Tayib Samu

Papers

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About

Tayib Samu is a pioneering researcher in autonomous mobile robotics, with a focus on computer vision and intelligent control systems. His work centers on developing robust navigation and guidance mechanisms for automated guided vehicles (AGVs) and mobile robots, addressing critical challenges in manufacturing, medicine, and defense. Samu’s most notable contribution includes a comparative study of three methods for 3-D line-position measurements used in vision-guided robot navigation, where he developed a model mapping 3-D ground points to image points using homogeneous coordinates. This foundational work, published in 2000, has garnered 3 citations and remains relevant for researchers in autonomous navigation. Earlier, in 1997, Samu explored fuzzy logic control for AGV steering, designing a modular autonomous mobile robot controller that demonstrated the potential of soft computing in real-time robotic applications. His research bridges theoretical modeling and practical implementation, offering insights into sensor-based navigation and intelligent decision-making. Though his citation counts are modest, Samu’s contributions are valuable for students and engineers entering the field of mobile robotics, providing early frameworks that influenced later advancements in autonomous vehicle guidance and control systems.