Alexander Zuev
Institute of Marine Technology Problems of the Far-Eastern Branch of the Russian Academy of Sciences, Far Eastern Branch of the Russian Academy of Sciences, Far Eastern Federal University, Russian Academy of Sciences, Institute of Automation and Control Processes, Institute of Endocrinology
Papers
19
Total Citations
100
H-Index
5
About
Alexander Zuev is a robotics and control systems researcher whose work spans fault detection and identification, autonomous navigation, and underwater robotics. His research is particularly distinguished by its application of sliding mode observers to diagnose and accommodate faults in complex robotic systems, including robot manipulators and underwater vehicles. His most cited work, "Sliding mode observer based fault identification in automatic vision system of robot" (2023, 23 citations), exemplifies his innovative fusion of computer vision with advanced control theory to enhance robotic reliability. A significant strand of his research addresses the unique challenges of Arctic underwater operations, reflected in his widely recognized work on distributed control and navigation architectures for underwater robotic systems (2021, 17 citations). Zuev has also contributed to spatial path planning using Bézier splines, virtual reality-based human-machine interfaces for industrial robots, and intelligent mission planning for autonomous underwater vehicles. His consistent focus on fault-tolerant control across manipulators, thrusters, and vision systems underscores a unifying commitment to making robotic systems more resilient under real-world uncertainty — work that has earned him growing recognition within the international robotics research community.
Research Focus
Key Achievements
Top Papers
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- 4Method of Spatial Path Planning for Mobile Robot in Unknown Environment6 citations · 2017
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- 6Fault Tolerant Control in Underwater Vehicles5 citations · 2024
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- 9Fault Detection of Actuators of Robot Manipulator by Vision System4 citations · 2017
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