Xiuping Wang

Wuxi Institute of Technology, Zhejiang Gongshang University

Papers

Total Citations

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About

Xiuping Wang is a researcher specializing in intelligent robotic perception and control, with a primary focus on laser vision systems and automated manufacturing. Her work centers on developing real-time visual sensing and processing algorithms that enable robots to perceive and interact with their environments with high precision. In her highly cited 2014 paper, which has garnered 10 citations, she introduced a robust algorithm for weld seam detection and feature extraction using a laser vision sensor mounted on a welding robot. This work provided a foundational method for preprocessing and analyzing weld seam images in real time, significantly advancing automated welding quality control. More recently, in 2024, Wang explored the integration of lightweight deep learning with low-cost hardware, presenting a visual servo system based on YOLOX-Tiny that enables object tracking and manipulation through joint angle estimation. This contribution demonstrates her commitment to making advanced robotic capabilities more accessible and cost-effective. Through her research, Wang has made notable strides in bridging computer vision, sensor fusion, and practical robotic automation, offering impactful solutions for industrial applications.