Mostafa Cheragh

Papers

Total Citations

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About

Mostafa Cheragh is a robotics researcher whose work focuses on intelligent navigation for mobile robots operating in uncertain, dynamic environments. His most-cited paper, "Intelligent Mobile Robot Navigation in an Uncertain Dynamic Environment" (2013, 28 citations), introduces a modified sensor-based online navigation method that combines velocity obstacle avoidance with a guidance-based tracking algorithm. A key innovation in this work is the integration of a fuzzy decision maker, which enables the robot to adaptively select optimal paths in real time, even when faced with unpredictable obstacles. This contribution addresses a critical challenge in autonomous robotics: ensuring safe and efficient movement without prior knowledge of the environment. Cheragh’s research sits at the intersection of control theory, artificial intelligence, and sensor fusion, with practical implications for service robots, autonomous vehicles, and industrial automation. His work is particularly valuable for students and researchers exploring reactive navigation strategies, as it demonstrates how fuzzy logic can enhance decision-making under uncertainty. With 28 citations, this paper has served as a foundational reference for subsequent studies in dynamic obstacle avoidance, highlighting Cheragh’s role in advancing practical, real-world robot autonomy.