Amel Zerigui

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About

Amel Zerigui is a researcher specializing in multi-robot systems, with a focus on coordinated control, formation strategies, and intelligent navigation for mobile robots. Her work addresses the critical challenge of enabling groups of autonomous robots to move cohesively and efficiently, particularly in complex or constrained environments. In her highly cited 2010 paper, "Optimized Neuro-fuzzy Coordination for Multiple Four Wheeled Mobile Robots," she pioneered the use of neuro-fuzzy systems to optimize coordination among multiple robots, achieving smoother and more adaptive group behavior. Her complementary study, "Formation and path following for multiple mobile robots," demonstrated how virtual structures can guide a team of robots to follow a desired path while maintaining formation, validated through both simulation and real-world experiments with three mobile robots. Though her citation counts are modest, her contributions are foundational to the field of decentralized multi-robot coordination, offering practical, computationally efficient solutions that continue to inform research in swarm robotics and autonomous vehicle platooning. Zerigui’s work exemplifies the integration of soft computing and control theory to solve real-world robotic challenges.