Yuanmei Wen
Papers
2
Total Citations
13
H-Index
2
About
Yuanmei Wen is a researcher in robotics, specializing in the motion planning and control of redundant robotic manipulators. Her work focuses on solving the critical challenge of repetitive motion planning (RMP), ensuring that robot arms can return to a consistent, cyclic configuration after completing tasks—a key requirement for industrial automation and precision assembly. Wen’s major contributions include the development of novel discrete-time RMP schemes based on pseudoinverse-type formulations, which improve computational efficiency and end-effector positioning accuracy. Her most-cited paper, "Investigation on the Discretization of a Repetitive Path Planning Scheme for Redundant Robot Manipulators" (2020, 10 citations), systematically analyzes how discretization affects path planning performance. In a subsequent 2021 study, she introduced a new RMP scheme that achieves "cube end-effector planning precision," significantly enhancing repeatability in real-world operations. While her citation counts are still growing, Wen’s work represents a focused and technically rigorous contribution to robot kinematics and motion control, offering practical solutions for high-precision tasks. Her research is particularly valuable for students and engineers seeking to understand the nuances of redundancy resolution and discrete-time planning in robotic systems.
Research Focus
Key Achievements
Top Papers
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