Noureddine Guersi

Papers

Total Citations

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About

Dr. Noureddine Guersi is a researcher specializing in industrial robotics, intelligent control systems, and fault-tolerant automation. His work centers on enhancing the reliability and safety of robotic manipulators through advanced computational intelligence. His most cited paper, "Supervision of industrial manipulators using ANFIS system" (2017), introduces a hybrid neuro-fuzzy approach for real-time fault detection and control reconfiguration in two-degree-of-freedom robots. This contribution addresses the critical challenge of viscous friction faults at robot joints, ensuring uninterrupted operation even under failure conditions. With a citation count of 3, this work has laid foundational insights for adaptive supervision in industrial settings. Dr. Guersi’s research bridges the gap between theoretical control methods and practical robotic applications, emphasizing robust, self-healing systems. His achievements reflect a commitment to advancing automation safety and efficiency, making his work valuable for students and engineers exploring fault diagnosis, adaptive control, and intelligent system design in manufacturing and robotics.