Aykut Beke

Papers

Total Citations

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About

Aykut Beke is a robotics and intelligent systems researcher whose work bridges fuzzy logic control and human-robot interaction. His research focuses on gesture-based control, autonomous balancing systems, and comparative analysis of fuzzy control architectures. Beke’s most cited paper, “A rule based fuzzy gesture recognition system to interact with Sphero 2.0 using a smart phone” (2017, 8 citations), introduces a novel approach where hand gestures captured via smartphone are interpreted through fuzzy rules to control a spherical robot, enabling intuitive, imitation-based interaction. In “YAFT: A Fuzzy Logic based Real Time Two-Wheeled Inverted Pendulum Robot” (2018, 5 citations), he designed and implemented a custom two-wheeled balancing robot equipped with multiple sensors and processing units, demonstrating real-time fuzzy control for stabilization. His third notable work, “Analyzing the Control Surfaces of Type-1 and Interval Type-2 FLCs through an Experimental Study” (2018, 3 citations), provides empirical evidence on why Interval Type-2 fuzzy controllers outperform Type-1 and conventional PD controllers in managing complex dynamics. Through these contributions, Beke advances practical applications of fuzzy logic in robotics, offering clear experimental validation that informs both control theory and embedded system design.