original frames at 10 fps", + "media_kind": "composite of three live recordings", + "frame_count": 6645, + "passed": true +} diff --git a/runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/composite.mp4 b/runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/composite.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..c5bec7bf8877e095b97c19b8b954e36553c242ec --- /dev/null +++ b/runs/household-v5-astra-high-seed0/20-deliver-parcel-through-door/composite.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0b6b836dc84fd9dbc3cd24c0f241bae238160f26819bf8057aba5b337ffed578 +size 96712930