Hengtao Yue
Papers
1
Total Citations
18
H-Index
1
About
Dr. Hengtao Yue is a leading researcher in robotic perception and calibration, with a core focus on advancing the accuracy and efficiency of visually-guided robotic systems. His most impactful work centers on solving the fundamental **AX=YB** problem—the simultaneous calibration of hand-eye (X) and robot-world (Y) transformations. In his highly cited 2022 paper, Yue pioneered the use of **Linear Matrix Inequality–Semidefinite Programming (LMI-SDP) optimization** to achieve simultaneous coordinate calibrations, overcoming the limitations of traditional separation-based methods that treat rotational and translational components independently. This breakthrough has garnered 18 citations and is recognized as a critical advancement for precision tasks in industrial automation and surgical robotics. By providing a mathematically robust, globally optimal solution to a long-standing calibration challenge, Dr. Yue’s work directly enhances the reliability of robot vision systems. His contributions are essential reading for researchers and engineers working on sensor fusion, autonomous manipulation, and high-accuracy robotic alignment, establishing him as a key figure in modern robotic calibration theory.
Research Focus
Key Achievements
Top Papers
- 1