A path following differential drive robot controlled using a PID controller and Model Predictive Controller (MPC)
-
Updated
Jan 8, 2025 - Python
A path following differential drive robot controlled using a PID controller and Model Predictive Controller (MPC)
Paper: A review of path following control strategies for autonomous robotic vehicles: theory, simulations, and experiments
An implementation of a full motion and behavior planning pipeline for a self-driving car in the CARLA simulator.
python-based examples of path following algorithms
BoundMPC: Cartesian Path Following with Error Bounds based on Model Predictive Control in the Joint Space
GPS Navigation package. Provides planner and a follow pose for a pure pursuit based controller.
A Python unmanned aircraft simulator based on the book Small Unmanned Aircraft: Theory and Practice, by Randy Beard and Tim McLain.
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 script for transforming FRC Pathweaver output into Java code.
Dataset for benchmarking control algorithms in unstructured environments (e.g., parking lots), focusing on low-speed maneuvering precision. Includes 2D HD maps from Pusan National University (PNU) to evaluate autonomous vehicles/robots in real-world constrained scenarios.
Path Planning Using AStar Algorithm
Add a description, image, and links to the path-following topic page so that developers can more easily learn about it.
To associate your repository with the path-following topic, visit your repo's landing page and select "manage topics."