A.S. Yuschenko

Bauman Moscow State Technical University

Papers

Total Citations

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About

A.S. Yuschenko is a pioneering figure in robotics, whose work spans autonomous control, collaborative manipulation, and early space robotics. His research focuses on developing intelligent control systems for robots operating in uncertain environments, with key contributions in fuzzy logic-based autonomy and adaptive neural network control. Yuschenko’s 2014 paper on autonomous robot control in partially undetermined worlds (16 citations) introduced fuzzy logic frameworks that enable robots to navigate and make decisions without complete environmental models, a foundational concept for modern autonomous systems. His 2018 work on hybrid force/position control for collaborative parallel robots (13 citations) advanced adaptive neural network techniques, enhancing precision and safety in human-robot collaboration. Notably, Yuschenko’s early research on free-flying manipulation robot computer control (1979, 7 citations) was among the first to address computer control for space-based manipulators, laying groundwork for orbital robotics. With a career spanning decades, his contributions have influenced both terrestrial and extraterrestrial robotic systems, earning recognition for bridging theoretical control methods with practical applications. Yuschenko’s legacy is marked by his foresight in integrating adaptive intelligence into robotics, inspiring subsequent generations of researchers in autonomous and collaborative robotics.