Lee Mai-Huy
Papers
1
Total Citations
20
H-Index
1
About
Lee Mai-Huy is a researcher at the intersection of human-robot interaction and cognitive systems engineering, whose work centers on designing collaborative systems that accommodate the inherent unpredictability of human behavior. His most influential contribution, the 2016 study "Considering human's non-deterministic behavior and his availability state when designing a collaborative human-robots system," has garnered 20 citations and introduced a novel (MO)MDP decision framework that integrates real-time eye-tracking data. This approach enables robots to dynamically adapt to a human operator's shifting attention and availability, moving beyond rigid, deterministic models of collaboration. By accounting for the operator's non-deterministic state, Mai-Huy's work addresses a critical gap in human-robot teamwork, paving the way for safer and more intuitive interactions in shared workspaces. His proof-of-concept demonstration showcases how cognitive cues can be leveraged to enhance coordination, making his research particularly relevant for applications in manufacturing, assistive robotics, and autonomous systems. Through this foundational study, Mai-Huy has established himself as a key voice in the push toward more human-aware robotic partners.
Research Focus
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Top Papers
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