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About

Emna Aridhi is a researcher whose work sits at the intersection of robotics, embedded systems, and intelligent control, with a particular focus on creating autonomous solutions for real-world applications. Her key research areas include Field Programmable Gate Arrays (FPGA) circuit design, fuzzy logic control, and computer vision for agricultural technology. Aridhi has made notable contributions to the development of small robotic prostheses, where she modeled and implemented FPGA-based speed control for DC motors to enable low-power, responsive assistive devices. She has also advanced safe mobile robot navigation by applying fuzzy logic to adapt speed in complex environments, and has optimized hybrid photovoltaic-battery systems for fully self-sufficient autonomous robots. In the agricultural domain, Aridhi created a comprehensive dataset of Deglet Nour date palm bunches to facilitate smart harvesting through branch detection and optimal cutting point localization. Her work, cited across multiple recent publications, demonstrates a clear commitment to bridging theoretical control methods with practical, deployable robotic systems that address challenges in healthcare, energy autonomy, and precision agriculture.