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About

Jae Wook Lee is a pioneering robotics researcher whose work spans medical robotics, autonomous systems, and the Internet of Robotic Things (IoRT). His research focuses on developing intelligent robotic systems that can perceive, navigate, and interact with complex environments, with particular emphasis on colonoscopy robots and assistive technologies. Lee's most impactful contribution is his work on non-visual sensor-based shape perception for flexible colonoscopy robots, which has garnered 8 citations and established foundational methods for gait control in medical robotics. He has also made significant advances in point cloud processing, introducing a point distribution-aware pruning technique for 3D deep neural networks that has already accumulated 6 citations since 2023. Lee's research extends to cloud-fog computing architectures for IoRT, where he has developed novel message routing strategies using M/M/c/K queuing networks. His notable achievements include pioneering work on biodynamic modeling of the colon for endoscopic robot design, and developing EEG-based intention detection systems for walking assistant robots. With a publication record spanning from 2011 to 2023, Lee continues to push boundaries in medical robotics, autonomous navigation, and human-robot interaction, demonstrating particular expertise in translating complex sensing and control theories into practical robotic applications.