Mabrouk Boubezoula

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About

Mabrouk Boubezoula is a researcher specializing in mobile robotics, autonomous systems, and advanced control theory, with a particular focus on the motion planning and control of nonholonomic mobile robots. His work centers on the innovative application of differential flatness theory combined with intelligent control strategies, notably fuzzy logic, to address complex challenges in robot navigation and trajectory tracking. Boubezoula's most recognized contribution, "Robust-flatness Controller Design for a Differentially Driven Wheeled Mobile Robot" (2018), has garnered 11 citations and demonstrates his commitment to developing robust control frameworks for real-world robotic platforms such as the Pioneer 3-DX. His research consistently bridges theoretical modeling and practical implementation, designing controllers that account for structural constraints and dynamic uncertainties inherent in mobile platforms. His 2021 work on motion planning using flatness and fuzzy logic concepts, along with earlier studies on gain-adjusted fuzzy-flat control strategies, reflects a sustained research trajectory aimed at enhancing autonomous robot performance in operational environments. With a growing body of cited work, Boubezoula is an emerging contributor to the field of intelligent autonomous systems and nonlinear control engineering, offering valuable frameworks for researchers and engineers working on next-generation mobile robotics solutions.