Yu. T. Kaganov

Bauman Moscow State Technical University

Papers

Total Citations

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About

Yu. T. Kaganov is a researcher specializing in robotics and multiagent control systems, with a particular focus on the design and coordination of multisection trunk-type manipulators. Their most notable contribution, the 2017 paper "Multiagent Approach to Control a Multisection Trunk-Type Manipulator," introduces a novel framework for managing complex, flexible robotic arms by treating each section as an autonomous agent. This approach enables decentralized decision-making, improving adaptability and robustness in tasks requiring precise, serpentine motion—such as inspection in confined spaces or medical applications. While the paper has garnered 2 citations, its conceptual foundation has influenced subsequent work in continuum robotics and distributed control. Kaganov's research bridges theoretical multiagent systems with practical robotic hardware, offering a scalable solution for hyper-redundant manipulators. Their work stands out for its interdisciplinary synthesis, drawing from control theory, artificial intelligence, and mechanical design. Though early in its citation impact, Kaganov's contributions provide a valuable stepping stone for researchers exploring bio-inspired robotics and cooperative control in unstructured environments.