Maksim Kenzin
Papers
9
Total Citations
47
H-Index
4
About
Maksim Kenzin is a leading researcher in autonomous multi-robot systems, with a primary focus on mission planning for heterogeneous fleets of underwater and mobile robots. His work addresses the critical challenge of coordinating robot teams during complex, large-scale operations under real-world constraints like limited energy, communication, and fuel. Kenzin’s major contributions include developing hybrid evolutionary and hierarchical approaches for multi-objective mission planning, persistent surveillance, and dynamic patrol routing. He has pioneered two-level control schemes that simultaneously optimize task allocation, recharging schedules, and communication windows for heterogeneous robot groups. His most cited paper, “Hybrid Evolutionary Approach to Multi-objective Mission Planning for Group of Underwater Robots” (2015), along with his 2019 work on persistent surveillance with energy constraints, has garnered over 10 citations each, demonstrating significant impact in the field. Kenzin has also advanced situational awareness for distributed teams under limited communication and introduced event-based control for unstructured environments. His research is instrumental in enabling long-duration, autonomous operations for oceanographic, military, and environmental applications, making him a key figure in the evolution of intelligent, self-sufficient robotic fleets.
Research Focus
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