Motion planning algorithms commonly used on autonomous vehicles. (path planning path tracking)
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Updated
Jan 13, 2024 - Python
Motion planning algorithms commonly used on autonomous vehicles. (path planning path tracking)
Header-only C library for robotics, control, and path planning algorithms. Work in progress, contributions are welcome!
在ros_gazebo中搭建仿真环境,使用purepursuit算法对样条曲线轨迹进行了路径跟踪、使用lqr算法对生成的五次多项式轨迹进行横向路径跟踪。
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
25 path-tracking algorithms are (goint to be) implemented with python.
Differential Dynamic Programming controller operating in OpenAI Gym environment.
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Iterative LQG for a couple of MuJoCo models
Master's Thesis Project: Design, Development, Modelling and Simulating of a Y6 Multi-Rotor UAV, Imlementing Control Schemes such as Proportional Integral Derivative Control, Linear Quadratic Gaussian Control and Model Predictive Control on a BeagleBone Blue
LQR-RRT* method is used for random motion planning of a simple pendulum in it's phase plot
A toolbox for trajectory optimization of dynamical systems
This repository contains different aspects of autonomous mobile robots including motion, control, and estimation. PID, LQR, and MPC controllers for differential drive robot are developed with ROS2. In addition, some filters are covered such as particle filter and ekf for localization.
Repository of implementation of few algorithms for Underactuated Systems in Robotics and solutions to some interesting problems
Modelling and control of a railway vehicle active suspension system to improve the reduction in vibrations in the vehicle.
This project aims to design a LQR controller to control a car following a trajectory as accurate and fast as possible
⚙️ Controls.js is a sandbox showcasing a few modern controls techiques directly in the browser
LQR controller for quadrotors
Various Control Barrier Functions realized on cartpole.
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