Mohamed Elamine Hedroug

Centro Universitário Curitiba, Ziane Achour University of Djelfa

Papers

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About

Mohamed Elamine Hedroug is an emerging researcher specializing in intelligent control systems and autonomous mobile robotics. His work sits at the intersection of fuzzy logic, predictive control, and nonholonomic robot dynamics, with a particular focus on developing robust trajectory tracking methodologies for wheeled and differential-drive mobile robots. Hedroug's most notable contributions center on the design of fuzzy predictive controllers that elegantly address the inherent challenges posed by linear model limitations in nonholonomic systems. His 2023 paper on differential-drive mobile robots introduced an innovative hybrid strategy combining fuzzy logic with predictive control frameworks, a methodology he further refined in his 2024 work targeting complex multi-path reference trajectories. Both publications have garnered 3 citations each, reflecting a growing recognition within the robotics and control engineering community. What distinguishes Hedroug's research is its practical orientation — his controllers are designed for real-world scenarios where robots must seamlessly navigate successive and distinct paths within a unified reference trajectory. For students and researchers entering mobile robotics or advanced control theory, his work offers accessible yet technically rigorous frameworks that bridge classical predictive control with soft computing techniques, making it a valuable reference point in the evolving landscape of intelligent autonomous systems.