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About

Byung-Kil Han is a pioneering researcher in the intersection of human-robot interaction, haptics, and advanced motor control. His work centers on three key areas: bio-signal-based robot manipulation, haptic rendering for virtual geometry, and precision control of permanent magnet synchronous motors (PMSMs). Han’s major contributions include developing a continuous position control strategy for 1-DOF manipulators using EMG signals (2008, 20 citations), which overcame the discontinuity issues plaguing bio-signal interfaces, enhancing accuracy and user performance. He also advanced haptic technology by creating a robotic touch surface that physically imitates 3D geometry orientation (2017, 12 citations), enabling users to tactually perceive relative geometric information through a 2D screen. In motor control, Han proposed an electrical parameter estimation method for PMSMs that accounts for voltage source inverter nonlinearity (2023, 11 citations), critical for high-performance motor control. His notable achievements include developing a dual-arm path-planning algorithm for wiring harness assembly (2023, 4 citations), addressing a longstanding automation challenge in manufacturing. With a cumulative impact of over 58 citations, Han’s work bridges theoretical innovation and practical application, making him a key figure in robotics and haptics.