Radhwane Sadouni

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About

Radhwane Sadouni is a robotics researcher whose work focuses on intelligent control systems for autonomous mobile robots, particularly differential drive platforms. His most-cited paper, "Comparison Between Fuzzy and Non-fuzzy Ordinary If–Then Rule-Based Control for the Trajectory Tracking of a Differential Drive Robot" (2022, 9 citations), provides a rigorous comparative analysis of fuzzy logic versus conventional rule-based control strategies. This study demonstrates how fuzzy control can enhance trajectory tracking accuracy and robustness in non-linear robotic systems, offering practical insights for real-world autonomous navigation. Sadouni’s contributions lie at the intersection of control theory and artificial intelligence, where he explores how soft computing techniques can improve robot performance in uncertain environments. His work is valuable for researchers and engineers developing more adaptive and reliable mobile robots for applications ranging from industrial automation to service robotics. By systematically evaluating control methodologies, Sadouni helps advance the design of smarter, more responsive autonomous systems.