Aida A. Nasr

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About

Aida A. Nasr is a researcher advancing the frontier of multi-robot systems and autonomous navigation. Her work focuses on solving core challenges in swarm robotics, including task allocation, path planning, and cloud-based coordination. In her highly cited 2022 paper, "A new cloud autonomous system as a service for multi-mobile robots" (6 citations), she proposed a novel framework that leverages cloud computing to manage and assign tasks to multiple robots in real time, addressing the complexity of coordinating large swarms for industrial and commercial applications. Her 2021 work, "Straight-Line: A new global path planning algorithm for Mobile Robot" (6 citations), introduced an efficient algorithm for navigating robots in warehouses and service environments, optimizing routes for goods transport and repetitive tasks. Additionally, her research on "Employment of Task Scheduling based on Water Wave Optimization in Multi Robot System" (2 citations) applies nature-inspired algorithms to solve task scheduling bottlenecks when robots face simultaneous requests. Nasr’s contributions are particularly valuable for students and engineers working on autonomous systems, offering practical solutions that improve efficiency and scalability in real-world robotics.