Anna Guerra

Marconi University, Institute of Electronics, Computer and Telecommunication Engineering

Papers

Total Citations

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About

Anna Guerra is a leading researcher in autonomous multi-agent systems, with a focus on integrating sensing, navigation, and communication for next-generation robotic networks. Her work primarily addresses the challenges of dynamic radar networks and reinforcement learning for information-seeking missions. In her highly cited 2020 paper, "Dynamic Radar Network of UAVs: A Joint Navigation and Tracking Approach," she pioneered a framework that enables small flying robots to autonomously navigate while simultaneously tracking targets, a breakthrough for applications in surveillance, logistics, and emergency response. This work has garnered 48 citations, underscoring its impact on the field. More recently, in her 2022 study on "Multi-Agent Navigation with Reinforcement Learning Enhanced Information Seeking," Guerra explores how multi-agent teams can use reinforcement learning to optimize navigation in complex, time-critical environments, avoiding single points of failure. Though newer, this work lays crucial groundwork for robust, decentralized coordination. Guerra’s contributions are vital for advancing autonomous systems in hazardous and dynamic settings, making her a key figure in the evolution of intelligent, cooperative robotics.