Project 8: Migration and Enhancement of βMachine Visionβ Exercise to ROS2 + MoveIt2 in Robotics Academy
This project focused on migrating the Machine Vision exercise from the legacy Robotics Academy (ROS1 + MoveIt1) to the modern ROS2 + MoveIt2 ecosystem.
The result is a robust, modular, and student-friendly exercise aligned with current ROS2 best practices, providing both educational clarity and technical longevity.
- ROS2 Migration
- Ported the simulation environment and robot description to ROS2 standards.
- Perception Pipeline
- Updated color and shape filters with improved PCL (Point Cloud Library) integration.
- API & HAL Development
- Designed a modernized Python API and Hardware Abstraction Layer (HAL) for seamless student interaction.
- Web-Based Exercise
- Integrated the exercise into the Robotics Academy web platform with interactive UI.
- Documentation
- Authored detailed documentation for maintainers and students, including setup, usage, and extension guides.
- A ROS2-compatible exercise that is easy to maintain and extend.
- Clear modularization for student experimentation with perception, planning, and control.
- A solid foundation for future exercises in Robotics Academy.
- Code Repository: IndustrialRobots Package
- Final Demo: YouTube Video
- Project Blog: GSoC 2025 Blog β Shu Xiao
- Final Report: GSoC 2025 Final Report β Shu Xiao
Shu Xiao
Google Summer of Code 2025 Contributor
Project under JdeRobot