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About

Ouafae Hamdoun’s research centers on the kinematic design, control, and trajectory optimization of robotic manipulators—particularly parallel robots and articulated arms. Her most cited work, “Analysis and Optimum Kinematic Design of a Parallel Robot” (2017, 25 citations), systematically explores how parallel mechanisms can outperform serial ones in applications demanding high accuracy, speed, and stiffness. She advances this field by integrating bio-inspired optimization methods, such as the Ant Colony Algorithm for optimal trajectory planning of 3RRR parallel robots, and by developing Adaptive Neuro Fuzzy Inference System (ANFIS) controllers to enhance dynamic response in manipulator arms. Her parametric design studies on two-link robotic manipulators further demonstrate a commitment to improving both structural efficiency and control performance. With a total of 39 citations across her key papers, Hamdoun’s work provides foundational insights for engineers designing high-precision robotic systems in manufacturing, assembly, and automation. Her contributions are particularly valuable for students and researchers seeking to understand how kinematic optimization and intelligent control can bridge the gap between theoretical robot design and real-world performance.