Rafika Harrabi

Papers

Total Citations

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About

Rafika Harrabi is a leading researcher in intelligent robotic control and human–robot interaction, whose work bridges robust nonlinear control theory with adaptive, bio-inspired optimization. Her most cited paper, "Hybrid integral sliding mode and fuzzy logic control for omnidirectional robots: modified elephant herding optimization for trajectory tracking" (2025, 5 citations), introduces a novel hybrid framework combining Integral Sliding Mode Control (ISMC) with fuzzy logic, optimized by a modified elephant herding algorithm. This work directly addresses the persistent challenges of trajectory tracking and robust motion control in autonomous systems operating under nonlinear and uncertain conditions. Harrabi also pioneers assistive robotics, as demonstrated in her study "Iris Recognition System Using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robotic Control" (2024, 1 citation), which develops an innovative iris-controlled robot to empower physically disabled individuals with limited mobility. By integrating advanced segmentation and fuzzy clustering, she enables intuitive, hands-free robotic interaction, significantly enhancing quality of life. Her research is characterized by a unique synthesis of sliding mode control, fuzzy systems, and nature-inspired optimization, yielding computationally efficient and robust solutions. With growing citation impact, Harrabi’s work is shaping the future of autonomous navigation and accessible assistive technologies, making her a rising voice in modern robotics and control engineering.