In this paper, a real-time obstacle avoidance approach and a trajectory planning method are proposed to avoid collisions to move an object jointly by a human and an omnidirectional mobile robot.

Human-machine shared control has been verified to be an effective method for brain-controlled robot. This paper proposes a shared control system for wheeled robots, which converts the EEG signals ...

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal ...