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Challenge

Build a Robot-Cell Safety Interlock and Zone Breach Reviewer

Correlate safety light curtain interruptions and robot joint state data against MoveIt planning scene models. Classify transient zone breaches to formulate targeted physical guard improvements.

EngineeringHosted by Vera
Challenge brief

What you are building

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

Correlate safety light curtain interruptions and robot joint state data against MoveIt planning scene models. Classify transient zone breaches to formulate targeted physical guard improvements.

Industrial Safety and Ergonomics Specialist

Ingest safety PLC trip events and robot Cartesian trajectory records from MoveIt simulation logs.

Correlate trip timestamps with robot cell operational phases such as loading, welding, or unloading.

Distinguish between nuisance operator boundary interruptions and critical collaborative zone faults.

Generate cell safety audit dossiers with proposed safety laser scanner mute zone adjustments.

Safety incident triage portal featuring event replay chronologies and zone trip heatmaps.

Generate synthetic event logs pairing MoveIt joint trajectory points with simulated safety relay status transitions. Starter examples below are synthetic. They are not downloaded records.

MoveIt robotics Incorporates MoveIt robotics planning scenes and geometric collision bounds to evaluate spatial safety breaches.

anthropic-claude, pydantic, pytest. Hosted Claude provides advanced contextual reasoning over complex multi-variable temporal safety incident logs. Requires hosted Claude API for structured analysis and safety report synthesis.

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.

Correlates safety trip occurrences with corresponding MoveIt trajectory phase data.

Categorizes each breach into valid safety classifications according to risk criteria.

Produces actionable recommendations for protective field zone tuning.

Flags safety log entries that lack matching motion timestamps.

```json [ { "input": { "incident_id": "SAFE-2025-041", "cell_id": "WELD-CELL-02", "trip_channel": "LIGHT_CURTAIN_ZONE_1", "robot_state": { "phase": "PART_TRANSFER", "velocity_mps": 0.4, "distance_to_curtain_m": 0.15 }, "operator_tag_present": true }, "expected_output": { "incident_id": "SAFE-2025-041", "classification": "HUMAN_OPERATOR_EARLY_ENTRY", "severity": "MEDIUM", "root_cause": "Operator reached into zone before robot reached rest posture", "remedial_action": "Extend interlock delay timer by 500ms or adjust entry guard geometry" } }, { "input": { "incident_id": "SAFE-2025-042", "cell_id": "WELD-CELL-02", "trip_channel": "LIGHT_CURTAIN_ZONE_2", "robot_state": null, "operator_tag_present": false }, "expected_output": { "incident_id": "SAFE-2025-042", "classification": "TELEMETRY_UNALIGNED_TRIP", "severity": "HIGH", "root_cause": "Safety channel tripped without corresponding robot trajectory data", "remedial_action": "Audit optical alignment and sensor signal cabling" } } ] ```

Maintains passive analysis and post-incident review; never configures live safety PLCs or safety relays. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Maintains passive analysis and post-incident review; never configures live safety PLCs or safety relays. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Correlates safety trip occurrences with corresponding MoveIt trajectory phase data. Categorizes each breach into valid safety classifications according to risk criteria. Produces actionable recommendations for protective field zone tuning. Flags safety log entries that lack matching motion timestamps.

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 safety PLC trip events and robot Cartesian trajectory records from MoveIt simulation logs. Correlate trip timestamps with robot cell operational phases such as loading, welding, or unloading. Distinguish between nuisance operator boundary interruptions and critical collaborative zone faults. Generate cell safety audit dossiers with proposed safety laser scanner mute zone adjustments.

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

Correlates safety trip occurrences with corresponding MoveIt trajectory phase data. Categorizes each breach into valid safety classifications according to risk criteria. Produces actionable recommendations for protective field zone tuning. Flags safety log entries that lack matching motion timestamps.

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

Safety incident triage portal featuring event replay chronologies and zone trip heatmaps.

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 passive analysis and post-incident review; never configures live safety PLCs or safety relays.

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 safety PLC trip events and robot Cartesian trajectory records from MoveIt simulation logs.

  • Correlate trip timestamps with robot cell operational phases such as loading, welding, or unloading.

  • Distinguish between nuisance operator boundary interruptions and critical collaborative zone faults.

  • Generate cell safety audit dossiers with proposed safety laser scanner mute zone adjustments.

Resources and assets

Reference links and supporting material

Dataset notes

Generate synthetic event logs pairing MoveIt joint trajectory points with simulated safety relay status transitions. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Anthropic Claude

LLM for code generation & more

Evaluated output

No output checks are configured.

Evaluation checks
  • Ingest safety PLC trip events and robot Cartesian trajectory records from MoveIt simulation logs. Correlate...
  • Correlates safety trip occurrences with corresponding MoveIt trajectory phase data. Categorizes each breach...
  • Safety incident triage portal featuring event replay chronologies and zone trip heatmaps.
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
  • Anthropic Claude · 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 Safety Interlock and Zone Breach Reviewer