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About

Zhongcai Pei is a prominent robotics and rehabilitation engineering researcher whose work sits at the intersection of wearable exoskeleton technology, brain-machine interfaces, and intelligent motion control. His most cited contribution, a 2022 systematic review on lower extremity robotic exoskeletons (93 citations), established him as a leading voice in assistive locomotion research, comprehensively mapping applications spanning medical rehabilitation, military, and industrial domains. Complementing this, his 2024 review on quadruped robots (88 citations) demonstrates a broad command of autonomous robotic systems and terrain-adaptive locomotion. Pei's most transformative work centers on closed-loop rehabilitation systems that decode human intent using electroencephalography (EEG) and electromyography (EMG) signals. His pioneering brain-controlled lower-limb exoskeleton (2017, 68 citations) and asynchronous EEG-based movement onset decoding (2018, 70 citations) helped lay the groundwork for neurally integrated gait training devices. His EMG-driven knee exoskeleton for home-based stroke rehabilitation (2019, 75 citations) further exemplifies his commitment to patient-centered design. More recent work on joint stiffness estimation and randomized controlled trials for robotic-assisted gait training reflects a maturing research program bridging engineering innovation with rigorous clinical validation. With over 500 cumulative citations, Pei's contributions meaningfully advance both the science and real-world application of human-robot interaction in rehabilitation.