Yuepeng Zhang
Papers
6
Total Citations
39
H-Index
3
About
Yuepeng Zhang is a researcher whose work bridges the frontiers of rehabilitation robotics and intelligent materials design. His primary contributions lie in developing advanced control systems for lower limb rehabilitation exoskeletons, where he has pioneered methods to overcome the inherent challenges of nonlinearity, strong coupling, and external disturbances in robotic systems. Zhang’s most cited work introduces a self-adaptive-coefficient-double-power sliding mode control method (17 citations), which achieves precise trajectory tracking without requiring an accurate dynamic model of the robot. He has also made significant strides in human-robot interaction, demonstrating a real-time knee joint angle estimation technique using surface electromyography and back propagation neural networks (13 citations), enabling more intuitive and responsive exoskeleton control. More recently, Zhang has expanded into the autonomous synthesis and inverse design of electrochromic and electronic polymers (2025), applying computational methods to solve complex structure-property relationships with high efficiency and accuracy. His work on safe movement planning using Dynamic Movement Primitives and Control Barrier Functions further underscores his commitment to developing robust, patient-safe rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
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