Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.
-
Updated
Jul 16, 2021 - Python
Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.
Implementation of Particle filter algorithm for mobile robot localization (turtlebot3_burger) in ROS.
ROS2 foxy package to make a turtlebot3 burger with a camera plugged in to follow a beacon, which in this case is a QR code.
Implementation of a reactive wall-following behaviour for Turtlebot in the Webots simulator.
EKF-SLAM and UKF-SLAM on Turtlebot3
A simple and general purpose software interface to control a TurtleBot3 using Matlab
Using the turtlebot3 environment we developed in ROS a robot able to sanitize chosen rooms from COVID-19.
Follower algorithm for TurtleBot3 using only 2D LIDAR. The algorithm can be run on N robots, achieving a chain of robot followers. No computer vision or anything similar is used in the algorithm.
Sumilation of turtlebot3 burger avoiding obstacles in a closed environment.
Skillset manager for a Turtlebot3 robot.
TurtleBot3室内SLAM+导航+跟踪
Add a description, image, and links to the turtlebot3-burger topic page so that developers can more easily learn about it.
To associate your repository with the turtlebot3-burger topic, visit your repo's landing page and select "manage topics."