Yan Wen
Papers
4
Total Citations
35
H-Index
3
About
Yan Wen is a researcher at the forefront of advanced actuation and precision motion control for robotics, with a focus on permanent-magnet spherical motors and integrated joint systems. Their work addresses critical challenges in multi-degree-of-freedom (DOF) motion, aiming to replace complex transmission mechanisms with direct-drive solutions for faster, more precise robot manipulators. A key contribution is the development of a lumped-parameter thermal network model for real-time temperature estimation in spherical motors, enabling safer and more efficient operation. Wen also advanced point-to-point motion control, deriving dynamic current calculations to improve positioning accuracy and dynamic performance. Their investigations into Hall sensor errors in robot joint motors have enhanced current and rotor position estimation, directly impacting the reliability of brushless DC torque motors. More recently, Wen proposed a novel approach to nonlinear friction identification and compensation in integrated spherical joints using a Hippopotamus Optimization Algorithm, addressing hysteresis and vibrations that limit high-precision applications like medical and rescue robotics. With over 35 citations across their most-cited works, Yan Wen’s research is steadily building a foundation for more agile, accurate, and robust robotic systems.
Research Focus
Key Achievements
Top Papers
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