Gao-Wei Yuan

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About

Gao-Wei Yuan is a pioneering researcher in autonomous mobile robotics, with a focus on multi-robot coordination, sensor fusion, and navigation in unknown environments. His work addresses critical challenges in enabling robots to operate reliably without prior environmental knowledge. Yuan’s most cited paper, "Behavior control of multiple robots exploring unknown environment" (2009, 6 citations), introduces six foundational behavior control rules—including boundary searching, target tracking, and route optimization—that allow robot teams to efficiently explore and map unknown spaces. He further advanced human-robot interaction in "Human activity recognition using UWB radar and cameras on a mobile robot" (2009, 6 citations), where he combined ultra-wideband radar with vision sensors to overcome limitations of camera-only systems, such as sensitivity to lighting changes. In "Navigation technology of autonomous mobile robots in unknown environments" (2010, 4 citations), Yuan pioneered the use of cloud models to handle uncertain sonar data, integrating deliberative and reactive control paradigms for robust navigation. Though his citation counts are modest, Yuan’s work represents early, foundational contributions to behavior-based multi-robot systems and sensor fusion, providing a practical framework for autonomous exploration that continues to influence robotics research today.