Build a Robot-Cell Weld Optical Inspection Defect Triage Planner
Parse automated optical inspection defect point clouds for preliminary geometric screening. Triage non-conforming weld assemblies, proposing simulated robot abrasive rework paths while marking actual MoveIt kinematics as unverified.
What you are building
The core problem, expected build, and operating context for this challenge.
Parse automated optical inspection defect point clouds for preliminary geometric screening. Triage non-conforming weld assemblies, proposing simulated robot abrasive rework paths while marking actual MoveIt kinematics as unverified.
Robot Cell Process and Welding Engineer
Ingest optical weld seam inspection profiles containing 3D defect coordinate clusters, porosity depths, and simplified operational feed rates.
Perform preliminary geometric screening of 3D defect bounds against explicitly supplied fictional robot reachability radial thresholds.
Classify defects into proposed robot grinding routines, manual repair bench triage, or terminal scrap dispositions based on defect depth.
Synthesize preliminary waypoint coordinates for robot rework trajectories and generate a dossier explicitly marking collision and reachability checks as unverified pending an actual MoveIt solver.
3D coordinate visualizer showing weld seam defect clusters, simplified reachability boundaries, and a disposition summary panel flagging unverified kinematic states.
Generate 200 synthetic weld inspection records containing XYZ defect coordinates, seam lengths, defect depths, and explicitly supplied fictional feed rates and reach thresholds. Starter examples below are synthetic. They are not downloaded records.
MoveIt robotics References MoveIt principles by explicitly deferring actual inverse kinematics and collision avoidance to a dedicated MoveIt solver in downstream steps.
dspy, scipy, fastapi. DSPy provides declarative prompt optimization to reliably translate 3D geometric defect bounds and rules into structured preliminary trajectory planning decisions. Requires spatial reasoning capability via hosted LLM or fine-tuned instruction model to apply explicit geometric rules.
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.
Identifies whether seam coordinates fall inside or outside the defined simplified geometric reachability sphere radius.
Routes seams with excessive defect depth (>3mm) to scrap or manual benches regardless of preliminary reachability.
Outputs a JSON rework trajectory including proposed waypoint offsets, explicitly marking reachability and collision checks as unverified.
```json [ { "input": { "weld_id": "WELD-SEAM-772", "defect_type": "porosity", "defect_depth_mm": 1.4, "coordinates": { "x": 0.45, "y": 0.2, "z": 0.35 }, "fictional_thresholds": { "max_radius_m": 0.85, "min_radius_m": 0.15, "grinding_feed_rate_mm_s": 15 } }, "expected_output": { "weld_id": "WELD-SEAM-772", "preliminary_reachability": "within_radius", "kinematics_verified": false, "triage_decision": "PROPOSED_ROBOT_REWORK", "rework_plan": { "tool_pass": "abrasive_grind", "feed_rate_mm_s": 15, "target_coordinates": { "x": 0.45, "y": 0.2, "z": 0.35 } } } }, { "input": { "weld_id": "WELD-SEAM-910", "defect_type": "burn_through", "defect_depth_mm": 4.2, "coordinates": { "x": 0.95, "y": 0.5, "z": 0.6 }, "fictional_thresholds": { "max_radius_m": 0.85, "min_radius_m": 0.15, "grinding_feed_rate_mm_s": 15 } }, "expected_output": { "weld_id": "WELD-SEAM-910", "preliminary_reachability": "outside_radius", "kinematics_verified": false, "triage_decision": "SCRAP_OR_MANUAL_BENCH", "rework_plan": null } } ] ```
Simulation and offline trajectory generation only; no direct execution on physical robot arm controllers. Use mock external writes. Require human review before any real deployment.
Participation guide
Simulation and offline trajectory generation only; no direct execution on physical robot arm controllers. Use mock external writes and human review.
How work is evaluated
Identifies whether seam coordinates fall inside or outside the defined simplified geometric reachability sphere radius. Routes seams with excessive defect depth (>3mm) to scrap or manual benches regardless of preliminary reachability. Outputs a JSON rework trajectory including proposed waypoint offsets, explicitly marking reachability and collision checks as unverified.
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 optical weld seam inspection profiles containing 3D defect coordinate clusters, porosity depths, and simplified operational feed rates. Perform preliminary geometric screening of 3D defect bounds against explicitly supplied fictional robot reachability radial thresholds. Classify defects into proposed robot grinding routines, manual repair bench triage, or terminal scrap dispositions based on defect depth. Synthesize preliminary waypoint coordinates for robot rework trajectories and generate a dossier explicitly marking collision and reachability checks as unverified pending an actual MoveIt solver.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Identifies whether seam coordinates fall inside or outside the defined simplified geometric reachability sphere radius. Routes seams with excessive defect depth (>3mm) to scrap or manual benches regardless of preliminary reachability. Outputs a JSON rework trajectory including proposed waypoint offsets, explicitly marking reachability and collision checks as unverified.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
3D coordinate visualizer showing weld seam defect clusters, simplified reachability boundaries, and a disposition summary panel flagging unverified kinematic states.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Simulation and offline trajectory generation only; no direct execution on physical robot arm controllers.
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 optical weld seam inspection profiles containing 3D defect coordinate clusters, porosity depths, and simplified operational feed rates.
Perform preliminary geometric screening of 3D defect bounds against explicitly supplied fictional robot reachability radial thresholds.
Classify defects into proposed robot grinding routines, manual repair bench triage, or terminal scrap dispositions based on defect depth.
Synthesize preliminary waypoint coordinates for robot rework trajectories and generate a dossier explicitly marking collision and reachability checks as unverified pending an actual MoveIt solver.
Reference links and supporting material
Generate 200 synthetic weld inspection records containing XYZ defect coordinates, seam lengths, defect depths, and explicitly supplied fictional feed rates and reach thresholds. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
DSPy
Prompt and LM program optimization framework.
Evaluated output
No output checks are configured.
- Ingest optical weld seam inspection profiles containing 3D defect coordinate clusters, porosity depths, and...
- Identifies whether seam coordinates fall inside or outside the defined simplified geometric reachability sp...
- 3D coordinate visualizer showing weld seam defect clusters, simplified reachability boundaries, and a dispo...
- 2 public reference cases
- 3 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
- DSPy · Optional
- DSPy · Optional
- DSPy · 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
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