Xue-Feng Zhou

Guangdong Institute of Intelligent Manufacturing, Guangdong Academy of Sciences

Papers

Total Citations

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About

Xue-Feng Zhou is a leading researcher in intelligent robotic manufacturing, specializing in precision measurement, machining dynamics, and vibration control. His work addresses critical challenges in robotic milling and 3D scanning, where he has developed innovative methods to enhance accuracy and efficiency. Zhou’s most-cited paper, “A fast registration method for multi-view point clouds with low overlap in robotic measurement” (2024, 4 citations), introduces a novel approach for rapid quality inspection of complex parts, significantly improving robotic measurement in automated production lines. He has also made substantial contributions to chatter suppression in robotic milling, with papers like “Modal-aware vibration evaluation and suppression method for robotic milling” (2026, 2 citations) and “A rapid method for modal parameter prediction in robotic milling” (2025, 1 citation). These works provide practical solutions for predicting and mitigating vibrational forces that degrade machining precision, leveraging modal analysis to enhance robot stiffness and stability. Zhou’s research has direct applications in aerospace, automotive, and precision engineering, where high-accuracy robotic operations are essential. His growing citation record reflects the increasing relevance of his work to both academia and industry, positioning him as a key innovator in smart manufacturing and robotic automation.