Abstract: In this study, to address the issues faced by mobile robots in complex environments, such as sparse rewards caused by limited effective experience, slow learning efficiency in the early ...

Abstract: This paper presents the teleoperation of the mobile robot TurtleBot3 Burger in an environment with obstacles, a Sliding Mode Controller (SMC) and a Lyapunov controller are implemented for ...

This project is built as part of our master thesis, and aims to discover the theisability of controlling a drone using Reinforcement Learning. The main task of the drone is to map an entire unkown ...

A ROS-based implementation for distributed multi-robot path planning using Artificial Potential Fields (APF) for real-time navigation and obstacle avoidance. Features adaptive and multi-robot ...