Caroline Souza

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About

Caroline Souza is a researcher in multi-agent systems and robotics, with a primary focus on strategic coordination in robotic soccer. Her work centers on developing tools and methodologies for designing setplays—coordinated, pre-planned maneuvers that enable teams of robots to execute complex strategies autonomously. Souza's major contributions include the Strategy Planner (SPlanner) and the FCPortugal Setplays Framework (FSF), a toolkit that simplifies the creation and deployment of sophisticated setplays for multi-robot systems. She has advanced the field by integrating Learning from Demonstration (LfD) approaches, allowing robots to learn strategic behaviors from human demonstrations rather than requiring hand-coded instructions. Her 2021 paper on generating datasets for learning setplays from demonstration, along with her 2020 work on enhancing SPlanner for better defense and pass strategies, each have accumulated 5 citations, reflecting their foundational role in this niche area. Souza's research bridges the gap between theoretical multi-agent coordination and practical, real-world robotic applications, making her work particularly valuable for students and researchers interested in cooperative robotics, sports analytics, and autonomous decision-making.