Ziyue Sun
Papers
3
Total Citations
83
H-Index
3
About
Ziyue Sun is pioneering the next generation of intelligent wearable robotics, with a research focus on human–machine interaction, neuromuscular modeling, and shared control for rehabilitation. Their most impactful work, “Evaluation of a Fused Sonomyography and Electromyography-Based Control on a Cable-Driven Ankle Exoskeleton” (2023, 53 citations), introduces an assist-as-needed framework that fuses ultrasound and electrical signals to predict human effort via a Hill-type neuromuscular model. This innovation enables exoskeletons to adapt assistance in real time, moving beyond rigid pre-programmed support. Sun’s earlier foundational paper, “Switched control of an N-degree-of-freedom input delayed wearable robotic system” (2021, 24 citations), advanced robust control theory for time-delayed systems—a critical challenge in safe human–robot interaction. Their most recent work (2024) explores real-time ultrasound imaging to optimize shared control in hybrid exoskeletons that combine powered assistance with functional electrical stimulation for individuals with spinal cord injury. By integrating sonomyography, electromyography, and advanced control theory, Sun is redefining how wearable robots sense and respond to human intent, with direct implications for restoring mobility in clinical populations.
Research Focus
Key Achievements
Top Papers
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