Papers
10
Total Citations
598
H-Index
8
About
Dr. Pei-Chun Kao is a leading researcher in the field of robotic gait rehabilitation, whose work bridges motor control, biomechanics, and neural adaptation. Her primary research areas include locomotor adaptation, assist-as-needed (AAN) robotic training, and the development of intelligent exoskeleton control algorithms for stroke recovery. Dr. Kao’s most significant contribution is the pioneering of AAN robot-aided gait training paradigms, which actively encourage patient participation rather than passive movement—a concept demonstrated in her highly cited 2015 study (171 citations) showing improved walking function post-stroke. Her foundational work on invariant ankle moment patterns during exoskeleton-assisted walking (172 citations) and motor adaptation to powered orthoses (78 citations) has shaped how researchers understand human-robot interaction. Dr. Kao has also explored innovative control strategies like performance-based error-augmentation versus error-reduction training (53 citations), offering alternatives to therapist-assisted rehabilitation. With over 600 total citations, her studies have advanced both the theoretical understanding of locomotor adaptation and the practical design of robotic exoskeletons, making her a key figure in translating neurorehabilitation engineering into clinical practice.
Research Focus
Key Achievements
Top Papers
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- 8Effects of induced motor fatigue on walking mechanics and energetics10 citations · 2023
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