Yagoub MCE

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About

Yagoub MCE is a researcher focused on advancing autonomous underwater robotics, with key contributions in mathematical modeling, intelligent control systems, and vision-based navigation. His work addresses the inherent complexity of underwater robot dynamics, particularly for vehicles equipped with rotating thrusters. In his 2017 paper "Modeling of an Autonomous Underwater Robot with Rotating Thrusters" (4 citations), he developed comprehensive kinematic and dynamic models, implemented in a MATLAB virtual environment, to simulate and control these nonlinear systems. His companion study "Intelligent Control System for Autonomous Underwater Robots with Vision Capabilities" (3 citations) showcases a successfully designed and tested prototype that integrates a fuzzy-based control system for movement with robust image processing algorithms for obstacle detection. This dual-thruster, vision-equipped platform demonstrates Yagoub’s ability to bridge theoretical modeling with practical, real-world deployment. Though his citation counts are modest, his work lays essential groundwork for more adaptive and perceptive underwater vehicles, offering valuable insights for students and researchers in robotics, control systems, and marine engineering.