Chiraz Jabeur Seddik

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About

Chiraz Jabeur Seddik is a researcher whose work lies at the intersection of robotics, artificial intelligence, and control systems, with a particular focus on autonomous navigation. Her most-cited paper, "Smart Navigation of Mobile Robot Using Neural Network Controller" (2018), has garnered 11 citations and introduces a neural network-based controller for non-holonomic mobile robots, enabling them to learn and execute trajectory tracking and obstacle avoidance. This contribution is significant in the rapidly evolving field of autonomous systems, demonstrating how machine learning can enhance robot adaptability and decision-making in dynamic environments. Seddik’s research addresses key challenges in robotics, such as real-time control and safe navigation, by leveraging neural networks to train robots without explicit programming for every scenario. Her work is particularly valuable for students and researchers interested in the practical integration of AI into mobile robotics, offering a foundation for further exploration into intelligent, self-navigating systems. With a focus on bridging theoretical algorithms and real-world applications, Seddik’s contributions highlight the potential of neural controllers to advance autonomous technology in fields like logistics, exploration, and service robotics.