The evolution of the Line Following Robot starts with an analog design and advances to a refined version incorporating an Arduino Nano microcontroller and an ultrasonic sensor for obstacle avoidance.

In this study, we designed an obstacle avoidance algorithm for a quadrotor unmanned aerial vehicle (UAV) equipped with a wide field-of-view (FOV) stereo camera, utilizing a learning-based depth ...

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 ...