About

Vladimir Filaretov is a distinguished Russian robotics and control systems researcher whose career spans more than three decades of foundational contributions to robotic manipulation, fault diagnosis, and autonomous systems. His early work in the 1990s established robust mathematical frameworks for robotic manipulator dynamics, including a screw-theory-based unified modelling approach and methods for static balancing and dynamic decoupling, laying critical groundwork for modern robot design. Filaretov became particularly recognized for his pioneering research in fault diagnosis for manipulation robots, developing both observer-based and parity relation approaches that collectively attracted over 50 citations and remain influential references in robotic safety and reliability engineering. His contributions extended naturally into adaptive control, with a notable 2008 paper proposing sensorless force/position control systems for robot manipulators, eliminating the need for costly additional hardware. In later years, Filaretov broadened his scope to encompass mobile robotics, mechatronics motion planning using parametric splines, and Bezier-curve-based path planning in dynamic environments. His 2021 work on digital platforms for Arctic underwater robotic systems highlights his engagement with cutting-edge, high-stakes applications. Through educational initiatives like the AMUR mobile robot program, he has also meaningfully shaped the next generation of robotics engineers, cementing a legacy that bridges rigorous theory and real-world innovation.

Research Focus

Key Achievements

8
H-Index
38
Papers
271
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Observer-based fault diagnosis in manipulation robots
27 citations · 1999
📈 Most Prolific Year: 2015 (7 Papers)
🤝 Key Collaborators: 41
🏛 Institutions: Far Eastern State Technical Fisheries University, Far Eastern Federal University, Russian Academy of Sciences, Institute of Automation and Control Processes, Far Eastern University, Far Eastern Branch of the Russian Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago