25 path-tracking algorithms are (going to be) implemented with python.

A path following differential drive robot controlled using a PID controller and Model Predictive Controller (MPC)

C++ SDL AI Steering Behaviors: Seek, Flee, Arrive, Pursue, Evade, Wander, Path Following, Collision Avoidance and Combining them.

Paper: A review of path following control strategies for autonomous robotic vehicles: theory, simulations, and experiments

A Master of Engineering Academic Project

A lidar-based Teach-and-Repeat framework designed to enable outdoor autonomous navigation in harsh weather.

gaussian process examples

This project uses the video from a small unmanned aerial system to autonomously navigate an unmanned surface vehicle covered in a flotation jacket to reach drowning victims.

An implementation of a full motion and behavior planning pipeline for a self-driving car in the CARLA simulator.

BoundMPC: Cartesian Path Following with Error Bounds based on Model Predictive Control in the Joint Space

python-based examples of path following algorithms

GPS Navigation package. Provides planner and a follow pose for a pure pursuit based controller.

Blazzingly fast, GPU powered, feature complete motion planning and control package for robot navigation.

A Python unmanned aircraft simulator based on the book Small Unmanned Aircraft: Theory and Practice, by Randy Beard and Tim McLain.

Official implementation for the paper “Path Following for Autonomous Mobile Robots with Deep Reinforcement Learning”. A fully Python-based DRL framework for autonomous mobile robot path following on predefined (random) paths.

Autonomous path following (Pure Pursuit/Ramsete) using Quintic Hermite splines and trapezoidal motion profiles.

A fast vehicle dynamics simulator focusing on faithful actuation limits simulation

A Line follower algorithm implemented using Simulink on PARROT Mambo Minidrones as entry to MathWorks Minidrone Competition – EMEA 2021.

Control design to model parking a trailer

A simple FRC path planning tool

Quantitative Engineering Analysis 1 | Spring 2020 | Parametric Path Following

Unmanned Naval Vehicle Graduation Project

TPs de Planejamento de Movimento de Robos

This repository contains code for training a reinforcement learning agent to follow a path using the DDPG algorithm. The agent is trained in a 2D environment where it learns to navigate along a predefined path.

A reactive and predictive path follower that uses quadratic-damped PIDs to model the robot's real braking behavior due to the non-linear effects of friction, providing faster, more accurate, and more responsive control with up to 5× faster deceleration than libraries with coasting-based PIDs.

No description provided.

This Mathematica notebook provides development of a Forward Kinematic model, Inverse Kinematic Model, and Dynamic model using Generalized Momenta method of a Universal Omni Wheeled mobile robot. Also, a PID trajectory tracking controller was developed to track different trajectories with very small error.

FRC robot program that follows a generated path

🤖 Arduino-powered autonomous rover that follows a predefined path using IR sensors for line tracking and motor control for navigation.

No description provided.