Jun Saeki

The robotics algorithm library every engineer should know! 📚 PythonRobotics is an open-source collection of Python code and textbook for robotics algorithms, created by Atsushi Sakai. It has 27.2k stars on GitHub and 7k forks, so it's a no brainer to bookmark it! 🔖 The project covers everything from localization (EKF, particle filters, histogram filters) to SLAM (FastSLAM, ICP matching), path planning (A*, RRT*, Dijkstra, D*, potential fields, state lattice), path tracking (Stanley, LQR, MPC), arm navigation, aerial navigation, and even bipedal planning. What makes this special? It's designed to be easy to read and understand, with minimal dependencies and practical, widely-used algorithms. Each algorithm comes with visual animations, mathematical explanations, and working code. The documentation is essentially a full textbook on robotics algorithms, available free online. Requirements are simple: Python 3.13+, NumPy, SciPy, Matplotlib, and cvxpy. That's it. This a learning resource with 2,201 commits, contributions from 138 developers, and active maintenance. The animations alone (stored in a separate repo) are worth studying. If you're learning robotics, building autonomous systems, or teaching algorithms, this is the resource. It's MIT licensed, so you can use it freely in research or commercial projects. Here's the link: github.com/AtsushiSakai/Pyth… P.S. This is what good open-source looks like: educational, practical, well-documented, and community-driven. Bookmark it. 🔖 Thanks for this @Atsushi_twi! 🦾 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com