Papers
3
Total Citations
23
H-Index
2
About
Zhenyuan Yu is a rising researcher at the intersection of wearable robotics and intelligent sensing, whose work is shaping the future of human-robot interaction and rehabilitation. His primary research areas include robotic exoskeletons, interactive force measurement, and sensor fusion for autonomous navigation. Yu’s most significant contribution is the development of a differential soft sensor-based system for a robotic hip exoskeleton, enabling real-time, online measurement of interactive force and assistive torque—a critical advancement for ensuring safety and effectiveness in wearable robots (16 citations). He has also pioneered a camera/ultrasonic sensor-based trunk localization system for semi-structured orchards, addressing complex challenges in agricultural automation (5 citations). More recently, Yu has focused on neuro-rehabilitation, developing a wearable robotic system specifically designed to enhance mediolateral balance, targeting fall prevention in populations with motor deficits (2 citations). His work uniquely bridges the gap between precise sensor design and practical applications in both medical rehabilitation and agricultural robotics, demonstrating a versatile and impactful approach to solving real-world problems through robotic innovation.
Research Focus
Key Achievements
Top Papers
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