Papers
9
Total Citations
48
H-Index
4
About
A. P. Nelyubin is a leading researcher in the field of multi-robot systems, specializing in multicriteria adaptation, control, and design of robotic groups. Their work focuses on developing bio-inspired and dominance-based approaches to enable heterogeneous robot teams to dynamically adapt to unknown and volatile environments. Nelyubin’s major contributions include a novel multicriteria framework that replaces traditional human decision-maker preferences with automated preference determination, allowing robotic groups to self-optimize for tasks like cargo transportation and search-and-rescue. Their most-cited paper, "Multicriteria adaptation of robotic groups to dynamically changing conditions" (2017, 10 citations), introduces a groundbreaking method for designing complex robotic systems that can operate under diverse conditions. Another highly cited work, "Multicriteria Approach to Control a Population of Robots to Find the Best Solutions" (2019, 10 citations), further advances the field by applying partial domination principles to heterogeneous group control. Nelyubin’s research has also explored modular robot configurations and spider-robot kinematics, demonstrating a broad impact with over 48 total citations. Their interdisciplinary approach, blending multicriteria analysis with robotics, has significant implications for autonomous systems in logistics, exploration, and disaster response.
Research Focus
Key Achievements
Top Papers
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- 6Multicriteria adaptation principle on example of groups of mobile robots4 citations · 2017
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- 9The Hexabot Robot: Kinematics and Robot Gait Selection2 citations · 2022