Lessons Learnt from the Development of Remotely Accessible ROS 2 Learning Environment
摘要
This short paper discusses the challenges and solutions related to teaching ROS 2 in an educational setting. We present “RoboEdu,” a remotely accessible, containerized ROS 2 learning platform that runs on a virtualized Lin1028ux server with GPU acceleration. RoboEdu allows students to access a fully c0 nfigured ROS 2 environment via a web browser, eliminating the need for complex local installations. It uses Docker containers, noVNC for remote access, and supports simulations in Gazebo and rviz, demonstrating the potential of cloud-based solutions in robotics education.