Build a Robot-Cell Payload Inertia Validation Engine
Inspect dynamic payload weight and inertia matrix estimates against MoveIt robot kinematic limits. Flag parameter drift and synthesize joint torque limit adjustments to ensure mechanical safety before initiating high-speed production runs.
What you are building
The core problem, expected build, and operating context for this challenge.
Inspect dynamic payload weight and inertia matrix estimates against MoveIt robot kinematic limits. Flag parameter drift and synthesize joint torque limit adjustments to ensure mechanical safety before initiating high-speed production runs.
Robotics Calibration Engineer
Ingest estimated 6-DOF payload inertia matrices, payload mass, and center of mass offsets.
Calculate expected joint torques during maximum acceleration using MoveIt dynamic models.
Determine whether required joint torques exceed actuator limits based on payload configurations.
Synthesize validated payload parameters and generate a dynamic safety sign-off sheet for controllers.
Dynamic payload viewer displaying center of mass offsets, joint torque utilization charts, and sign-off forms.
Simulated dynamic payload parameter JSON records (simplified synthetic app records, not complete official schema files). Starter examples below are synthetic. They are not downloaded records.
MoveIt robotics MoveIt dynamics and kinematic limits from moveit_core to evaluate joint limits.
ray-serve, pydantic, numpy. Serves high-throughput joint torque calculations across multi-robot production lines via scalable endpoints. Local model for fast mathematical validation or hosted LLM for generating dynamic sign-off certificates.
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 expected maximum joint torque exactly as (payload_mass_kg * peak_acceleration_rad_s2 * com_offset_x_m).
Rejects payload configurations where computed max torque strictly exceeds max_torque_limit_nm.
Outputs validated payload status and required torque constraints for the safety review team.
```json [ { "input": { "robot_id": "ROBOT-PALLET-01", "payload_mass_kg": 25, "com_offset_x_m": 0.1, "peak_acceleration_rad_s2": 15, "max_torque_limit_nm": 50 }, "expected_output": { "max_torque_required_nm": 37.5, "within_limits": true, "status": "DYNAMICS_ACCEPTED" } }, { "input": { "robot_id": "ROBOT-PALLET-01", "payload_mass_kg": 45, "com_offset_x_m": 0.3, "peak_acceleration_rad_s2": 15, "max_torque_limit_nm": 150 }, "expected_output": { "max_torque_required_nm": 202.5, "within_limits": false, "status": "EXCEEDS_TORQUE_LIMITS" } } ] ```
Read-only dynamics evaluation; torque configurations are reviewed and manually confirmed before writing to hardware. Use mock external writes. Require human review before any real deployment.
Participation guide
Read-only dynamics evaluation; torque configurations are reviewed and manually confirmed before writing to hardware. Use mock external writes and human review.
How work is evaluated
Computes expected maximum joint torque exactly as (payload_mass_kg * peak_acceleration_rad_s2 * com_offset_x_m). Rejects payload configurations where computed max torque strictly exceeds max_torque_limit_nm. Outputs validated payload status and required torque constraints for the safety review team.
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 estimated 6-DOF payload inertia matrices, payload mass, and center of mass offsets. Calculate expected joint torques during maximum acceleration using MoveIt dynamic models. Determine whether required joint torques exceed actuator limits based on payload configurations. Synthesize validated payload parameters and generate a dynamic safety sign-off sheet for controllers.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Computes expected maximum joint torque exactly as (payload_mass_kg * peak_acceleration_rad_s2 * com_offset_x_m). Rejects payload configurations where computed max torque strictly exceeds max_torque_limit_nm. Outputs validated payload status and required torque constraints for the safety review team.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Dynamic payload viewer displaying center of mass offsets, joint torque utilization charts, and sign-off forms.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Read-only dynamics evaluation; torque configurations are reviewed and manually confirmed before writing to hardware.
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 estimated 6-DOF payload inertia matrices, payload mass, and center of mass offsets.
Calculate expected joint torques during maximum acceleration using MoveIt dynamic models.
Determine whether required joint torques exceed actuator limits based on payload configurations.
Synthesize validated payload parameters and generate a dynamic safety sign-off sheet for controllers.
Reference links and supporting material
Simulated dynamic payload parameter JSON records (simplified synthetic app records, not complete official schema files). Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
Ray Serve
Action Space in the agent workflow.
Evaluated output
No output checks are configured.
- Ingest estimated 6-DOF payload inertia matrices, payload mass, and center of mass offsets. Calculate expect...
- Computes expected maximum joint torque exactly as (payload_mass_kg * peak_acceleration_rad_s2 * com_offset_...
- Dynamic payload viewer displaying center of mass offsets, joint torque utilization charts, and sign-off forms.
- 2 public reference cases
- 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
- Ray Serve · 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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