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About

Inssaf Harrade is a rising researcher in robotics, specializing in visual servoing and intelligent control systems. Her work focuses on integrating computer vision with robot control, using advanced optimization algorithms to enhance precision and overcome traditional limitations. Her most-cited paper, "Image-Based Visual Servoing Techniques for Robot Control" (2022, 14 citations), provides a comprehensive comparison of geometric primitive-based methods, establishing a foundation for her subsequent innovations. She introduced a novel intensity-based image registration algorithm using the Arithmetic Optimization Algorithm (2025, 12 citations), enabling robots to control movement more accurately from visual data. Harrade also addresses the singularity problem in planar robots with metaheuristic approaches, as seen in her work on 3R robots (2023, 3 citations) and four-degree-of-freedom systems using the Sine Cosine Algorithm (2022, 2 citations). Her contributions are particularly notable for applying nature-inspired algorithms—like the Arithmetic Optimization Algorithm—to real-time robotic control, offering computationally efficient solutions that avoid complex geometric modeling. With a growing citation record and a focus on practical, high-accuracy robot guidance, Harrade is establishing herself as an innovator at the intersection of optimization and robotics.