Fatma Zada

Arab Academy for Science, Technology, and Maritime Transport

Papers

Total Citations

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About

Fatma Zada is a pioneering researcher in robotics and intelligent control systems, whose work spans from neural-fuzzy hybrid controllers to autonomous mobile robot navigation. Her most influential contribution, "Hybrid Neural Predictive-Fuzzy Controller for Motorized Robot Arm" (2011, 5 citations), introduces an innovative methodology that synergistically combines neural predictive control with fuzzy logic, enabling more adaptive and precise robotic arm manipulation. Zada further advanced the field with her research on "A Navigation Approach for Configuring Distributed Hexagonal Metamorphic Autonomous Mobile Robots" (2014, 2 citations), where she tackled the complex challenge of self-reconfiguring robotic systems composed of hexagonal modules. Her earlier foundational work, "Range Sensory-Based Robot Navigation in Unknown Terrains" (1995, 2 citations), addressed the critical problem of autonomous mobile robots navigating without prior environmental models, relying solely on obstacle detection. Across these studies, Zada has demonstrated a consistent focus on creating intelligent, adaptive systems that operate in uncertain environments. Her research bridges theoretical control design with practical robotic applications, making her contributions valuable for students and researchers interested in intelligent robotics, autonomous navigation, and modular robotic systems.