agentsclimarketplace
Sign in

Motion planning

Skill a5c-ai/babysitter/library/specializations/robotics-simulation/skills/motion-planning

Sampling-based and optimization-based motion planning algorithmsFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill motion-planning

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.7 KB, 267 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it: 1 file

657 B alongside SKILL.md

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.