Ayman El‐Sayed

Papers

Total Citations

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About

Ayman El‐Sayed is a researcher focused on advancing autonomous navigation, with a particular emphasis on path planning algorithms for mobile robots operating in complex environments. His most cited work introduces "Straight-Line," a novel global path planning algorithm that addresses the critical challenge of efficient and reliable robot movement within factories, warehouses, and service institutions. By developing a method that optimizes straight-line trajectories, El‐Sayed’s contribution directly enhances the performance of robots tasked with transporting goods or providing services, reducing computational overhead and improving real-time decision-making. This work, published in 2021 and garnering 6 citations, reflects a growing interest in practical, scalable solutions for industrial and service robotics. His research sits at the intersection of robotics, artificial intelligence, and automation, aiming to make autonomous systems more adaptable and efficient in dynamic settings. El‐Sayed’s efforts are particularly relevant as organizations increasingly rely on mobile robots to perform difficult and repetitive tasks, positioning him as a contributor to the next generation of intelligent, self-navigating machines.