Build a Robot-Cell Thermal Warpage Inspection Planner
Analyze 3D optical scanner point clouds for thermal warpage against MoveIt collision meshes. Plan robot-assisted flame straightening trajectories for out-of-tolerance structural frames, or divert to manual repair stations.
What you are building
Analyze 3D optical scanner point clouds for thermal warpage against MoveIt collision meshes. Plan robot-assisted flame straightening trajectories for out-of-tolerance structural frames, or divert to manual repair stations.
Welding Cell Quality Specialist
Ingest 3D scanner point clouds of welded assemblies and baseline CAD collision meshes from local storage.
Calculate maximum thermal warpage distortion vectors using point cloud registration against baseline geometries.
Evaluate kinematic reachability in MoveIt for secondary flame straightening torch trajectories along distorted areas.
Emit a structured heating runbook detailing torch approach vectors, dwell times, or manual diversion routings.
Metrology dashboard displaying 3D thermal distortion heatmaps, point cloud registrations, and robotic trajectory overlays.
Normalized 3D point cloud coordinate files and simulated robot arm DH-parameters stored as simplified synthetic JSON schema files. Starter examples below are synthetic. They are not downloaded records.
MoveIt robotics MoveIt motion planning framework for kinematic reachability and collision mesh evaluations.
agno, open3d, numpy, pydantic. Lightweight agentic orchestration to package calculated warpage vectors and coordinate MoveIt solver queries into structured heating tasks. Fast hosted or local model capable of translating 3D distortion metrics into structured JSON trajectory plans.
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 accurate deviation magnitudes from given nominal and scanned 3D coordinates.
Rejects automated flame straightening for warpage exceeding 10.0mm, routing to manual repair.
Calculates dwell_time_s as exactly 10 times the max_deviation_mm for robot routing.
Emits complete payload containing specific dwell times, passes, and manual intervention flags.
```json [ { "input": { "part_id": "FRAME_SUB_849", "distortion_type": "BOWING", "max_deviation_mm": 4.5, "coordinates": { "x": 320, "y": 140, "z": 210 }, "kinematic_reachable": true }, "expected_output": { "routing": "ROBOT_FLAME_STRAIGHTENING", "tool_action": "LOCALIZED_HEATING", "parameters": { "dwell_time_s": 45, "passes": 1 }, "manual_intervention_required": false } }, { "input": { "part_id": "FRAME_SUB_850", "distortion_type": "TWIST", "max_deviation_mm": 12.5, "coordinates": { "x": 320, "y": 140, "z": 210 }, "kinematic_reachable": true }, "expected_output": { "routing": "MANUAL_REPAIR_STATION", "tool_action": "REJECT_FROM_ROBOT_CELL", "parameters": {}, "manual_intervention_required": true } } ] ```
Read-only metrology evaluation; physical localized heating tasks require prior human review and cell safety clearance. Use mock external writes. Require human review before any real deployment.
Rules
Read-only metrology evaluation; physical localized heating tasks require prior human review and cell safety clearance. Use mock external writes and human review.
How work is evaluated
Calculates accurate deviation magnitudes from given nominal and scanned 3D coordinates. Rejects automated flame straightening for warpage exceeding 10.0mm, routing to manual repair. Calculates dwell_time_s as exactly 10 times the max_deviation_mm for robot routing. Emits complete payload containing specific dwell times, passes, and manual intervention flags.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
Complete workflow
Ingest 3D scanner point clouds of welded assemblies and baseline CAD collision meshes from local storage. Calculate maximum thermal warpage distortion vectors using point cloud registration against baseline geometries. Evaluate kinematic reachability in MoveIt for secondary flame straightening torch trajectories along distorted areas. Emit a structured heating runbook detailing torch approach vectors, dwell times, or manual diversion routings.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Calculates accurate deviation magnitudes from given nominal and scanned 3D coordinates. Rejects automated flame straightening for warpage exceeding 10.0mm, routing to manual repair. Calculates dwell_time_s as exactly 10 times the max_deviation_mm for robot routing. Emits complete payload containing specific dwell times, passes, and manual intervention flags.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Metrology dashboard displaying 3D thermal distortion heatmaps, point cloud registrations, and robotic trajectory overlays.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Read-only metrology evaluation; physical localized heating tasks require prior human review and cell safety clearance.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Learning goals
Ingest 3D scanner point clouds of welded assemblies and baseline CAD collision meshes from local storage.
Calculate maximum thermal warpage distortion vectors using point cloud registration against baseline geometries.
Evaluate kinematic reachability in MoveIt for secondary flame straightening torch trajectories along distorted areas.
Emit a structured heating runbook detailing torch approach vectors, dwell times, or manual diversion routings.
Resources
Normalized 3D point cloud coordinate files and simulated robot arm DH-parameters stored as simplified synthetic JSON schema files. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Challenge input
Input details are not configured.
Agno
Framework for multimodal agents.
Evaluated output
No output checks are configured.
- Ingest 3D scanner point clouds of welded assemblies and baseline CAD collision meshes from local storage. C...
- Calculates accurate deviation magnitudes from given nominal and scanned 3D coordinates. Rejects automated f...
- Metrology dashboard displaying 3D thermal distortion heatmaps, point cloud registrations, and robotic traje...
- 2 public reference cases
- 2 configured tools
Shows the first task, up to three tools, and up to three evidence items.
View technical recipe
Configured tools
- Agno · Optional
- Agno · 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.