ROS packages for Turtlebot3

AI Manipulator and Open Manipulator

Simulations for TurtleBot3

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.

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

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.

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.

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

OpenManipulator with TurtleBot3 packages

ROS msgs package for TurtleBot3

2019 DGIST DPoom project under UGRP : SBC and RGB-D camera based full autonomous driving system for mobile robot with indoor SLAM

Machine learning based line following using TurtleBot3 with ROS2 Jazzy and Gazebo Harmonic

A platform for executing RRT exploration in ROS Melodic and Ubuntu 18.04LTS

Autonomous Exploration, Mapping and Path-Planning using Octomap

Pytorch implementations of the multi-agent reinforcement learning algorithms, including QMIX, VDN, COMA, MADDPG, MATD3, FACMAC and MASoftQ for path planning of swarm of mobile robots.

Multi-robot collaborative exploration and mapping through Voronoi partition and DRL in unknown environment

Package for Path Planning and Tracking created using ROS2, Turtlebot3, A*, and PurePursuit

[ROS2 humble] Custom gazebo package

Autonomy: Science and Systems @ CU-ICAR

Feature-based EKF-SLAM on Turtlebot3 with landmark detection

This project is mainly about testing different path planning techniques in a certain world full of obstacles and how turtlebot3 managed to get to the goal position. It tackles 3 path planning technquies which are ( Artificial potential field (APF), Breadth first search (BFS), A*).