Mikhail A. Kakanov

Deggendorf Institute of Technology, ITMO University

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About

Dr. Mikhail A. Kakanov is a leading researcher in the fields of intelligent robotics, nonlinear control theory, and cyber-physical systems. His work is distinguished by a focus on bridging advanced theoretical frameworks with practical, real-world robotic applications. Dr. Kakanov’s most impactful contribution is the development of **predictive reinforcement learning**, a novel approach for map-less navigation in mobile robots, which has garnered significant attention (8 citations). He has also made critical advances in robust control, particularly for robot arms actuated by permanent magnet synchronous motors (PMSMs), where he demonstrated that an enhanced extended observer design can achieve semiglobal practical stability for precise trajectory tracking (6 citations). His research extends to marine cyber-physical systems, where he has developed robust output control with anti-windup compensation for dynamic positioning of robotic boats, validated through extensive experimental testing (2 citations). By consistently proving stability and performance in complex, safety-critical environments, Dr. Kakanov’s work is establishing new standards for resilient and autonomous robotic systems.