Shali Zhang

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About

Shali Zhang is a leading researcher in rehabilitation robotics and assistive technologies, with a focus on developing affordable, accessible solutions for gait rehabilitation. Their work centers on hybrid cooperative control systems that integrate robotic exoskeletons with functional electrical stimulation (FES) to restore mobility in stroke patients. Zhang’s most-cited paper, “Model-Based Hybrid Cooperative Control of Hip-Knee Exoskeleton and FES Induced Ankle Muscles for Gait Rehabilitation” (2017, 10 citations), introduces a low-cost hip-knee exoskeleton prototype that combines robotic assistance with FES-induced muscle activation, enabling more natural and effective gait patterns. This contribution addresses a critical gap in rehabilitation technology by prioritizing affordability without compromising therapeutic efficacy. Zhang’s research demonstrates a deep commitment to democratizing access to advanced rehabilitation tools, potentially benefiting countless patients who lack resources for expensive robotic therapies. Their work has been recognized for its practical impact, offering a scalable model for integrating robotics and neurostimulation in clinical settings. By bridging engineering innovation and patient-centered design, Shali Zhang continues to shape the future of neurorehabilitation, making strides toward more inclusive and effective recovery solutions.