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Challenge

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.

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Challenge brief

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.

Rules

Participation guide

Read-only trajectory verification; simulated acceptance evaluation without physical machine enablement. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

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.

Submission format

Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
4 scoring checks
Binary
1 pass or fail dimensions
Ordinal
3 scaled dimensions
Dimension 1

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.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 2

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.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 3

Review interface

Web dashboard showing commissioning stage progress, joint margin deviations, and an acceptance dossier approval viewer.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 4

Safe execution

Read-only trajectory verification; simulated acceptance evaluation without physical machine enablement.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

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.

Resources and assets

Reference links and supporting material

Dataset notes

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.

Evaluation checks
  • 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...
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 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

Action Space
  • Pydantic AI · Optional
Orchestration
  • 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.

Frequently Asked Questions about Build a Robot-Cell Commissioning Acceptance Dossier Compiler