Xiaoqia Yin

Shanghai Jiao Tong University, East China University of Science and Technology

Papers

Total Citations

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About

Xiaoqia Yin is a leading researcher in robotic vision and structured light measurement systems, with a focus on advancing precision calibration and 3D reconstruction for industrial automation. Their work centers on developing robust, real-time methods for extracting light strip centers and calibrating robot line structured light vision systems, enabling fast, on-line measurement of complex objects—a critical contribution to manufacturing quality control. Yin’s most-cited paper (2021, 13 citations) establishes a foundational framework for this technology, while their single-pose sphere-based calibration method (2021, 8 citations) simplifies and accelerates camera-projector system alignment. More recently, Yin introduced a vision-based simultaneous calibration technique for dual-robot collaborative systems (2024, 7 citations), addressing the complex coordinate transformations needed for seamless multi-robot interaction. This work is pivotal for tasks requiring high-precision cooperation, such as assembly and welding. With a growing citation impact and a clear trajectory toward solving real-world industrial challenges, Yin’s research is essential reading for engineers and scientists working in robotic perception, metrology, and intelligent manufacturing.