Development of an autonomous person-following system for a quadruped robot, specifically the Unitree Go1.
Problem
The project addresses the growing need for advanced robotic assistance in various fields:
- Guide dogs for the visually impaired
- Security applications
- Enhanced human-robot interaction
Approach
Integrated cutting-edge object detection, person re-identification, and navigation technologies to create a robust tracking and navigation system.
Hardware:
- Unitree Go1 quadruped robot
- Custom-designed backpack containing:
- Jetson Orin Nano computer
- ZED2i stereo camera
- LiDAR sensor
This setup enables accurate perception and decision-making for autonomous navigation and person tracking.
Video
Team
- Dario Dittli
- Pablo Soler Garcia
- Sam Sulaimanov
Course: Robot Learning, ETHZ, FS2024