Chung

Papers

Total Citations

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About

Chung’s research lies at the intersection of human-robot interaction and intelligent path planning for mobile robots. In his foundational work on the Snackbot project, Chung documented the design of a robot built for long-term human-robot interaction, exploring how robots can engage with people over extended periods in real-world settings. This paper, with 15 citations, has informed subsequent studies on socially aware robot design. Chung also made a significant contribution to autonomous navigation with his extended Dyna-Q algorithm for mobile robot path planning. By addressing the inefficiency of the standard Dyna-Q algorithm—which forces an agent to wander blindly in early episodes—Chung introduced a maximum likelihood model of all state-action pairs to accelerate learning. This work, cited 10 times, offers a practical improvement for robots operating in unfamiliar environments. Together, these achievements highlight Chung’s dual focus on making robots both more socially capable and more computationally efficient, advancing the field of interactive and autonomous robotics.