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About

Zemin Yang’s research focuses on the dynamic performance and control of variable stiffness actuators, with a particular emphasis on the friction and gap characteristics that affect high-precision machinery. His work is critical for advancing medical rehabilitation robots, legged mobile robots, and exoskeleton-assisted systems, where safe human-robot interaction is paramount. Yang’s most cited paper, “Dynamic performance analysis of the variable stiffness actuator considering gap and friction characteristics based on two-inertia-system” (2021, 32 citations), establishes a foundational framework for understanding actuator behavior under real-world conditions. He further refines this with “Transmission friction measurement and suppression of dual-inertia system based on RBF neural network and nonlinear disturbance observer” (2022, 25 citations), introducing intelligent control methods to mitigate friction. His earlier contribution, “Three-dimensional fractal model of normal contact damping of dry-friction rough surface” (2017, 18 citations), provides a theoretical model for joint surface damping, directly impacting the design of machine tools and robots. More recently, Yang developed “A new low-energy nonlinear variable stiffness actuator for the knee joint” (2022, 8 citations), showcasing his commitment to energy-efficient, safe actuation. With over 80 citations across his key works, Yang is a rising figure in mechatronics and robotics, bridging theoretical modeling with practical actuator design.