Mostafa Rostom Ahmed Atia

Arab Academy for Science, Technology, and Maritime Transport

Papers

Total Citations

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About

Mostafa Rostom Ahmed Atia is a researcher advancing the frontiers of autonomous systems and intelligent manufacturing. His work centers on the intersection of robotics, machine vision, and artificial intelligence, with a particular focus on path planning and automation. Atia’s most notable contribution is his 2021 paper, "A lead through approach for programming a welding arm robot using machine vision," which has garnered 18 citations. This work addresses a critical industrial challenge by using computer vision to simplify the programming of welding robots, making them more accessible and efficient for complex manufacturing tasks. He has further explored dynamic path planning for omni-wheeled mobile robots, proposing a ranking-based algorithm selection method for indoor navigation applications like autonomous transportation and surveillance. Additionally, Atia has investigated reinforcement learning for autonomous vehicle navigation, applying Q-learning to path planning in discrete environments. His research demonstrates a clear trajectory from practical industrial robotics to sophisticated, learning-based autonomous systems, making his work valuable for both manufacturing engineers and researchers in mobile robotics.