PythonRobotics
- Software
- Navigation and mapping
- Library
A Python code collection and textbook of robotics algorithms, covering localization, mapping, SLAM, path planning, path tracking, arm and aerial navigation, and bipedal control.
Source on GitHub: github.com/AtsushiSakai/PythonRobotics (opens in a new tab). Facts read at commit cdd0cc8 (opens in a new tab).
Licenses
- Code
- MIT (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (MIT) at commit cdd0cc8 (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
What it does
- Readable Python implementations of widely used robotics algorithms, each with a short explanation of its core idea.
- Covers localization filters, grid and lidar mapping, SLAM such as ICP and FastSLAM, and many path planners.
- Includes path tracking controllers such as Stanley, LQR and model predictive control.
- Also has simulations for arm navigation, quadrotor trajectory following, rocket landing and bipedal footstep planning.
- Accompanied by an online textbook and an arXiv paper describing the project.
Written by Robotheca from the project's README (opens in a new tab) at commit cdd0cc8.
Getting started
- Difficulty
- Beginner
- Hardware it needs, as the project states it
- Python 3.13.x with NumPy, SciPy, Matplotlib and cvxpy; no special hardware is stated.
- How to start
- The project's website (opens in a new tab)
Maintenance
- Status
- Active: a commit in the last 90 days
- Newest commit
- 5 Oct 2026 on master
- Latest release
- None published on GitHub
Checked on GitHub on 16 Oct 2026.
Links
Robots on Robotheca that use it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.