Hyunsoo Lee
Papers
5
Total Citations
66
H-Index
4
About
Hyunsoo Lee is a leading researcher at the intersection of robotics, digital twins, and intelligent automation. His work focuses on developing control frameworks and motion planning strategies that bridge the physical and digital worlds, with a particular emphasis on collaborative and service robots. Lee’s most influential contribution is his pioneering work on a control framework for collaborative robots that uses imitation learning-based teleoperation to connect a human digital twin with a robot digital twin, a paper that has garnered 24 citations. He has also made significant strides in household robotics, introducing an intelligent scheduling and motion control system for vacuum cleaning robots that uses simulation-based optimization to manage multi-cleaning cycles—a concept that has accumulated 29 total citations across two related publications. More recently, Lee has advanced the field with a physics-based cooperative robotic digital twin framework for contactless delivery motion planning. His work on implementing a cyber-physical system for robotic arm control in smart factories further demonstrates his commitment to real-world industrial applications. Through his research, Lee is shaping the future of human-robot collaboration and intelligent automation.
Research Focus
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Top Papers
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