Papers
3
Total Citations
11
H-Index
2
About
Xiaoyu Lin is a rising researcher in the field of robotic metrology and intelligent measurement systems, with a focused expertise in calibration and pose optimization for mobile robotic platforms. Their work addresses critical challenges in achieving high-precision 3D full-field measurements—a cornerstone for advanced manufacturing and automation. Lin’s most impactful contribution, "A tracker pose optimization method for robotic measuring system based on spatial distance constraints" (2024, 6 citations), introduces a novel approach to enhance measurement accuracy by constraining spatial relationships. Building on this, their recent "data-efficient and general-purpose hand–eye calibration method for robotic systems using next best view" (2025, 3 citations) offers a practical, low-data solution for a notoriously difficult problem. A standout achievement is the "Robust Simultaneous Calibration Method for Mobile Robotic Measurement System Based on Global-Photogrammetry Tracking" (2025, 2 citations), which tackles the complex task of calibrating mobile trackers that can be repositioned to enlarge measurement ranges—a promising leap for flexible, large-scale 3D inspection. Though early in their career, Lin’s work is already shaping the future of adaptive, high-accuracy robotic vision systems.
Research Focus
Key Achievements
Top Papers
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