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About

Luzheng Bi is a prominent researcher at the intersection of neural engineering, human-robot interaction, and assistive technology, with particular expertise in brain-computer interfaces (BCIs), electromyography (EMG)-based control systems, and intelligent robot control. His work is driven by a compelling mission: empowering individuals with severe disabilities through cutting-edge neurotechnology. Bi's most influential contributions include two landmark review papers—one surveying EEG-based brain-controlled mobile robots (386 citations) and another examining EMG-based motor intention prediction for human-robot collaboration (387 citations)—which have become essential references in the field. Beyond reviews, he has pioneered advanced control frameworks, developing sliding-mode nonlinear predictive controllers and robust hierarchical control schemes that dramatically improve the safety, navigability, and responsiveness of brain-controlled robots. His research extends from single-robot teleoperation to sophisticated multi-robot and leader-follower formation systems, all governed by brain signals. Bi has also explored BCI applications in vehicular contexts, including EEG-based steering control and head-up display integrated interfaces, broadening the societal relevance of his work. With hundreds of citations accumulated across foundational and applied research, Bi's scholarship represents a cornerstone body of work for students and engineers advancing assistive robotics and neural-machine interaction systems.