Papers
2
Total Citations
92
H-Index
2
About
Kailiang Duan is a leading figure in the field of robotic vision and 3D metrology, with a primary focus on the development and calibration of portable laser scanning systems for industrial automation. His major contributions center on solving the critical challenge of integrating high-precision 3D scanners with robotic manipulators. Duan pioneered a novel segmental calibration method for portable laser scanners, which dramatically increases the depth of view while maintaining accuracy—a breakthrough essential for complex robot vision tasks. His most cited work, "Large depth-of-view portable three-dimensional laser scanner and its segmental calibration for robot vision" (2007, 61 citations), established a foundational technique in the field. He further advanced this with a robot tool center point calibration method using a criterion sphere, detailed in his 2008 paper (31 citations), which enables seamless integration of the scanner with industrial robots for precise measurement. Duan’s work has become a cornerstone for researchers and engineers developing automated inspection and reverse engineering systems, providing both the theoretical framework and practical calibration protocols that make robot-guided 3D scanning reliable and deployable in real-world manufacturing environments.
Research Focus
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Top Papers
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