Build a Robot-Cell Mechanical Interference Disposition Engine
Evaluate dimensional metrology scan failures against MoveIt geometric collision envelopes. Synthesize disposition recommendations based on mechanical interference risks during automated assembly processes before scrapping expensive manufactured parts.
What you are building
The core problem, expected build, and operating context for this challenge.
Evaluate dimensional metrology scan failures against MoveIt geometric collision envelopes. Synthesize disposition recommendations based on mechanical interference risks during automated assembly processes before scrapping expensive manufactured parts.
Manufacturing Quality Engineer
Ingest non-conformance records containing dimensional laser scanner bounding box deviations.
Inject deviated dimensional measurements into MoveIt geometric shape definitions.
Perform collision checking simulations to detect physical interference during automated assembly insertion.
Assemble an audit-ready non-conformance dossier indicating collision risks for human engineering sign-off.
Multi-pane review console showing collision envelopes, defect images, and disposition draft.
Create simplified synthetic app records representing dimensional deviations and mating clearance measurements for robot assembly. Starter examples below are synthetic. They are not downloaded records.
MoveIt robotics Employs MoveIt geometric shape definitions and collision checking capabilities from Source 1 to evaluate interference.
dspy, pydantic, numpy. DSPy compiles optimized prompts and assertions to reliably categorize non-conformance dispositions based on simulated collision outputs. Local or hosted LLM capable of structured reasoning on numerical tolerance variances and boolean collision flags.
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.
Correctly calculates interference risk percentage from measured dimensions and clearances.
Flags detected structural collisions as mandatory scrap dispositions.
Validates that disposition outputs follow strict engineering review board schemas.
```json [ { "input": { "part_serial": "CAST-BLK-891", "feature": "EXTERNAL_FLANGE", "nominal_mm": 50, "measured_mm": 51.5, "mating_clearance_mm": 2 }, "expected_output": { "part_serial": "CAST-BLK-891", "collision_detected": false, "disposition": "USE_AS_IS", "interference_risk_pct": 75, "engineering_signoff_required": true } }, { "input": { "part_serial": "CAST-BLK-892", "feature": "EXTERNAL_FLANGE", "nominal_mm": 50, "measured_mm": 52.5, "mating_clearance_mm": 2 }, "expected_output": { "part_serial": "CAST-BLK-892", "collision_detected": true, "disposition": "SCRAP", "interference_risk_pct": 100, "engineering_signoff_required": true } } ] ```
Read-only advisory disposition; does not scrap or accept physical parts without human engineer sign-off. Use mock external writes. Require human review before any real deployment.
Participation guide
Read-only advisory disposition; does not scrap or accept physical parts without human engineer sign-off. Use mock external writes and human review.
How work is evaluated
Correctly calculates interference risk percentage from measured dimensions and clearances. Flags detected structural collisions as mandatory scrap dispositions. Validates that disposition outputs follow strict engineering review board schemas.
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 non-conformance records containing dimensional laser scanner bounding box deviations. Inject deviated dimensional measurements into MoveIt geometric shape definitions. Perform collision checking simulations to detect physical interference during automated assembly insertion. Assemble an audit-ready non-conformance dossier indicating collision risks for human engineering sign-off.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Correctly calculates interference risk percentage from measured dimensions and clearances. Flags detected structural collisions as mandatory scrap dispositions. Validates that disposition outputs follow strict engineering review board schemas.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Multi-pane review console showing collision envelopes, defect images, and disposition draft.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Read-only advisory disposition; does not scrap or accept physical parts without human engineer sign-off.
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 non-conformance records containing dimensional laser scanner bounding box deviations.
Inject deviated dimensional measurements into MoveIt geometric shape definitions.
Perform collision checking simulations to detect physical interference during automated assembly insertion.
Assemble an audit-ready non-conformance dossier indicating collision risks for human engineering sign-off.
Reference links and supporting material
Create simplified synthetic app records representing dimensional deviations and mating clearance measurements for robot assembly. 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 non-conformance records containing dimensional laser scanner bounding box deviations. Inject deviate...
- Correctly calculates interference risk percentage from measured dimensions and clearances. Flags detected s...
- Multi-pane review console showing collision envelopes, defect images, and disposition draft.
- 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
No recipe freeze time is recorded.