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AtsushiSakai/PythonRobotics

Repository: AtsushiSakai/PythonRobotics Stars: 30309 Forks: 7384 Primary language: Python Discovery sources: awesome:awesome-python, awesome:awesome-robotics, best:topic:robotics archived:false fork:false pushed:>=2025-01-01 Selection score: 82.87 Usefulness score: 9.7 Source confidence score: 5.9 Languages: Python, Shell Topics: algorithm, animation, autonomous-driving, autonomous-navigation, autonomous-vehicles, control, cvxpy, ekf, hacktoberfest, localization Summary: Python sample codes and textbook for robotics algorithms. README excerpt: <img src="https://github.com/AtsushiSakai/PythonRobotics/raw/master/icon.png?raw=true" align="right" width="300" alt="header pic"/> # PythonRobotics ![GitHub_Action_Linux_CI](https://github.com/AtsushiSakai/PythonRobotics/workflows/Linux_CI/badge.svg) ![GitHub_Action_MacOS_CI](https://github.com/AtsushiSakai/PythonRobotics/workflows/MacOS_CI/badge.svg) ![GitHub_Action_Windows_CI](https://github.com/AtsushiSakai/PythonRobotics/workflows/Windows_CI/badge.svg) [![Build status](https://ci.appveyor.com/api/projects/status/sb279kxuv1be391g?svg=true)](https://ci.appveyor.com/project/AtsushiSakai/pythonrobotics) Python codes and [textbook](https://atsushisakai.github.io/PythonRobotics/index.html) for robotics algorithm. # Table of Contents * [What is this?](#what-is-this) * [Requirements](#requirements) * [Documentation](#documentation) * [How to use](#how-to-use) * [Localization](#localization) * [Extended Kalman Filter localization](#extended-kalman-filter-localization) * [Particle filter localization](#particle-filter-localization) * [Histogram filter localization](#histogram-filter-localization) * [Mapping](#mapping) * [Gaussian grid map](#gaussian-grid-map) * [Ray casting grid map](#ray-casting-grid-map) * [Lidar to grid map](#lidar-to-grid-map) * [k-means object clustering](#k-means-object-clustering) * [Rectangle fitting](#rectangle-fitting) * [SLAM](#slam) * [Iterative Closest Point (ICP) Matching](#iterative-closest-point-icp-matching) * [FastSLAM 1.0](#fastslam-10) * [Path Planning](#path-planning) * [Dynamic Window Approach](#dynamic-window-approach) * [Grid based search

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