A ROS2-based framework for TurtleBot3 DRL autonomous navigation

ROS Robotic Deep Learning

Deep Reinforcement Learning Based Mobile Robot Navigation Using ROS2 and Gazebo

TD3-based Deep Reinforcement learning-based collision avoidance of mobile robots in ROS2.

An end-to-end (E2E) reinforcement learning model for autonomous vehicle collision avoidance in the CARLA simulator, using a recurrent PPO algorithm for dynamic control. The model processes RGB came…

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 g…

Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.

基于树莓派的智能小车，用摄像头实现识别道路中的车道线识别、行人检测与车辆检测，都是基于传统的方法，关键字：级联分类器、HOG+SVM、行人检测