Mohammed M S Ibrahim

Menoufia University, Arab Academy for Science, Technology, and Maritime Transport

Papers

Total Citations

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About

Mohammed M S Ibrahim is a robotics and control systems researcher whose work sits at the intersection of artificial intelligence, autonomous navigation, and fractional-order control. His most influential contribution, "Gray Wolf Optimization of Fractional Order Control of 3-Omni Wheels Mobile Robot: Experimental Study" (2020, 18 citations), demonstrates a novel integration of bio-inspired optimization algorithms with advanced control theory for omnidirectional mobile robots—machines designed for precise, human-interactive environments. This work is notable for its experimental validation, bridging theoretical control methods with real-world robotic performance. Ibrahim has also explored reinforcement learning for autonomous vehicle path planning, applying Q-learning algorithms to discrete navigation challenges in his 2021 paper (4 citations). His research addresses a critical gap: making autonomous systems more adaptive and accurate in dynamic, human-collaborative settings. By combining swarm intelligence, fractional calculus, and machine learning, Ibrahim contributes to the next generation of mobile robots and self-driving technologies. His work is particularly relevant for researchers interested in intelligent control systems, optimization-driven robotics, and the practical deployment of AI in physical autonomous platforms.