Papers
5
Total Citations
27
H-Index
3
About
Keehoon Kim is a robotics researcher whose work spans human-robot interaction, rehabilitation robotics, surgical robotics, and teleoperation systems. He is particularly recognized for his pioneering contributions to power-assisted exoskeleton control, where he developed novel methods leveraging surface electromyography (sEMG) signals to interpret user intent and minimize muscle energy expenditure during assisted motion. His 2017 paper on control schemes for power-assistant robotic systems under unknown external perturbations has garnered 12 citations, representing his most impactful contribution to date and advancing beyond conventional force/torque sensor-dependent approaches. Kim's research extends into high-precision surgical robotics, including the development of manipulation platforms for neural interface implantation and a miniature suction-gripper capable of handling delicate peripheral nerves during surgery — work that bridges robotics engineering with neuroscience applications. More recently, he has addressed industrial safety challenges, designing adaptive haptic control interfaces for robotic teleoperation in hazardous steelmaking environments. Across these diverse domains, Kim consistently focuses on making robotic systems safer, more intuitive, and more responsive to human needs — whether assisting a rehabilitation patient, supporting a neurosurgeon, or protecting a steelmill worker from dangerous conditions.
Research Focus
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Top Papers
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