Emam Fathy Mohamed

Arab Academy for Science, Technology, and Maritime Transport

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About

Dr. Emam Fathy Mohamed is a leading researcher in multi-robot systems and autonomous navigation, with a primary focus on intelligent path planning and obstacle avoidance. His most cited work, "An improved Tangent Bug method integrated with artificial potential field for multi-robot path planning" (2011, 33 citations), makes a significant contribution by addressing a critical limitation of the artificial potential field (APF) approach—its tendency to trap robots in local minima. By integrating the wall-following concept of the Tangent Bug algorithm, Dr. Mohamed’s method enables multiple robots to navigate complex environments more reliably, avoiding dead ends while maintaining real-time performance. This work has been foundational for researchers developing robust, decentralized robotic systems. Beyond this paper, his research spans cooperative control and sensor-based navigation, with a cumulative impact reflected in over 100 citations. Dr. Mohamed’s innovations are particularly valuable for applications in search-and-rescue, warehouse automation, and autonomous exploration, where efficient, collision-free multi-robot coordination is essential. His work continues to inspire new approaches in intelligent robotics.