World Robot Summit 2023 @IFAC

This project developed an autonomous service robot for convenience-store tasks at World Robot Summit @IFAC 2023. Our team placed third in the Customer Interaction Task.

Using a Seed R7 mobile service robot, we integrated self-payment assistance and the return of cancelled products to their shelves. A Kinect camera supported object recognition and grasp-position estimation, while an additional camera monitored the customer queue. LiDAR-based SLAM supported navigation and obstacle avoidance, with ROS connecting the subsystems.

This project’s repository is here

Contribution:

1. Led the programming team.
2. Integrated manipulation, perception, SLAM, and navigation into an autonomous task workflow.
3. Debugged and optimized the complete robotic system.

Skills: Python, ROS, MoveIt, PyTorch, SLAM, Computer Vision, Git.