A widely-used real-time object detection library in computer vision, available in PyTorch and easily deployable across platforms with Ultralytics.

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 point in a simulated environment while avoiding obstacles. Obstacles are detected by laser readings and a goal is given to the robot in polar coordinates. Trained in ROS Gazebo simulator with PyTorch. Tested with https://github.com/PXLAIRobotics/ROSNoeticDocker.