Xubin Liang
Papers
2
Total Citations
13
H-Index
2
About
Xubin Liang is a researcher specializing in robotics, computer vision, and intelligent welding automation. His work centers on advancing hand-eye calibration and adaptive welding control, addressing critical challenges in industrial robotics. Liang’s most-cited paper, “A novel binocular vision-robot hand-eye calibration method using dual nonlinear optimization and sample screening” (2023, 7 citations), introduces a robust calibration technique that enhances precision in robotic vision systems by filtering noisy data and optimizing nonlinear parameters. His second highly cited study, “A novel 8-shape trajectory weaving welding control algorithm with auto-adjust welding torch attitude” (2022, 6 citations), presents an innovative algorithm that dynamically adjusts the welding torch’s orientation along a figure-eight path, improving weld quality and consistency in automated processes. These contributions have practical implications for manufacturing, reducing errors and increasing efficiency in robotic welding and vision-guided tasks. With a growing citation impact, Liang’s work is gaining recognition among engineers and researchers in industrial automation. His dual focus on optimization and real-time control positions him as a promising figure in the field, offering scalable solutions for next-generation robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2