Hong Kong Multi-agentic Chips Design Cooperation

 

Multi-modal Multi-agentic Emboddied Chips, AI, 6G Communication Integrated Solutions 

This project aims to develop the world’s first AI-Native Perception Networking Chip integrating computer vision and communication into a unified SoC architecture. By embedding dynamic scheduling, ROI-based perception, and perception-aware networking protocols directly in hardware, the system enables ultra-low-latency, secure, and efficient perception sharing among autonomous vehicles, drones, and industrial robots. The architecture reduces communication delay by an order of magnitude, supporting real-time collaboration in ports, airports, and smart factories. Positioned as the “Qualcomm + NVIDIA” of perception networking, it establishes the core infrastructure for next-generation multi-agent intelligence.

 

Team member(s)

Dr Li Zelin* (Postdoc, Department of Electrical Engineering, City University of Hong Kong)
Dr Guo Hao (Alumnus, Department of Electrical Engineering, City University of Hong Kong)
Dr Zhao Xinran (Alumna, Department of Electrical Engineering, City University of Hong Kong)
Dr Chen Huiming (The University of Hong Kong)

* Person-in-charge
(Info based on the team's application form)

 

Achievement(s)
  1. CityU HK Tech 300 Seed Fund (2025)