This Physical AI project studies remote robotic control as a network-aware physical system. In the UHM Vertically Integrated Project (VIP) setting, students use a smart robot car, a steering console, live sensing feedback, and the WINGS O-RAN/AI-RAN testbed to explore how wireless network behavior affects embodied AI and real-time control.
Project Focus
- O-RAN-assisted remote robot driving and physical-system control
- Sensing feedback through RGB, IR, depth, and AI-assisted perception views
- Network-aware control loops that connect RAN telemetry with robotic behavior
- Hands-on Physical AI research through the UHM VIP project structure
Infrastructure Connection
The project uses the O-RAN/AI-RAN testbed as infrastructure for command delivery, video feedback, telemetry collection, and future xApp-based control policies. The robotic platform provides a concrete Physical AI workload where wireless latency, coverage, congestion, and sensing quality can directly influence control decisions.
Related Prototype
The robotic control prototype builds on the smart robot car platform and steering xApp interface developed in the WINGS Lab.