Zhiyue Xu

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About

Zhiyue Xu is a researcher in robotics and motion control, with a focus on FPGA-based systems and cable-driven mechanisms. His work addresses critical challenges in precision motion for CNC machines and robotic arms. Xu’s early contributions include the implementation of 2-axis circular and 3-axis linear interpolation algorithms for FPGA-based 4-axis motion controllers, enabling efficient, real-time control for industrial automation. These foundational studies, published in 2007 and 2008, have garnered 7 and 4 citations, respectively, establishing his expertise in hardware-level motion control. Later, Xu advanced into cable-driven robotics, developing a dynamic model and tension analysis for a 7-degree-of-freedom (DOF) cable-driven robotic arm (CDRA) in 2013. This work, cited 3 times, mimics human muscle actuation to achieve dexterous, singularity-avoiding motion, offering a lightweight and flexible alternative to traditional rigid-link robots. Xu’s research bridges embedded systems and bio-inspired design, providing practical solutions for high-DOF manipulation. His achievements highlight a career dedicated to enhancing robotic autonomy and precision, making his work valuable for students and engineers exploring motion control architectures and cable-driven actuation.