Hualin Han

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About

Hualin Han is a leading researcher in rehabilitation robotics and human–machine interaction, with a focus on hybrid exoskeleton systems that integrate pneumatic artificial muscles (PAM) and functional electrical stimulation (FES). His most-cited work, "Iterative learning control applied to a hybrid rehabilitation exoskeleton system powered by PAM and FES" (2017), has garnered 27 citations and represents a key contribution to adaptive control strategies for assistive devices. By applying iterative learning control to precisely coordinate muscle stimulation and robotic actuation, Han has advanced the development of safer, more responsive exoskeletons for stroke and spinal cord injury rehabilitation. His research bridges control theory, biomechanics, and clinical application, aiming to restore mobility and improve quality of life for individuals with motor impairments. Han’s work is notable for its practical integration of soft robotics and bioelectric stimulation, offering a novel pathway toward personalized, intelligent rehabilitation systems. With growing recognition in the field, his contributions continue to influence the design of next-generation wearable robots.