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About

Hoam Chung is a robotics researcher whose work spans swarm robotics, biped locomotion, multi-robot systems, and aerial vehicles. He is perhaps best known for his highly cited 2015 survey on search and tracking algorithms for robot swarms (183 citations), which has become a key reference for researchers navigating the rapidly expanding field of collective robotic intelligence. His early career contributions focused on biped robot locomotion, where he developed innovative impedance control strategies and hybrid control frameworks that addressed real-world challenges such as ground impact absorption, disturbance rejection, and stable footing — work that collectively garnered over 100 citations. Chung later broadened his research scope to encompass multi-agent sensing systems, publishing influential work on robotic sensor webs and decentralized coverage control for nonholonomic robots. More recently, he has explored bio-inspired soft robotics, developing a lobster-inspired compliant bending module, and advanced quadrotor navigation in challenging confined environments such as tunnels. His practical contributions to swarm localization, including a low-cost UWB-based relative localization sensor, reflect a consistent commitment to translating theoretical insights into deployable robotic systems. Across these diverse domains, Chung's research demonstrates a rare breadth combined with meaningful depth.