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About

Dorra Ayedi is a researcher specializing in mobile robotics, with a primary focus on autonomous navigation in complex, dynamic environments. Her work centers on developing intelligent control architectures that enable robots to safely and efficiently avoid both static and dynamic obstacles while tracking moving targets. Ayedi’s major contributions lie in the innovative fusion of fuzzy logic control with other robust techniques. She has pioneered hybrid approaches, such as combining Type-2 fuzzy logic with sliding mode controllers, and integrating multi-agent systems with hierarchical fuzzy control, to enhance robot decision-making in partially unknown settings. Her most cited work, "Fuzzy logic controller for mobile robot navigation to avoid dynamic and static obstacles" (2017, 12 citations), simplifies the Vector Field Histogram method by using safe sectors for efficient path planning. Another key paper, "Hybrid Type-2 Fuzzy-Sliding Mode Controller for Navigation of Mobile Robot in an Environment Containing a Dynamic Target" (2018, 11 citations), demonstrates her ability to merge reactive and deliberative control strategies for target tracking. Through these contributions, Ayedi has advanced the practical application of soft computing in robotics, offering scalable solutions for autonomous systems operating in unpredictable real-world conditions.