The existing obstacle avoidance algorithm can be regarded as a local trajectory planning problem, which cannot directly adapt to co-transporting tasks in real-time. Considering the specific task if ...

Multi-sensor information fusion technology has very extensive application prospect in robot obstacle avoidance. To solve the problems of robot obstacle avoidance and path scheduling for mobile robots, ...

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 ...

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 ...