It is challenging for a mobile robot to avoid moving obstacles in dynamic environments. Traditional velocity obstacle methods do not fully consider the obstacles moving with the speeds larger than the ...

Obstacle-Avoidance-Arduino-Robot Robots are tools that can ease the burden on humans. Robots can be controlled by humans directly, but actually robots can also make their own decisions if given an ...

A robot obstacle avoidance approach is proposed in this paper, which combines 2D LiDAR data with images from the RGB camera attached to the mobile robot. With accurate information of distance to ...

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 ...