Xianping Liu
Papers
6
Total Citations
88
H-Index
5
About
Xianping Liu is a prominent researcher specializing in robotic calibration, computer vision, and advanced manufacturing systems. His work sits at the intersection of precision robotics and industrial automation, with a particular focus on developing novel calibration methodologies that enhance the accuracy and efficiency of robotic systems in high-precision machining environments. Liu's most significant contributions center on hand-eye calibration and kinematic modeling. His 2022 paper on three-dimensional vision-based hand-eye calibration has garnered 27 citations, while his innovative kinematics decomposition approach for serial industrial robot calibration has attracted 24 citations since its 2023 publication — a remarkable uptake for such recent work. A recurring theme across his research is the "equivalent system" concept, which he has applied to both serial and hybrid robot architectures, including 5-DOF machining platforms. Beyond calibration, Liu has made notable contributions to large-scale manufacturing through mobile robotic systems, integrating hybrid robots like TriMule with automated guided vehicles. His earlier work on human-guided vision measurement systems demonstrates a consistent commitment to bridging sophisticated robotic hardware with intelligent sensing solutions. Collectively, his publications reflect a researcher steadily shaping the future of intelligent, precision-driven industrial robotics.
Research Focus
Key Achievements
Top Papers
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