Saloua Belhaj Ali Naoui

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About

Saloua Belhaj Ali Naoui is a researcher whose work lies at the intersection of robotics, control systems, and fuzzy logic. Her primary research focus is on the intelligent navigation and control of complex mobile robotic systems, particularly those involving articulated structures. Her most cited work, "Fuzzy control of a mobile robot with two trailers" (2012, 5 citations), exemplifies her key contribution: developing robust, sensor-based control strategies for non-linear systems. In this influential paper, she proposed a novel fuzzy logic approach that enables a truck-like robot with two trailers to navigate stably, reach predefined targets, and avoid obstacles using only partial state feedback. This work addresses a fundamental challenge in robotics—controlling highly articulated, underactuated systems with limited sensor data—and demonstrates the power of fuzzy logic to create adaptive, real-time solutions. While her citation count reflects a focused, emerging impact, her research offers a practical and innovative pathway for autonomous vehicle control, particularly in applications like automated towing and warehouse logistics. Naoui’s work is a valuable resource for students and engineers exploring intelligent control in non-holonomic robotic systems.