Papers
10
Total Citations
54
H-Index
5
About
Siarhei Autsou is a researcher specializing in robotics, automation, and electromechanical control systems, with particular expertise in fault diagnosis, servomotor control, and industrial robot optimization. His work spans both theoretical foundations and practical applications, making significant contributions to the reliability and performance of automated manufacturing systems. Autsou's most impactful contribution to date is his comprehensive 2024 review of servomotor control principles and methods, which has rapidly accumulated 15 citations, reflecting strong community interest in this foundational survey. A substantial portion of his research portfolio focuses on fault diagnosis in Cartesian robots, particularly involving tooth belt transmission failures — a series of studies published in 2022 that collectively demonstrate his systematic approach to condition monitoring and early fault detection in industrial robotic systems. His earlier work explored optimal control strategies for galvanic line manipulators, applying Bellman dynamic programming and field-oriented control (FOC) to minimize oscillation and improve operational efficiency in electroplating environments. More recently, his 2025 review on fuzzy logic applications in collaborative robot control signals a forward-looking interest in adaptive, uncertainty-resilient control methods for human-robot interaction. With over 50 cumulative citations, Autsou's research offers valuable contributions to both robotics diagnostics and intelligent control system design.
Research Focus
Key Achievements
Top Papers
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- 3Fault Diagnosis of the Tooth Belt Transmission of Cartesian Robot6 citations · 2022
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- 7Application of Fuzzy Logic for Collaborative Robot Control3 citations · 2025
- 8Fault Diagnosis System of Cartesian Robot for Various Belt Tension3 citations · 2022
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