Wei Yue
Papers
8
Total Citations
159
H-Index
5
About
Wei Yue is a robotics researcher whose work centers on the mechanical analysis, optimization, and control of hybrid robotic systems, with a particular focus on high-performance manufacturing applications such as milling and friction stir welding. His most influential contribution, "Stiffness Modeling and Analysis of a Novel 5-DOF Hybrid Robot" (2017), has garnered 96 citations and established him as a leading voice in understanding the structural behavior of robots that combine parallel and serial mechanisms. Building on this foundation, Yue has developed systematic approaches for predicting and identifying Cartesian stiffness, compensating end-effector deformation under heavy loads, and optimizing robot posture during demanding welding operations. His 2022 paper on stiffness prediction for friction stir welding applications has attracted 31 citations, reflecting the practical relevance of his methods to industrial robotics. More recently, Yue has expanded his research into feedrate scheduling, path planning with redundant kinematics, and dynamic parameter identification, demonstrating a comprehensive command of both kinematic and dynamic robot modeling. His body of work offers valuable tools for engineers seeking to deploy hybrid robots in precision manufacturing environments with greater reliability and performance.
Research Focus
Key Achievements
Top Papers
- 1Stiffness modeling and analysis of a novel 5-DOF hybrid robot96 citations · 2017
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