Papers
11
Total Citations
99
H-Index
7
About
Vugar G. Kurbanov is a leading researcher in the field of smart electromechanical systems (SEMS), with a particular focus on developing the artificial "central nervous system" that enables robots to perceive, decide, and act autonomously. His work bridges cybernetics, logical-mathematical modeling, and group robotics, addressing how SEMS modules—capable of parallel computation and environmental sensing—can achieve coordinated, intelligent behavior. Kurbanov’s major contributions include formalizing decision-making processes through systems of logical equations and interval constraints, allowing robots to resolve conflicts between operator commands, internal states, and environmental conditions. His most cited work, "Smart Electromechanical Systems: The Central Nervous System" (2017, 25 citations), lays the foundation for this paradigm, while subsequent papers (each garnering 8–10 citations) explore image classification, situational control, and safe group interaction. Notably, his research on reducing logical-probabilistic and logical-linguistic constraints to interval constraints offers a practical pathway for synthesizing optimal, safe SEMS. Kurbanov’s achievements provide a critical framework for next-generation autonomous systems, making his work essential for students and engineers interested in the intersection of robotics, artificial intelligence, and control theory.
Research Focus
Key Achievements
Top Papers
- 1Smart Electromechanical Systems: The Central Nervous System25 citations · 2017
- 2Decision-making in Central Nervous System of a Robot10 citations · 2018
- 3Принятие решений в центральной нервной системе робота10 citations · 2018
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- 8Situational Control of the Group Interaction of Mobile Robots7 citations · 2019
- 9
- 10Safe control of SEMS in group interaction4 citations · 2019