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About

Guangyue Xue is a researcher specializing in advanced control systems and multisensor data fusion for robotic manipulators. Their work focuses on improving the accuracy and reliability of end-effector position estimation and motion control, particularly for rigid-link flexible-joint manipulators. Xue's major contributions include pioneering the integration of discrete-time sliding mode control with asynchronous multi-rate sensor fusion, enabling more precise state estimation despite the inherent delays and slow sampling rates of vision sensors. They also introduced a fractional Kalman filter-based fusion algorithm to enhance system state approximation in robotic systems. With a total of 13 citations across their most-cited papers, Xue's research has laid foundational groundwork for handling asynchronous, multi-rate sensor measurements—a critical challenge in industrial robotics. Notable achievements include developing methods to compensate for gear mechanism inaccuracies and visual latency, directly improving tracking performance. Their work bridges control theory and practical sensor integration, offering valuable solutions for engineers seeking robust, real-time robotic manipulation in manufacturing and automation contexts.