Xiaoliang Wu
Papers
3
Total Citations
22
H-Index
3
About
Xiaoliang Wu is a leading researcher in industrial robotics, specializing in the precision, calibration, and control of six-degree-of-freedom (6-DOF) serial manipulators. His work directly addresses critical challenges in manufacturing automation, focusing on how to make robots more accurate and reliable in real-world settings. Wu’s major contributions include developing a sensitivity analysis framework for the international standard ISO 9283:1998, which identifies which performance tests are most effective at detecting specific error sources in robot positioning and orientation—a crucial insight for quality assurance. He also pioneered a sequential calibration method for joint transmission ratios using laser trackers, which improves upon traditional lumped-parameter approaches by isolating and correcting individual error contributions. In the domain of motor control, Wu designed a sensorless model reference adaptive control (MRAC) system for permanent magnet synchronous motors (PMSMs), enhancing speed and position accuracy without additional hardware. With his most-cited papers each garnering 6–8 citations since 2019, Wu’s work is gaining traction among engineers and researchers seeking to push the boundaries of robot performance, making him a rising voice in precision robotics and industrial automation.
Research Focus
Key Achievements
Top Papers
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