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Challenge

Build a Predictive Robot Tooling Cycle and Spares Provisioning Planner

Aggregate robot tool cycle counts and trajectory execution data from MoveIt simulation logs. Plan predictive maintenance visits and generate tooling spare parts pull manifests based on cumulative usage thresholds.

EngineeringHosted by Vera
Challenge brief

What you are building

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

Aggregate robot tool cycle counts and trajectory execution data from MoveIt simulation logs. Plan predictive maintenance visits and generate tooling spare parts pull manifests based on cumulative usage thresholds.

Robotics Maintenance Lead

Parse simulated MoveIt joint trajectory execution logs and extract tool cycle counters.

Calculate cumulative operational cycles and compare against manufacturer usage limit thresholds.

Correlate approaching end-of-life cycle limits with warehouse tooling stock levels.

Construct an advisory maintenance visit plan and tooling kit requisition order for approval.

Asset health dashboard with cycle progression meters and one-click spare part kit draft reservation.

Generate synthetic JSON records representing robot trajectory execution histories and tooling usage parameters. Store in a local repository directory. Starter examples below are synthetic. They are not downloaded records.

MoveIt robotics MoveIt trajectory planning execution logs, cycle metrics, and manipulator data limits cited in Source 1.

anthropic-claude, pydantic, fastapi. Anthropic Claude provides reasoning to reconcile trajectory cycle counts against maintenance manuals and stock levels. Hosted Claude API for structured analysis of execution logs and spare parts reconciliation.

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.

Computes residual tool service life cycles based on simulated trajectory cycles.

Identifies impending tooling cycle limits before emergency line stops occur.

Produces valid spare parts draft reservation bills matching tooling revision codes.

```json [ { "input": { "robot_id": "CELL_ROBOT_3", "tool_id": "GRIPPER_PNEUMATIC_V2", "cycles_completed": 98500, "rated_max_cycles": 100000, "average_cycles_per_hour": 50, "inventory_records": [ { "part_sku": "SEAL_KIT_GP2", "in_stock": 3 } ], "note": "These are simplified synthetic app records, not complete official schema files." }, "expected_output": { "remaining_cycles": 1500, "estimated_hours_remaining": 30, "replacement_urgency": "CRITICAL", "allocated_parts": [ { "part_sku": "SEAL_KIT_GP2", "quantity": 1 } ], "action_plan": "Schedule seal overhaul on CELL_ROBOT_3 during next planned shift break." } }, { "input": { "robot_id": "CELL_ROBOT_4", "tool_id": "WELDER_TORCH_01", "cycles_completed": 12000, "rated_max_cycles": 80000, "average_cycles_per_hour": 100, "inventory_records": [ { "part_sku": "TIP_NOZZLE_W1", "in_stock": 10 } ], "note": "These are simplified synthetic app records, not complete official schema files." }, "expected_output": { "remaining_cycles": 68000, "estimated_hours_remaining": 680, "replacement_urgency": "NOMINAL", "allocated_parts": [], "action_plan": "Maintain routine visual inspection; replacement not required." } } ] ```

Maintenance planning advisory only. Requisitions are created in draft state for plant supervisor approval. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Maintenance planning advisory only. Requisitions are created in draft state for plant supervisor approval. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Computes residual tool service life cycles based on simulated trajectory cycles. Identifies impending tooling cycle limits before emergency line stops occur. Produces valid spare parts draft reservation bills matching tooling revision codes.

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 simulated MoveIt joint trajectory execution logs and extract tool cycle counters. Calculate cumulative operational cycles and compare against manufacturer usage limit thresholds. Correlate approaching end-of-life cycle limits with warehouse tooling stock levels. Construct an advisory maintenance visit plan and tooling kit requisition order for approval.

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

Computes residual tool service life cycles based on simulated trajectory cycles. Identifies impending tooling cycle limits before emergency line stops occur. Produces valid spare parts draft reservation bills matching tooling revision codes.

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

Asset health dashboard with cycle progression meters and one-click spare part kit draft reservation.

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

Maintenance planning advisory only. Requisitions are created in draft state for plant supervisor approval.

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 simulated MoveIt joint trajectory execution logs and extract tool cycle counters.

  • Calculate cumulative operational cycles and compare against manufacturer usage limit thresholds.

  • Correlate approaching end-of-life cycle limits with warehouse tooling stock levels.

  • Construct an advisory maintenance visit plan and tooling kit requisition order for approval.

Resources and assets

Reference links and supporting material

Dataset notes

Generate synthetic JSON records representing robot trajectory execution histories and tooling usage parameters. Store 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.

Anthropic Claude

LLM for code generation & more

Evaluated output

No output checks are configured.

Evaluation checks
  • Parse simulated MoveIt joint trajectory execution logs and extract tool cycle counters. Calculate cumulativ...
  • Computes residual tool service life cycles based on simulated trajectory cycles. Identifies impending tooli...
  • Asset health dashboard with cycle progression meters and one-click spare part kit draft reservation.
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 Predictive Robot Tooling Cycle and Spares Provisioning Planner