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About

Wenlei Song is a researcher focused on precision mechanical transmission systems, particularly the dynamics and stiffness of RV reducers used in industrial robots. Their major contributions center on developing new methods to calculate time-varying torsional stiffness under realistic operating conditions, accounting for variable loads and tooth modifications—factors critical to improving robot positioning accuracy and reducing vibration. Song’s most cited work, “A new method for calculating time‐varying torsional stiffness of RV reducers with variable loads and tooth modifications” (2023, 17 citations), provides a novel analytical framework that enhances the understanding of meshing behavior in high-precision reducers. Earlier work, “Deflection estimation of industrial robots with flexible joints” (2021, 12 citations), addresses the challenge of insufficient joint stiffness that degrades robot accuracy under load. Together, these studies have practical implications for designing more reliable and precise robotic systems in manufacturing. Song’s research bridges theoretical modeling and applied mechanics, offering engineers tools to optimize transmission performance and reduce vibration in industrial robots.