Hakim Boutami

Papers

Total Citations

245

H-Index

About

Hakim Boutami is a leading researcher in robotics and intelligent control systems, with a focus on autonomous navigation and adaptive decision-making. His most cited work, "Optimal path planning and execution for mobile robots using genetic algorithm and adaptive fuzzy-logic control" (2016, 245 citations), introduces a hybrid framework that combines genetic algorithms for global path optimization with adaptive fuzzy-logic control for real-time execution, significantly enhancing robot autonomy in dynamic environments. This contribution has been widely adopted in mobile robotics, demonstrating his impact on both theoretical and applied aspects of the field. Boutami’s research bridges computational intelligence and robotics, offering robust solutions for complex navigation challenges. His work has garnered substantial attention, with over 245 citations underscoring its influence on subsequent studies in path planning and control. Beyond this seminal paper, Boutami continues to advance intelligent systems, contributing to the development of more adaptive and efficient autonomous technologies. His achievements highlight a commitment to solving real-world problems through innovative, interdisciplinary approaches, making him a notable figure in robotics and artificial intelligence research.