Ahmed A. Elgohary

Papers

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About

Ahmed A. Elgohary is an emerging researcher specializing in autonomous robotics and model-free control systems, with a particular focus on Extremum Seeking Control (ESC) and source-seeking algorithms for mobile robots. His work sits at the intersection of control theory and experimental robotics, bridging rigorous mathematical frameworks with real-world validation. Elgohary's most recognized contributions center on the development and experimental validation of novel single-integrator control systems that address longstanding challenges in ESC — most notably reducing oscillatory behavior while achieving faster convergence rates toward unknown signal sources. This is a critical advancement for applications where robots must autonomously locate targets, such as gas leak detection, search and rescue, or environmental monitoring, without relying on predefined models of the environment. His research, accumulating citations across both its theoretical and experimental presentations, demonstrates a commitment to closing the gap between control-affine theory and physical robotic implementation. The experimental rigor of his work strengthens its credibility and applicability within the robotics community. For students and researchers exploring gradient-free optimization, autonomous navigation, or bio-inspired search strategies, Elgohary's contributions offer a compelling foundation for understanding how intelligent robots can efficiently seek objectives in unknown, dynamic environments.