Anton Kotsenko

Bauman Moscow State Technical University

Papers

Total Citations

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About

Anton Kotsenko is a rising researcher at the forefront of artificial intelligence and robotics, whose work centers on the innovative application of mivar technologies. His primary research areas include autonomous robot navigation, knowledge base construction, and logical inference systems. Kotsenko’s major contributions lie in developing methods for three-dimensional route planning that enable robots to navigate complex environments while accounting for obstacles, a critical step toward more autonomous systems. His 2024 paper on this topic has already garnered 6 citations, reflecting its growing influence. Additionally, he has advanced the field of smart agriculture by leveraging large language models to automatically create knowledge bases for crop management, a paper with 4 citations that addresses the need for adaptive systems in agricultural automation. Kotsenko has also pioneered techniques for automated search of multiple logical inferences within mivar knowledge bases, enhancing the efficiency of reasoning in three-dimensional logic spaces. His work is notable for its practical focus on bridging the gap between theoretical AI and real-world robotic applications, making him a promising figure in the development of next-generation intelligent systems.