Vladimir Shabanov
Papers
3
Total Citations
17
H-Index
3
About
Vladimir Shabanov is a leading researcher in the field of multi-agent robotics and distributed intelligence, with a focus on the organization and security of information exchange within coalitions of autonomous mobile robots. His work addresses critical challenges in cooperative robotics, particularly in environments with limited communication and computational resources. Shabanov’s major contributions include pioneering approaches for monitoring oil fields using groups of mobile micro-robots, where preliminary data analysis is performed by a distributed neural network formed by the robots themselves. This innovative method enables efficient, decentralized surveillance under strict energy and bandwidth constraints. Additionally, his research on secure telecommunication networks integrates chaos theory and blockchain technologies to ensure robust, tamper-proof communication among robot coalitions. With over 17 citations across his most-cited works, Shabanov’s impact is evident in advancing both theoretical frameworks and practical applications for swarm robotics. His notable achievements include developing protocols for coalition-based task solving that enhance scalability and resilience, making his work essential reading for researchers in autonomous systems, distributed AI, and secure multi-robot networks.
Research Focus
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Top Papers
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