Xiang-Yu Meng
Papers
1
Total Citations
6
H-Index
1
About
Xiang-Yu Meng is a leading researcher in the field of intelligent manufacturing and robotics, with a primary focus on the dynamic modeling and precision control of industrial robots. His work addresses a critical challenge in robotic machining: the accurate prediction of tool point dynamics, which is essential for achieving high-precision milling operations. Meng’s most notable contribution is the development of a rapid prediction method for pose-dependent tool point dynamics, combining multiple output Gaussian process regression with proper orthogonal decomposition. This innovative approach, detailed in his 2025 paper, offers a computationally efficient alternative to traditional finite element methods, enabling real-time adjustments for varying robot configurations. Already garnering 6 citations, this work has significant implications for improving the accuracy and reliability of robotic milling in aerospace and automotive manufacturing. By bridging the gap between machine learning and robotics, Meng’s research is paving the way for more adaptive and autonomous manufacturing systems. His achievements highlight his expertise in data-driven modeling and his commitment to advancing the frontiers of robotic precision.
Research Focus
Key Achievements
Top Papers
- 1