Zexiao Xie
Papers
7
Total Citations
108
H-Index
6
About
Zexiao Xie is a robotics and automation researcher whose work spans industrial robot calibration, trajectory optimization, multi-robot systems, and underwater measurement technologies. A central thread of Xie's research involves improving the precision and flexibility of robotic measurement systems: his highly cited work on calibrating six-degree-of-freedom industrial robots using structured light (31 citations) and developing flexible measurement systems with hand-eye transformation methods for articulated robots (24 citations) have offered practical solutions for online inspection of complex workpieces in manufacturing environments. Equally notable is his contribution to high-speed Delta parallel robot trajectory optimization, where he pioneered the use of Lamé curves to smooth pick-and-place motions, minimizing residual vibration and energy consumption — work that has attracted sustained attention with 17 citations. Beyond industrial robotics, Xie has explored multi-robot coordination, developing optical sensor-based formation control and collision avoidance strategies for both NAO robots and autonomous underwater vehicles (AUVs). His more recent research extends structured light sensing into underwater binocular measurement, addressing the challenging demands of autonomous underwater grasping. Collectively, Xie's portfolio reflects a researcher committed to bridging precision measurement, motion planning, and autonomous systems across diverse and demanding environments.
Research Focus
Key Achievements
Top Papers
- 1Calibration of 6-DOF industrial robots based on line structured light31 citations · 2019
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- 5A Comparative Study on the Pick-and-Place Trajectories for a Delta Robot7 citations · 2016
- 6Binocular Underwater Measurement With Multicolor Structured Light6 citations · 2023
- 7Pattern formation for a fleet of AUVs based on optical sensor5 citations · 2017