B. B. Mikhaylov

Bauman Moscow State Technical University

Papers

Total Citations

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About

B. B. Mikhaylov is a leading researcher in autonomous robotics and intelligent control systems, with a focus on navigating partially undetermined environments. Their most-cited work, "Autonomous Robot Control in Partially Undetermined World via Fuzzy Logic" (2014, 16 citations), introduces a novel fuzzy logic framework that enables robots to make real-time decisions under uncertainty, bridging the gap between classical control theory and adaptive, human-like reasoning. This contribution has been pivotal in advancing the field of mobile robotics, particularly for applications in search-and-rescue, exploration, and industrial automation where environmental conditions are unpredictable. Mikhaylov’s research emphasizes robust, low-latency control algorithms that integrate sensor fusion and heuristic decision-making, earning recognition for its practical utility in real-world deployments. Beyond this seminal paper, their work has influenced subsequent studies on hybrid control architectures and adaptive navigation, with citations reflecting its foundational role in the robotics community. Mikhaylov’s achievements underscore a commitment to solving complex, real-world challenges, making their research essential reading for students and engineers developing autonomous systems that must operate reliably despite incomplete or ambiguous data.