Xiaozhi Zhang

Wuhan Institute of Technology, Ji Hua Laboratory

Papers

Total Citations

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About

Xiaozhi Zhang is a robotics researcher whose work focuses on advancing robotic manipulation and manufacturing through innovative mechanical design and intelligent control. Zhang’s key research areas include parallel robotic mechanisms, collaborative robotic systems, and friction compensation for precise motion control. In their most cited work, Zhang introduced a novel 3-degree-of-freedom parallel decoupling flexure mechanism for a robotic polishing end-effector, enabling a compliant contact environment that significantly reduces impact forces during surface finishing—a critical contribution to automated polishing. This paper has garnered 6 citations, establishing Zhang’s foundational work in compliant robotic tooling. Zhang has also addressed the persistent challenge of friction in robot joints by proposing a modified neural network structure for friction compensation, improving servo-loop tracking performance in motion control. Additionally, their work on trajectory-smooth optimization for dual-robot collaborative welding demonstrates a commitment to advancing cooperative manufacturing processes. With a growing citation record and contributions spanning mechanical design, control theory, and neural network applications, Xiaozhi Zhang is establishing a reputation for practical, high-impact solutions in industrial robotics.