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About

Sang‐Ryong Lee is a robotics researcher whose work spans path planning, teleoperation, bio-inspired adhesives, and human–robot interaction. He is perhaps best known for applying the rapidly-exploring random tree (RRT) algorithm to local path planning in unknown environments—a foundational contribution that has garnered 18 citations and remains influential in mobile robotics. Lee has also advanced telemanipulation through workspace mapping with adaptive fuzzy control (15 citations) and force-feedback gripper control (8 citations), enhancing precision in hazardous remote operations. His creativity extends to bio-inspired engineering: his work on adhesion-tunable dry adhesives by twisting (14 citations) offers novel solutions for gripping and climbing robots. In rehabilitation robotics, Lee developed a motion control framework for a bicycle-riding exoskeleton (9 citations), integrating interactive force analysis to improve human–robot synergy. His research on intelligent full-body balancing for humanoid manipulation (3 citations) addresses the challenge of handling uncertain object weights. With additional contributions in composite robot hands for TFT-LCD glass transport and error compensation for gantry robots, Lee demonstrates a broad impact across industrial, medical, and field robotics.