Papers
8
Total Citations
484
H-Index
7
About
Dr. Kai Gui is a leading researcher in rehabilitation robotics, specializing in the development of intelligent, human-centered systems for gait rehabilitation and assistive technologies. His work focuses on integrating electromyography (EMG), brain-computer interfaces (BCI), and computer vision to create adaptive, multimodal human-robot interactions that enhance active user participation. Dr. Gui’s major contributions include pioneering a practical, adaptive method for EMG-based torque estimation in robotic exoskeletons (166 citations), which significantly improves the efficacy of rehabilitation training. He also developed a shared control framework combining non-invasive BCI with computer vision guidance (103 citations), enabling intuitive control of robotic arms. His research on cooperative control for hybrid systems integrating functional electrical stimulation (FES) with exoskeletons (45 citations) has advanced the field of neurorehabilitation. With over 480 total citations across his most-cited works, Dr. Gui’s innovations in admittance control, impedance control, and teleoperation systems have laid the groundwork for more responsive, user-driven robotic exoskeletons, making him a key figure in the quest to restore mobility and independence for individuals with paraplegia.
Research Focus
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Top Papers
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