Abdennour Sebbagh

Papers

Total Citations

196

H-Index

About

Abdennour Sebbagh is a leading researcher in robotics and intelligent control systems, with a primary focus on optimizing trajectory tracking and motion control for robotic manipulators. His most influential work, the 2019 paper "Whale optimizer algorithm to tune PID controller for the trajectory tracking control of robot manipulator," has garnered 196 citations, establishing him as a key contributor to bio-inspired optimization in robotics. Sebbagh’s major contribution lies in demonstrating how metaheuristic algorithms—specifically the Whale Optimizer—can significantly enhance PID controller performance for precise, adaptive robotic motion, addressing critical challenges in industrial automation and autonomous systems. His research bridges theoretical optimization with practical control engineering, offering scalable solutions for complex manipulator dynamics. Beyond this landmark study, Sebbagh’s work continues to influence the design of efficient, real-time control strategies, making him a notable figure in the intersection of computational intelligence and robotics. His achievements underscore a commitment to advancing autonomous systems through innovative algorithmic approaches, inspiring both students and researchers exploring the frontiers of intelligent control.