Build a Robot-Cell Commissioning Acceptance Dossier Compiler
Evaluate simulated robot-cell motion trials and axis limit margins using MoveIt kinematic profiles. Compile formal site acceptance test packets with verified reachability clearances and speed limits.
What you are building
The core problem, expected build, and operating context for this challenge.
Evaluate simulated robot-cell motion trials and axis limit margins using MoveIt kinematic profiles. Compile formal site acceptance test packets with verified reachability clearances and speed limits.
Automation Commissioning Engineer
Ingest MoveIt joint trajectory execution records and nominal cell boundary extents.
Calculate axis velocity margin deviations and safety perimeter clearances.
Score test execution against predefined acceptance criteria for reachability and cycle time.
Synthesize an immutable site acceptance testing sign-off packet for engineering review.
Web dashboard showing commissioning stage progress, joint margin deviations, and an acceptance dossier approval viewer.
Generate synthetic JSON records representing MoveIt joint trajectory execution logs with simulated kinematic offsets and cycle runtimes. Starter examples below are synthetic. They are not downloaded records.
MoveIt robotics Applies MoveIt motion planning concepts, specifically joint limits and kinematic reachability envelopes referenced in MoveIt 2 documentation.
pydantic-ai, fastapi, pytest. Pydantic AI enforces strict type constraints on commissioning metrics and produces validated JSON acceptance dossiers. Local or hosted LLM with structured output capabilities; requires fast schema validation for acceptance reporting.
Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.
Validates all robot joints against prescribed velocity and position thresholds.
Detects at least one clearance breach when given out-of-boundary tool coordinates.
Outputs a valid JSON acceptance dossier with pass/fail attestation.
```json [ { "input": { "cell_id": "CELL-01", "trajectory_points": [ { "joint_1_rad": 0.5, "joint_2_rad": -0.2, "velocity_rad_s": 1.2, "clearance_mm": 250 }, { "joint_1_rad": 1.1, "joint_2_rad": -0.4, "velocity_rad_s": 1.4, "clearance_mm": 210 } ], "cycle_time_target_s": 12, "actual_cycle_time_s": 10.8 }, "expected_output": { "cell_id": "CELL-01", "acceptance_status": "APPROVED", "min_clearance_mm": 210, "max_velocity_rad_s": 1.4, "acceptance_notes": "All axes within speed envelope and minimum safe clearance maintained." } }, { "input": { "cell_id": "CELL-02", "trajectory_points": [ { "joint_1_rad": 2.8, "joint_2_rad": 1.9, "velocity_rad_s": 3.8, "clearance_mm": 35 } ], "cycle_time_target_s": 10, "actual_cycle_time_s": 14.5 }, "expected_output": { "cell_id": "CELL-02", "acceptance_status": "REJECTED", "min_clearance_mm": 35, "max_velocity_rad_s": 3.8, "acceptance_notes": "Safety clearance dropped below 50mm buffer limit; velocity exceeds 3.0 rad/s." } } ] ```
Read-only trajectory verification; simulated acceptance evaluation without physical machine enablement. Use mock external writes. Require human review before any real deployment.
Participation guide
Read-only trajectory verification; simulated acceptance evaluation without physical machine enablement. Use mock external writes and human review.
How work is evaluated
Validates all robot joints against prescribed velocity and position thresholds. Detects at least one clearance breach when given out-of-boundary tool coordinates. Outputs a valid JSON acceptance dossier with pass/fail attestation.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Ingest MoveIt joint trajectory execution records and nominal cell boundary extents. Calculate axis velocity margin deviations and safety perimeter clearances. Score test execution against predefined acceptance criteria for reachability and cycle time. Synthesize an immutable site acceptance testing sign-off packet for engineering review.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Validates all robot joints against prescribed velocity and position thresholds. Detects at least one clearance breach when given out-of-boundary tool coordinates. Outputs a valid JSON acceptance dossier with pass/fail attestation.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Web dashboard showing commissioning stage progress, joint margin deviations, and an acceptance dossier approval viewer.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Read-only trajectory verification; simulated acceptance evaluation without physical machine enablement.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Ingest MoveIt joint trajectory execution records and nominal cell boundary extents.
Calculate axis velocity margin deviations and safety perimeter clearances.
Score test execution against predefined acceptance criteria for reachability and cycle time.
Synthesize an immutable site acceptance testing sign-off packet for engineering review.
Reference links and supporting material
Generate synthetic JSON records representing MoveIt joint trajectory execution logs with simulated kinematic offsets and cycle runtimes. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
Pydantic AI
Typed Python agent framework.
Evaluated output
No output checks are configured.
- Ingest MoveIt joint trajectory execution records and nominal cell boundary extents. Calculate axis velocity...
- Validates all robot joints against prescribed velocity and position thresholds. Detects at least one cleara...
- Web dashboard showing commissioning stage progress, joint margin deviations, and an acceptance dossier appr...
- 2 public reference cases
- 2 configured tools
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
View technical recipe
Configured tools
- Pydantic AI · Optional
- Pydantic AI · Optional
Evaluation contract
- Complete workflow · Weight 40
- Correctness and evidence · Weight 30
- Review interface · Weight 20
- Safe execution · Weight 10
Reference cases
- 2 public reference cases
Workflow tasks
No workflow tasks are configured.
Recipe freeze marker
No recipe freeze time is recorded.