Yusheng Liao

University of Chinese Academy of Sciences

Papers

Total Citations

H-Index

About

Yusheng Liao is a researcher in robotics and mechatronics, with a primary focus on the modeling and control of integrated robotic joint systems. His most cited work, "Modeling of Torque Ripple for Integrated Robotic Joint" (2019), addresses a critical challenge in precision robotics—the accurate characterization and mitigation of torque ripple, which directly impacts motion smoothness and positioning accuracy in robotic arms and collaborative robots. By developing a comprehensive model that accounts for nonlinear electromagnetic and mechanical interactions, Liao’s contribution provides a foundational framework for improving joint-level performance in high-precision applications. This work, which has garnered 2 citations, is particularly notable for its practical relevance to the design of compact, high-torque-density actuators used in modern robotics. Liao’s research bridges the gap between theoretical modeling and real-world implementation, offering engineers tools to enhance the reliability and efficiency of robotic systems. His efforts contribute to the broader advancement of integrated joint technology, a key enabler for next-generation automation and human-robot collaboration.