Papers
13
Total Citations
134
H-Index
6
About
Aleksey Kabanov is a robotics and autonomous systems researcher whose work spans marine robotics, robotic manipulation, and intelligent control systems. He has made significant contributions to the development of Marine Internet of Things (MIoT) platforms, advancing interoperability frameworks for heterogeneous marine robotic agents including autonomous underwater vehicles — work that has garnered 53 citations and established him as a notable voice in underwater robotics architecture. His research on anthropomorphic manipulators, particularly involving the SAR-400 and SAR-401 robot series, has advanced neural network-based solutions for inverse kinematics problems, earning 24 citations and demonstrating practical approaches to complex robotic arm control. Kabanov has also produced foundational work in collision detection and avoidance for dual-arm cooperative robots, employing both linear algebra techniques and neural network approaches to ensure safe multi-manipulator operation. His investigations into underwater dual-arm robot control systems and stereo vision-based object detection further underscore his commitment to real-world underwater robotics applications. Beyond research, Kabanov has contributed to engineering education through international university network initiatives in mechatronics and robotics. Collectively, his body of work reflects a consistent focus on bridging theoretical robotics with practical autonomous system deployment.
Research Focus
Key Achievements
Top Papers
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- 5Modeling and testing of control system for an underwater dual-arm robot6 citations · 2020
- 6The modeling of an anthropomorphic robot arm6 citations · 2018
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- 9Self-collision Avoidance Method for a Dual-arm Robot5 citations · 2019
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