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.

Trajectory tracking for a differential drive robot is accomplished using Laguerre-based model predictive control. This paper emphasizes obstacle avoidance for the same robot using model predictive ...

An Arduino-based Obstacle Detection System using ultrasonic sensor, LCD, IR remote, EEPROM, LDR, and warning LEDs. Developed as the final project of a Udemy course on embedded systems.

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 ...