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Python sample codes and textbook for robotics algorithms.
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Today
+8 stars today
This week
+56 stars this week
This month
+209 stars this month
Momentum
88.0
growth rate 0.18%/day
<img src="https://github.com/AtsushiSakai/PythonRobotics/raw/master/icon.png?raw=true" align="right" width="300" alt="header pic"/>
# PythonRobotics



[](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](#grid-based-search)
* [Dijkstra algorithm](#dijkstra-algorithm)
* [A* algorithm](#a-algorithm)
* [D* algorithm](#d-algorithm)
* [D* Lite algorithm](#d-lite-algorithm)
* [Potential Field algorithm](#potential-field-algorithm)
* [Grid based coverage path planning](#grid-based-coverage-path-planning)
* [Particle Swarm Optimization (PSO)](#particle-swarm-optimization-pso)
* [State Lattice Planning](#state-lattice-planning)
* [Biased polar sampling](#biased-polar-sampling)
* [Lane sampling](#lane-sampling)
* [Probabilistic Road-Map (PRM) planning](#probabilistic-road-map-prm-planning)
* [Rapidly-Exploring Random Trees (RRT)](#rapidly-exploring-random-trees-rrt)
* [RRT*](#rrt)
* [RRT* with reeds-shepp path](#rrt-with-reeds-shepp-path)
* [LQR-RRT*](#lqr-rrt)
* [Quintic polynomials planning](#quintic-polynomials-planning)
* [Reeds Shepp planning](#reeds-shepp-planning)
* [LQR based path planning](#lqr-based-path-planning)
* [Optimal Trajectory in a Frenet Frame](#optimal-trajectory-in-a-frenet-frame)
* [Path Tracking](#path-tracking)
* [move to a pose control](#move-to-a-pose-control)
* [Stanley control](#stanley-control)
* [Rear wheel feedback control](#rear-wheel-feedback-control)
* [Linear–quadratic regulator (LQR) speed and steering control](#linearquadratic-regulator-lqr-speed-and-steering-control)
* [Model predictive speed and steering control](#model-predictive-speed-and-steering-control)
* [Nonlinear Model predictive control with C-GMRES](#nonlinear-model-predictive-control-with-c-gmres)
* [Arm Navigation](#arm-navigation)
* [N joint arm to point control](#n-joint-arm-to-point-control)
* [Arm navigation with obstacle avoidance](#arm-navigation-with-obstacle-avoidance)
* [Aerial Navigation](#aerial-navigation)
* [drone 3d trajectory following](#drone-3d-trajectory-following)
* [rocket powered landing](#rocket-powered-landing)
* [Bipedal](#bipedal)
* [bipedal planner with inverted pendulum](#bipedal-planner-with-inverted-pendulum)
* [License](#license)
* [Use-case](#use-case)
* [Contribution](#contribution)
* [Citing](#citExcerpt of 24,612 characters
Read on GitHubAtsushi Sakai · Japan
1.4k
420
Guillaume Jacquenot · France
47
Erwin L. · @tiiuae · United Arab Emirates
27
Göktuğ Karakaşlı · @idealworks · Germany
23
Takayuki Murooka · @tier4 · Japan
22
Daniel Ingram · Intuitive Surgical
21
Andrew Tu · Morocco
13
Chachay · Japan
7
Aglargil · China
7
Antonin RAFFIN · @DLR-RM · Germany
7
7
Joe Dinius, Ph.D. · United States
6
Jonathan Schwartz · Anduril Industries, ex-Nimble · Morocco
6
Ernő Horváth · Szechenyi University · Hungary
5
Hajdu Csaba · Hungary
5
Yilun Chen
4
Yo Iida
4
Trung Kien
4
Francisco Moretti · Alaro AI · United Kingdom
4
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5f7f64e961652899, topic:robotics, topic:autonomous-driving, topic:slam