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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.
RobotCAD is a FreeCAD workbench to generate robot description packages for ROS2 (URDF) with launchers to Gazebo and RViz. Includes controllers based on ros2_controllers and sensors based on Gazebo. With integrated models library and a lot of other tools. In other words CAD → ROS2.
ROS2.0 Foxy and Humble repositories which provide ready-to-use ROS2.0 Gazebo + MoveIt!2 simulation packages for different Industrial and Collaborative Robots.
This repository provides ready-to-use ROS2 (Humble) packages to execute simple programs and sequences and control different Industrial and Collaborative Robots using ROS 2.