Papers
1
Total Citations
8
H-Index
1
About
Yan Qin is a leading researcher in precision manufacturing and aerospace assembly, with a focus on robotic drilling and surface measurement technologies. Her work addresses critical challenges in ensuring hole perpendicularity during aircraft assembly, where accurate normal surface measurement is essential for robotic positioning. In her highly cited 2024 paper, "Error Analysis of Normal Surface Measurements Based on Multiple Laser Displacement Sensors," she systematically analyzed the sources and propagation of measurement errors in multi-sensor systems, providing a robust framework for improving drilling accuracy. This contribution has garnered 8 citations in a short time, reflecting its immediate relevance to the aerospace industry. Qin's research bridges the gap between theoretical metrology and practical robotic applications, offering actionable insights for reducing defects in high-stakes manufacturing environments. Her work is particularly notable for its potential to enhance the reliability of automated assembly processes, a key step toward more efficient and precise aerospace production.
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