Yongkang Guo
Papers
3
Total Citations
94
H-Index
2
About
Yongkang Guo is a pioneer in robotic 3D vision and metrology, whose work has fundamentally advanced the integration of portable laser scanners with industrial robots. His research centers on calibration methodologies and scanning systems that enable high-precision, large depth-of-view 3D measurement for automated manufacturing. Guo’s most influential contribution is the development of a portable three-dimensional laser scanner with segmental calibration, achieving a remarkable 61 citations for its breakthrough in robot vision accuracy. He further refined this system by introducing a novel robot tool center point calibration using a criterion sphere, a method detailed in his 2008 paper (31 citations) that allows robots to dynamically compensate for positioning errors during scanning. This innovation directly addressed the critical challenge of multi-angle, multi-pose data acquisition in complex industrial environments. Guo’s work has been instrumental in bridging the gap between laboratory-grade 3D scanning and practical, shop-floor robotic automation, enabling applications from quality inspection to reverse engineering. His systematic approach to scanner-robot calibration remains a foundational reference for researchers in intelligent manufacturing and computer vision, demonstrating how precise metrology can unlock the full potential of robotic flexibility.
Research Focus
Key Achievements
Top Papers
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