Yangqiu Xia
Papers
3
Total Citations
20
H-Index
3
About
Yangqiu Xia is a researcher specializing in industrial robot metrology, with a particular focus on precision measurement, pose estimation, and uncertainty evaluation for robotic systems. His work addresses fundamental challenges in quantifying and improving the accuracy of industrial robots — machines that underpin modern manufacturing across countless industries. Xia's most notable contribution is his development of a four-point measurement model for directly evaluating robot pose, including both position and orientation, which demonstrably reduces calculating error and measurement uncertainty. This work, published in 2017, has garnered 8 citations and represents a meaningful advance in how engineers characterize robot behavior in real-world settings. Complementing this, his research on uncertainty evaluation for both positioning repeatability (2018) and orientation repeatability (2020) tackles the inherently nonlinear mathematical challenges that arise when assessing robot performance against international standards. Collectively, his publications — accumulating around 20 citations — provide practical methodological guidance that helps manufacturers and metrologists more rigorously validate robotic systems. For students and researchers working in robotics, precision engineering, or manufacturing quality assurance, Xia's contributions offer both theoretical frameworks and actionable measurement strategies that bridge the gap between robot performance specifications and verified real-world accuracy.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3