Guangtao Xu
Papers
1
Total Citations
2
H-Index
1
About
Dr. Guangtao Xu is a researcher specializing in precision robotics and manufacturing, with a primary focus on error modeling and kinematic optimization for hybrid machine systems. His most cited work, "Error modeling and identification of a parallel robot in a hybrid machine for polishing" (2017), introduces a novel hybrid machine designed for ultra-precision polishing, integrating a 3-DOF parallel robot, a 2-DOF serial robot, and a redundant turntable. In this study, Dr. Xu develops an explicit error model for the parallel robot using Denavit–Hartenberg (D-H) conventions, providing a systematic framework for identifying and compensating geometric errors that affect machining accuracy. This contribution is critical for advancing precision manufacturing, particularly in applications requiring high surface quality, such as optical and aerospace components. While his citation count is currently modest, the foundational nature of his work on error identification in hybrid robots holds significant potential for future impact in the field of ultra-precision machining and robotic polishing systems.
Research Focus
Key Achievements
Top Papers
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