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Challenge

Build a Robot-Cell Kinematic Reachability and Tooling Swap Verifier

Assess robotic tooling geometry changes against simulated cell envelopes using MoveIt models. Flag reachability limits and produce safety sign-off packets before physical installation.

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Challenge brief

What you are building

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

Assess robotic tooling geometry changes against simulated cell envelopes using MoveIt models. Flag reachability limits and produce safety sign-off packets before physical installation.

Robotics Integration Specialist

Parse tool frame dimensions and end-effector joint bounds from simulated MoveIt configuration files.

Model workpiece grasp coordinates against robot workspace kinematic boundaries.

Detect axis limit exceedances and workspace boundary collisions.

Compile a tooling swap validation packet with joint margin scorecards.

3D bounding box visualizer with joint limit deviation tables and sign-off export.

Construct synthetic MoveIt robot description files (URDF/SRDF fragments) and coordinate point arrays stored in a local repository directory. Starter examples below are synthetic. They are not downloaded records.

MoveIt robotics MoveIt 2 kinematic manipulation envelopes and joint limit configuration structures described in Source 1.

mastra-ai, zod, threejs. Mastra AI supports deterministic TypeScript-driven workflow orchestration with strict step validations. High-capability reasoning model for spatial translation check verification and parameter extraction.

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.

Flags grasp targets exceeding simulated robot reach envelopes.

Calculates individual joint clearance percentages against soft limit stops.

Exports structured tool clearance reports compliant with inspection standards.

```json [ { "input": { "robot_model": "Arm_6DOF_v1", "tool_offset_xyz": [ 0, 0, 0.25 ], "target_grasp_xyz": [ 0.85, 0.2, 0.4 ], "max_reach_radius": 0.9, "joint_limits_rad": { "joint_5": [ -2, 2 ] }, "projected_joint_5_rad": 1.75 }, "expected_output": { "reachability_status": "VALID", "distance_to_boundary_m": 0.026, "joint_margin_percent": 12.5, "sign_off_ready": true, "recommendation": "Tooling swap within kinematic reach bounds. Proceed to offline motion rehearsal." } }, { "input": { "robot_model": "Arm_6DOF_v1", "tool_offset_xyz": [ 0, 0, 0.4 ], "target_grasp_xyz": [ 1.1, 0, 0.5 ], "max_reach_radius": 0.9, "joint_limits_rad": { "joint_5": [ -2, 2 ] }, "projected_joint_5_rad": 2.45 }, "expected_output": { "reachability_status": "EXCEEDED", "distance_to_boundary_m": -0.308, "joint_margin_percent": 0, "sign_off_ready": false, "recommendation": "Target exceeds maximum radial reach and joint_5 limit. Reconfigure fixture placement." } } ] ```

Analytical review in simulation only. No robot trajectory commands or physical motion actuations are emitted. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Analytical review in simulation only. No robot trajectory commands or physical motion actuations are emitted. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Flags grasp targets exceeding simulated robot reach envelopes. Calculates individual joint clearance percentages against soft limit stops. Exports structured tool clearance reports compliant with inspection standards.

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

Parse tool frame dimensions and end-effector joint bounds from simulated MoveIt configuration files. Model workpiece grasp coordinates against robot workspace kinematic boundaries. Detect axis limit exceedances and workspace boundary collisions. Compile a tooling swap validation packet with joint margin scorecards.

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

Flags grasp targets exceeding simulated robot reach envelopes. Calculates individual joint clearance percentages against soft limit stops. Exports structured tool clearance reports compliant with inspection standards.

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

3D bounding box visualizer with joint limit deviation tables and sign-off export.

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

Analytical review in simulation only. No robot trajectory commands or physical motion actuations are emitted.

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

  • Parse tool frame dimensions and end-effector joint bounds from simulated MoveIt configuration files.

  • Model workpiece grasp coordinates against robot workspace kinematic boundaries.

  • Detect axis limit exceedances and workspace boundary collisions.

  • Compile a tooling swap validation packet with joint margin scorecards.

Resources and assets

Reference links and supporting material

Dataset notes

Construct synthetic MoveIt robot description files (URDF/SRDF fragments) and coordinate point arrays stored in a local repository directory. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Mastra AI

TypeScript agent framework.

Evaluated output

No output checks are configured.

Evaluation checks
  • Parse tool frame dimensions and end-effector joint bounds from simulated MoveIt configuration files. Model...
  • Flags grasp targets exceeding simulated robot reach envelopes. Calculates individual joint clearance percen...
  • 3D bounding box visualizer with joint limit deviation tables and sign-off export.
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
  • Mastra AI · Optional
Orchestration
  • Mastra 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 Kinematic Reachability and Tooling Swap Verifier