Xiaoyu Lei
Papers
4
Total Citations
50
H-Index
4
About
Xiaoyu Lei is a leading researcher in robotic manipulation and visual servoing, with a focus on advancing uncalibrated and visually-guided robotic systems. Their major contributions lie in developing innovative methodologies for robotic machining, hand-eye calibration, and trajectory planning. Lei’s work on the “RobMach” system introduced G-Code-based off-line programming for robotic machining trajectory generation, a practical tool that has garnered 19 citations for its impact on manufacturing automation. In the calibration domain, Lei tackled the complex AX=YB problem—critical for aligning robot hand-eye and world coordinates—using LMI-SDP optimization, achieving 18 citations for its high accuracy and simultaneous calibration capability. Their research on uncalibrated visual servoing, including the IHUVS method (8 citations) and homography-based trajectory planning (5 citations), addresses key challenges in convergence and image Jacobian estimation, offering robust solutions for real-world robotic tasks. Lei’s work is notable for bridging theoretical optimization with practical robotic applications, making significant strides in enhancing the precision and autonomy of visually-guided systems.
Research Focus
Key Achievements
Top Papers
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