Chih‐Cheng Hung

Southern Polytechnic State University, Kennesaw State University

Papers

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About

Chih-Cheng Hung is a researcher whose work sits at the intersection of swarm robotics, human-machine interaction, and intelligent control systems. His key contributions span two distinct but impactful domains: multi-robot coordination and biomedical signal processing for rehabilitation. In his highly cited 2011 work on multi-robot task allocation, Hung leveraged swarm intelligence principles to address the challenge of assigning both loosely-coupled and tightly-coupled tasks—those requiring either independent or coordinated effort from multiple robots. This paper, with 25 citations, has helped shape foundational approaches to distributed robotic collaboration in real-world applications. More recently, Hung has turned his attention to advancing stroke rehabilitation through intelligent robotic devices. His 2020 study on EMG-based simultaneous wrist motion prediction employed reinforcement learning to enable active, responsive prosthetics that can interpret user intent from muscle signals. This work, while newer, points toward a future where rehabilitation robots can provide both actuation and sensory feedback, improving patient outcomes. By bridging swarm robotics and assistive technology, Hung demonstrates a versatile commitment to creating intelligent, adaptive systems that work alongside humans.