Shaowei Yao

Papers

Total Citations

187

H-Index

About

Shaowei Yao is a leading researcher in rehabilitation robotics and human-robot interaction, with a focus on developing intelligent control systems for wearable assistive devices. His key research areas include adaptive admittance control, electromyography (EMG)-driven musculoskeletal modeling, and exoskeleton technology for stroke rehabilitation. Yao's major contributions center on enhancing patient-robot synchronization and compliant assistance. His most cited work, "Adaptive Admittance Control for an Ankle Exoskeleton Using an EMG-Driven Musculoskeletal Model" (97 citations), pioneered a novel control scheme that uses muscle activity to predict user intent, enabling more natural and responsive robotic support. Similarly, his paper "Admittance Control Based on EMG-Driven Musculoskeletal Model Improves the Human–Robot Synchronization" (90 citations) addressed critical delays in torque transmission between human and machine, significantly improving real-time interaction quality. These innovations have advanced the field of neurorehabilitation by making exoskeletons more intuitive and effective for stroke patients. Yao's work has garnered substantial attention, with his top papers accumulating over 187 citations, reflecting their impact on both academic research and clinical applications. His achievements demonstrate a profound commitment to merging biomechanics, signal processing, and control theory to restore motor function and improve quality of life for individuals with neurological impairments.