Papers
4
Total Citations
20
H-Index
2
About
Geonhyup Lee’s research lies at the intersection of rehabilitation robotics and intelligent manipulation, driving innovations that restore human mobility and advance autonomous assembly. His work on a 4-DOF robot for trunk rehabilitation (2020, 8 citations) established foundational designs for assistive devices targeting post-stroke recovery. In a comparative study on overground gait (2021, 8 citations), Lee critically evaluated conventional canes versus haptic canes for stroke survivors, revealing how standard aids can inadvertently reduce paretic muscle activity and cause upper limb neuropathies—insights that directly inform safer rehabilitation protocols. Shifting to industrial robotics, Lee introduced **PolyFit** (2024, 2 citations), a sim-to-real framework that redefines peg-in-hole assembly for unseen polygon shapes, overcoming sensor inaccuracies and mechanical errors that typically cause jamming. Most recently, he co-created **GraspClutter6D** (2025, 2 citations), a large-scale real-world dataset that pushes beyond simplistic, lightly occluded scenes to enable robust perception and grasping in truly cluttered environments. By bridging clinical rehabilitation with cutting-edge manipulation, Lee’s work demonstrates a rare ability to solve real-world constraints—from human gait to robotic insertion—making him a rising figure in both assistive and autonomous robotics.
Research Focus
Key Achievements
Top Papers
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