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About

Yu. V. Ilyukhin is a leading researcher in the field of industrial robotics, specializing in high-precision robotic machining, mechatronic drive systems, and automated shape analysis. His work addresses critical challenges in using industrial robots for tasks traditionally reserved for CNC machines, such as milling, deburring, and grinding. Ilyukhin’s major contributions include developing novel control structures that enhance the accuracy and efficiency of robotic machining, notably through nonlinear adaptive correction of tool path speed and impedance control for dual-motor servo drives. His research on geometrical axis calibration using laser trackers has significantly improved absolute robot accuracy, a key requirement for machining and metrology applications. With over 50 citations across his most-cited works, including his influential 2018 paper on vibration analysis in robotic milling (22 citations), Ilyukhin’s impact is evident in advancing the precision and reliability of industrial robots. His innovative use of FPGA-based digital control systems and two-motor servo drives has pushed the boundaries of mechatronic design, enabling high-performance, cost-effective automation solutions. Ilyukhin’s work is essential reading for engineers and researchers seeking to bridge the gap between traditional machining and flexible robotic systems.