Hicham Karmouni

Sidi Mohamed Ben Abdellah University, Cadi Ayyad University

Papers

Total Citations

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About

Hicham Karmouni is a pioneering researcher at the intersection of robotics, computer vision, and optimization algorithms. His primary research focuses on developing advanced visual servoing techniques for robot control, where he leverages image-based feedback to enhance robotic precision and autonomy. Karmouni's seminal work, "Image-Based Visual Servoing Techniques for Robot Control" (2022, 14 citations), established foundational methods for extracting visual information from cameras and integrating it into control loops, enabling robots to perform complex tasks with greater accuracy. He further advanced the field with "Image Registration Using the Arithmetic Optimization Algorithm for Robotic Visual Servoing" (2025, 12 citations), introducing a novel intensity-based image registration algorithm that improves robotic movement control using temporal visual data. In a notable interdisciplinary contribution, Karmouni developed the "Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots" (2025, 12 citations), enhancing robot control through bio-inspired optimization. His work has significant implications for automation, logistics, and space exploration, with his most-cited papers collectively garnering 38 citations. Karmouni's innovative fusion of optimization algorithms with visual servoing positions him as a key figure in advancing intelligent robotic systems.