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motion-planning

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Educational, browser-based motion-planning code.

Education & Research#PID#path planning#RRT#MPC#A*#trajectory optimization#motion planning
Authorkhanaleema
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Generates production-quality Python code for robot motion planning algorithms that run in Pyodide (browser). Provides educational, implementation-focused examples of path planning (A*, RRT), trajectory optimization, and control strategies (PID, MPC) with emphasis on visualization and teaching clarity.

Core Features & Use Cases

  • Path Planning Demos: Implement A*, RRT, and Dijkstra in browser-ready Python for interactive learning.
  • Trajectory Optimization: Demonstrate minimum-jerk and time-optimal trajectories.
  • Control Algorithms: Provide PID, MPC, and LQR examples for simulated robots.
  • Whole-Body Control Visualization: Explain task-space and null-space concepts with visualizations.
  • Educational Focus: Show-your-work style code with educational comments and plots.

Quick Start

Activate with prompts like:

  • "Create path planning code in the browser"
  • "Generate A* example for browser-based learning"
  • "Build PID controller for a simulated robot"

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: motion-planning
Download link: https://github.com/khanaleema/PhysicalAI-Book/archive/main.zip#motion-planning

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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