Hsuan‐Man Hung

Papers

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About

Hsuan-Man Hung is a researcher at the forefront of multi-agent robotics and wireless communication systems. His work centers on enabling collaborative robots to operate as intelligent multi-agent systems, capable of completing complex missions without relying on public references—a critical advancement in decentralized artificial intelligence. Hung’s most cited paper, "Wireless Robotic Communication for Collaborative Multi-Agent Systems" (2019, 14 citations), introduces a framework where each robot independently makes decisions and learns through reinforcement learning, while maintaining localization and planning capabilities. This research bridges the gap between autonomous decision-making and coordinated teamwork, with broad applications in search-and-rescue, industrial automation, and swarm robotics. By demonstrating how agents can achieve shared goals through individual learning mechanisms, Hung has contributed foundational insights to the fields of distributed AI and robotic communication. His work continues to inspire new approaches to scalable, resilient multi-robot systems, making him a notable voice in the evolution of intelligent, collaborative machines.