Samira Chouraqui

Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf

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About

Dr. Samira Chouraqui is a leading researcher in robotics and control systems, with a primary focus on model-free control strategies and the integration of computer vision with robotic manipulation. Her most influential work, "On the control of robot manipulator: A model-free approach" (2019), has garnered 59 citations, establishing a foundational framework for controlling complex robotic systems without relying on explicit dynamic models—a critical advancement for adaptive and robust automation. Building on this, her recent 2024 study on "Trajectory Tracking of a Robot Arm Using Image Sequences" pioneers a novel fusion of deep learning and geometric methods, combining convolutional neural networks (CNNs) with Spline3 interpolation to enable precise trajectory planning from visual data. This work bridges the gap between perception and action, allowing robots to track moving targets using only camera input. Dr. Chouraqui’s contributions are particularly impactful in industrial and service robotics, where model-free approaches reduce dependency on costly system identification. Her research continues to push the boundaries of autonomous manipulation, offering scalable solutions for real-world applications.