A. A. Dorodnykh

Papers

Total Citations

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About

A. A. Dorodnykh is a researcher specializing in fuzzy logic systems and their application to robotics and control theory. Their most cited work, "Analysis of Fuzzy Models of Implication in the Task of Controlling a Mobile Robot" (2018, 2 citations), provides a foundational examination of how different fuzzy implication models—including Mamdani, product, drastic product, and algebraic sum—affect mobile robot navigation. Through simulation, Dorodnykh demonstrated that the choice of implication model significantly impacts control performance, identifying optimal configurations for autonomous movement. This contribution bridges theoretical fuzzy mathematics with practical robotics, offering engineers a systematic framework for selecting implication operators in real-time control systems. While their citation count reflects a focused, emerging impact, the work is notable for its rigorous comparative analysis and clear practical recommendations. Dorodnykh's research is particularly valuable for students and practitioners in computational intelligence and robotics, as it clarifies how subtle mathematical choices in fuzzy modeling can dramatically influence real-world robot behavior. Their ongoing work continues to explore the intersection of fuzzy logic and autonomous systems, contributing to the development of more adaptive and intelligent control architectures.