Jorge Campos

Papers

Total Citations

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About

Jorge Campos is a researcher focused on advancing coordination and strategic planning in multi-robot systems, with a particular emphasis on robotic soccer. His work centers on developing tools and frameworks that enable robots to execute complex, coordinated plays—known as setplays—without requiring extensive hand-coding by specialists. Campos’s major contributions include the creation and enhancement of the Strategy Planner (SPlanner) and the FCPortugal Setplays Framework (FSF), which allow for the design and execution of sophisticated defensive and passing strategies. He has also pioneered a Learning from Demonstration (LfD) approach to generate datasets for setplay learning, enabling robots to acquire coordinated behaviors from human demonstrations. Additionally, Campos has developed a framework based on Petri Nets and Multi-Agent Systems for modeling autonomous multi-robot systems, addressing challenges in synchronization, cooperation, and human-robot interaction. His most-cited works, including "Generating a dataset for learning setplays from demonstration" (5 citations) and "Strategy Planner: Enhancements to support better defense and pass strategies" (5 citations), reflect his impact on the field of multi-agent coordination. Campos’s research provides foundational tools for advancing autonomous teamwork in dynamic environments.