Alba Amato

University of Campania "Luigi Vanvitelli"

Papers

Total Citations

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About

Dr. Alba Amato is a leading researcher at the intersection of the Internet of Things (IoT) and multi-agent robotics, with a primary focus on developing intelligent coordination and task scheduling algorithms for collaborative autonomous systems. Her most cited work, "IoT-robotics for collaborative sweep coverage" (2024, 3 citations), makes a significant contribution by formally integrating Task Scheduling (TS) from Multi-Agent Systems (MAS) with Path Finding (PF) techniques. This novel framework provides a versatile, unified solution for complex real-world challenges, including logistics, large-area sweeping and cleaning, and unmanned vehicle surveillance missions. By bridging these traditionally separate domains, Dr. Amato’s research enables more efficient and scalable collaboration among robotic agents. Her work is foundational for advancing the autonomy of robotic fleets, offering practical pathways for deploying coordinated robots in dynamic, unstructured environments. Dr. Amato’s contributions are particularly impactful for students and researchers in robotics and IoT, as her framework provides a clear, actionable blueprint for designing next-generation collaborative systems.