Shypd.aiThe largest open index of AI toolsDRL-robot-navigation is an Open Source AI Agents & Automation tool that enables mobile robots to navigate in simulated environments. It uses Deep Reinforcement Learning to avoid obstacles and reach goals.
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DRL-robot-navigation is an open-source project focused on deep reinforcement learning for mobile robot navigation within the ROS Gazebo simulator. It leverages the Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, allowing a robot to learn autonomous navigation to random goal points while effectively avoiding obstacles. Obstacle detection is handled via laser readings, and goals are provided in polar coordinates. The system is trained using PyTorch and has been tested with ROS Noetic on Ubuntu 20.04 with Python 3.8.10. The project also supports running training within a Docker container in headless mode, offering flexibility for developers and researchers.
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