Zihao Xu

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About

Zihao Xu is a researcher specializing in rehabilitation robotics, with a focus on adaptive control strategies for human-robot interaction. His work centers on developing intelligent control systems that enhance the safety and effectiveness of lower limb rehabilitation robots during active training. Xu’s major contributions lie in the integration of fuzzy logic with impedance control, enabling robots to dynamically adjust interaction forces in real time based on patient needs. His 2017 paper, "Dynamic model based fuzzy-impedance interaction control for rehabilitation robots," has garnered 8 citations, demonstrating its influence in the field. Building on this, his 2018 study, "Dynamics Based Fuzzy Adaptive Impedance Control for Lower Limb Rehabilitation Robot," further refined these techniques, earning 5 citations. Xu’s research addresses a critical challenge in rehabilitation: ensuring compliant, adaptive assistance that promotes patient engagement and recovery. His work is notable for bridging theoretical control methods with practical robotic applications, offering a pathway to more intuitive and responsive rehabilitation devices. For students and researchers, Xu’s contributions highlight the importance of adaptive control in advancing assistive robotics.