Papers
27
Total Citations
314
H-Index
12
About
Dr. Beom Hee Lee is a pioneering roboticist whose research has fundamentally advanced multi-robot coordination, motion planning, and autonomous navigation in complex environments. His seminal work on a real-time traffic control scheme for multiple AGV systems, which introduced a two-staged routing table approach for collision-free minimum-time motion, remains highly influential with 56 citations and has become a cornerstone for industrial mobile robot fleets. Dr. Lee has made significant contributions to underwater robotic exploration through a novel hybrid terrain coverage method, and to human-robot interaction by developing localization techniques within informationally structured spaces using sensor networks. His innovative work on feature map merging for multi-robot systems, employing virtual supporting lines, has enabled robust collaborative mapping without inter-robot measurements. He also developed the "Grafting" path replanning technique for rapidly-exploring random trees in dynamic environments, addressing the critical challenge of dynamic obstacle avoidance. With over 200 total citations across his portfolio, Dr. Lee's research spans collision analysis, rollover-free navigation, and evolutionary trajectory optimization, establishing him as a leading figure in intelligent robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A new hybrid terrain coverage method for underwater robotic exploration30 citations · 2013
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- 6Balancing of an inverted pendulum with a redundant direct-drive robot16 citations · 2002
- 7Rollover-free navigation for a mobile agent in an unstructured environment14 citations · 2006
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- 10Enhanced-spectrum-based map merging for multi-robot systems12 citations · 2013