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Challenge

Build a MoveIt Joint Limit and Singularity Pre-Flight Checker

Evaluate planned MoveIt robot trajectories for proximity to mechanical joint limits and kinematic singularities. Flag problematic path waypoints before physical execution on the shop floor.

EngineeringHosted by Vera
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Evaluate planned MoveIt robot trajectories for proximity to mechanical joint limits and kinematic singularities. Flag problematic path waypoints before physical execution on the shop floor.

Automation Cell Maintenance Specialist

Ingest proposed MoveIt joint-space trajectory plans and robot URDF kinematic limits.

Analyze waypoint joint angles against maximum extension, velocity, and effort constraints.

Calculate Jacobian determinants along the path to detect approaching kinematic singularities.

Compile a pre-flight trajectory audit identifying specific waypoints that violate joint or singularity margins for human review.

Review terminal displaying trajectory safety status and joint limit margin warnings.

Simulate simplified synthetic app records of MoveIt joint trajectories, not complete official schema files, combining joint states and calculated Jacobian determinants. Starter examples below are synthetic. They are not downloaded records.

MoveIt robotics Uses MoveIt 2 documentation context for handling joint constraints and kinematic planning scenes.

ray-serve, numpy, pydantic. Ray Serve enables parallel evaluation of trajectory waypoints for rapid pre-flight kinematic checks. Requires basic text evaluation for compiling pre-flight human-readable safety audit reports.

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.

Calculates joint margin violations correctly against provided mechanical limits.

Flags low Jacobian determinant values as singularity warnings based on threshold.

Synthesizes structured pre-flight validation status for maintenance review.

Rejects trajectory plans missing required joint angle definitions.

```json [ { "input": { "trajectory_id": "PLAN-A", "waypoints": [ { "waypoint_index": 0, "j1": 1.5, "j2": 0.5, "jacobian_det": 0.8 }, { "waypoint_index": 1, "j1": 1.6, "j2": 3.2, "jacobian_det": 0.7 } ], "joint_limits": { "j1": { "min": -3.14, "max": 3.14 }, "j2": { "min": -3.14, "max": 3.14 } }, "singularity_threshold": 0.05 }, "expected_output": { "trajectory_id": "PLAN-A", "flight_status": "REJECTED_JOINT_LIMIT", "violations": [ { "waypoint_index": 1, "joint": "j2", "value": 3.2, "limit": 3.14 } ], "singularity_detected": false } }, { "input": { "trajectory_id": "PLAN-B", "waypoints": [ { "waypoint_index": 0, "j1": 0, "j2": 0, "jacobian_det": 0.01 } ], "joint_limits": { "j1": { "min": -3.14, "max": 3.14 }, "j2": { "min": -3.14, "max": 3.14 } }, "singularity_threshold": 0.05 }, "expected_output": { "trajectory_id": "PLAN-B", "flight_status": "REJECTED_SINGULARITY", "violations": [], "singularity_detected": true } } ] ```

Maintains simulated validation only; does not send unverified trajectories to physical robot controllers. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Maintains simulated validation only; does not send unverified trajectories to physical robot controllers. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Calculates joint margin violations correctly against provided mechanical limits. Flags low Jacobian determinant values as singularity warnings based on threshold. Synthesizes structured pre-flight validation status for maintenance review. Rejects trajectory plans missing required joint angle definitions.

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 proposed MoveIt joint-space trajectory plans and robot URDF kinematic limits. Analyze waypoint joint angles against maximum extension, velocity, and effort constraints. Calculate Jacobian determinants along the path to detect approaching kinematic singularities. Compile a pre-flight trajectory audit identifying specific waypoints that violate joint or singularity margins for human 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

Calculates joint margin violations correctly against provided mechanical limits. Flags low Jacobian determinant values as singularity warnings based on threshold. Synthesizes structured pre-flight validation status for maintenance review. Rejects trajectory plans missing required joint angle definitions.

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

Review terminal displaying trajectory safety status and joint limit margin warnings.

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

Maintains simulated validation only; does not send unverified trajectories to physical robot controllers.

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 proposed MoveIt joint-space trajectory plans and robot URDF kinematic limits.

  • Analyze waypoint joint angles against maximum extension, velocity, and effort constraints.

  • Calculate Jacobian determinants along the path to detect approaching kinematic singularities.

  • Compile a pre-flight trajectory audit identifying specific waypoints that violate joint or singularity margins for human review.

Resources and assets

Reference links and supporting material

Dataset notes

Simulate simplified synthetic app records of MoveIt joint trajectories, not complete official schema files, combining joint states and calculated Jacobian determinants. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Ray Serve

Action Space in the agent workflow.

Evaluated output

No output checks are configured.

Evaluation checks
  • Ingest proposed MoveIt joint-space trajectory plans and robot URDF kinematic limits. Analyze waypoint joint...
  • Calculates joint margin violations correctly against provided mechanical limits. Flags low Jacobian determi...
  • Review terminal displaying trajectory safety status and joint limit margin warnings.
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 1 configured tool

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
  • Ray Serve · 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 MoveIt Joint Limit and Singularity Pre-Flight Checker