ROS packages for Turtlebot3

AI Manipulator and Open Manipulator

Simulations for TurtleBot3

An example project which contains the Unity components necessary to complete Navigation2's SLAM tutorial with a Turtlebot3, using a custom Unity environment in place of Gazebo.

Software for ROS Embedded board (a.k.a. OpenCR). OpenCR means Open-source Control Module for ROS.

Example repository for autonomous behaviors using TurtleBot robots and behavior trees, as well as Docker workflows in ROS based projects.

Autonomous Clean robot. Full coverage path planner and exploration.

A ROS2-based framework for TurtleBot3 DRL autonomous navigation

ROS package which uses the Navigation Stack to autonomously explore an unknown environment with help of GMAPPING and constructs a map of the explored environment. Finally, a path planning algorithm from the Navigation stack is used in the newly generated map to reach the goal. The Gazebo simulator is used for the simulation of the Turtlebot3 Waffle Pi robot. Various algorithms have been integrated for Autonomously exploring the region and constructing the map with help of the 360-degree Lidar sensor. Different environments can be swapped within launch files to generate a map of the environment.

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

Turtlebot3 3D-SLAM demo using RTAB-Map with Jetson TX2 and ZED Mini

Motion Planning Library to accompany turtlebot3_from_scratch repository. Deployed PRM, Grid Map, A*, Theta*, LPA*, D* Lite*, Potential Field, and MPPI.

TortoiseBot is an extremely learner-friendly and cost-efficient ROS-based Open-sourced Mobile Robot that is capable of doing Teleoperation, Manual as well as Autonomous Mapping, Navigation, Simulation, etc.

Lecture and Reference Material

This is repository for the course ROS2 Autonomous Driving and SLAM using NAV2 with TurtleBot3 on Udemy.

No description available

Autonomous exploration for ROS 2, featuring two algorithms: Wanderer (heuristic-based) and Discoverer (frontier-based, efficient for large maps). Mapping is handled by Google Cartographer (SLAM) and navigation by Nav2. Simulation runs in Gazebo with TurtleBot3 and with a custom CSV-based map generation.

在turtlebot3，pytorch上使用DQN,DDPG,PPO,SAC算法，在gazebo上实现仿真。Use DQN, DDPG, PPO, SAC algorithm on turtlebot3, pytorch on turtlebot3, pytorch, and realize simulation on gazebo. Use DQN, DDPG, PPO, SAC algorithm to realize simulation on gazebo.

Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay

Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.

A ROS 2 package providing an easy-to-extend framework for and library of swarm behaviors.

Benchmarking Platform for Classic and Learned Path Planning Algorithms.

Autonomous Driving with TurtleBot3

Applications for TurtleBot3

A platform for executing RRT exploration in ROS Noetic and Ubuntu 20.04LTS

This project demonstrates the simulation of ROS Turtlebot3 path tracking with PID. I have generalized the pid controller to track circular or linear trajectories; Please check the video till end.

OpenManipulator with TurtleBot3 packages

Autonomous delivery robot with turtlebot3 and Jetson TX2

ROS msgs package for TurtleBot3

multi-turtlebot3 collision avoidance and navigation via DDPG-LSTM with Prioritized Experience Replay on ROS