AtsushiSakai/PythonRobotics resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

30385 stars · 7395 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A collection of Python sample code and an accompanying online textbook implementing robotics algorithms such as localization, mapping, SLAM, path planning, and path tracking. It serves as an educational reference with animated visualizations of each algorithm.

Use cases

• learn robotics algorithms like SLAM and path planning
• find reference implementations of A*, RRT, or Dijkstra for robots
• understand extended Kalman filter localization with example code
• study path tracking controllers like Stanley or pure pursuit
• prototype autonomous driving trajectory planning algorithms
• teach a robotics course with runnable Python examples

When to choose

• you want clear, visual, educational implementations of classic robotics algorithms
• you need reference code to compare against your own robotics implementation
• you are a student or researcher learning localization, SLAM, or planning

When to avoid

• you need production-ready, performance-optimized robotics middleware
• you want a supported library with stable APIs rather than demo scripts
• you need hardware drivers or ROS integration out of the box

Facets

learning-resource · maturity active

simulation machine-learning math data-visualization robotics autonomous-vehicles education simulation python cross-platform path-planning slam localization control ekf textbook sample-code autonomous-driving algorithms

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markdown · JSON · MCP: product_card(name="AtsushiSakai/PythonRobotics")