Haruyuki Nakagawa

Tokyo Institute of Technology, Sony (Taiwan)

Papers

Total Citations

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About

Haruyuki Nakagawa is pioneering the intersection of vision-based sensing and multi-agent communication, with a sharp focus on environments where traditional radio communication fails. His core research areas include multi-agent reinforcement learning, optical wireless communication (OWC), and event-camera vision. Nakagawa’s major contribution lies in demonstrating that visible light communication (VLC) can serve as a practical, camera-readable channel for agent coordination—enabling robots, rovers, and drones to identify one another and exchange information underwater or in radio-denied settings. His 2023 paper on multi-agent visual coordination using OWC has already garnered 4 citations, while his 2024 work linking vision and multi-agent communication through event cameras (2 citations) further advances the field by showing how event-based sensors can decode VLC signals for real-time, low-latency collaboration. By replacing radio with light, Nakagawa is opening new possibilities for swarms of mass-produced agents to interact seamlessly in challenging environments. His research is especially notable for its practical orientation—addressing real-world constraints like bandwidth, interference, and hardware simplicity—making it a key reference for anyone working on embodied multi-agent systems in extreme or infrastructure-limited settings.