ReddRadar
Agent skill
Motion Planning Skill
Sampling-based and optimization-based motion planning algorithms
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/robotics-simulation/skills/motion-planning
SKILL.md
Motion Planning Skill
Overview
Expert skill for implementing and configuring motion planning algorithms, including sampling-based planners (OMPL) and optimization-based trajectory planners.
Capabilities
- Configure OMPL planners (RRT, RRT*, RRT-Connect, PRM, FMT*)
- Implement hybrid A* for car-like robots
- Set up lattice-based planners
- Configure trajectory optimization (TrajOpt, CHOMP, STOMP)
- Implement time-optimal trajectory planning
- Set up path smoothing algorithms
- Configure state space and validity checking
- Implement kinodynamic planning
- Set up multi-query planning with roadmaps
- Configure asymptotically optimal planners
Target Processes
- path-planning-algorithm.js
- trajectory-optimization.js
- moveit-manipulation-planning.js
- nav2-navigation-setup.js
Dependencies
- OMPL (Open Motion Planning Library)
- MoveIt
- TrajOpt
- FCL (Flexible Collision Library)
Usage Context
This skill is invoked when processes require path planning algorithm selection, trajectory optimization, or custom motion planning solutions.
Output Artifacts
- OMPL planner configurations
- State space definitions
- Validity checker implementations
- Trajectory optimization setups
- Path smoothing configurations
- Planning benchmark results
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