Xingbao Liu
Papers
3
Total Citations
20
H-Index
3
About
Xingbao Liu is a metrology and robotics researcher whose work centers on the precision measurement and performance evaluation of industrial robots. His research addresses some of the most technically demanding challenges in robot metrology: accurately quantifying pose, positioning repeatability, and orientation repeatability under real-world conditions. Liu's most notable contribution is his development of a four-point measurement model for directly measuring the pose of industrial robots, a method designed to minimize calculating errors and reduce measurement uncertainty — work that has garnered 8 citations since its 2017 publication. Building on this foundation, he has made significant strides in uncertainty analysis, tackling the inherently nonlinear problems that arise when evaluating both positioning and orientation repeatability in robotic systems. His 2018 and 2020 studies, each earning 6 citations, provide structured methodologies and practical guidance for engineers seeking to constrain measurement uncertainty in industrial settings. Collectively, Liu's research strengthens the metrological foundations underpinning modern manufacturing robotics, offering the scientific community rigorous frameworks for assessing and improving robot performance with greater confidence and reliability.
Research Focus
Key Achievements
Top Papers
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