Federico Celi

University of Pisa, University of California, Riverside

Papers

Total Citations

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About

Federico Celi is a roboticist whose work lies at the intersection of multi-agent systems, autonomous navigation, and human-robot interaction. His research focuses on developing robust coordination strategies for mixed teams of robots and humans, particularly in constrained or unstructured environments. Celi’s most cited work, “Deconfliction of Motion Paths With Traffic Inspired Rules” (2019, 14 citations), introduces a novel framework for resolving motion conflicts in multi-agent systems by adapting traffic-inspired protocols to settings where standard rules do not apply, such as parking lots or crowded spaces. This contribution is critical for enabling safe and efficient navigation in real-world human-robot environments. More recently, Celi has pushed the boundaries of cooperative autonomy into the underwater domain. His 2024 paper, “Exploiting Behaviour Trees in Underwater Autonomous Robotic Networks,” addresses the formidable challenges of communication-limited, deep-sea environments by leveraging behaviour trees to structure decision-making in robotic networks. This work lays the groundwork for deploying advanced, cooperative autonomy at sea, marking a significant step toward practical underwater robotic operations. Celi’s research is shaping the future of resilient, rule-aware multi-robot systems.