Robson M. da Silva

Papers

Total Citations

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About

Robson M. da Silva is a researcher in multi-robot systems and artificial intelligence, with a primary focus on coordination, strategic planning, and learning in multi-agent environments. His work centers on enabling robots—particularly in robotic soccer—to execute complex, coordinated setplays through Learning from Demonstration (LfD) and automated planning tools. Da Silva’s major contributions include the development and enhancement of the Strategy Planner (SPlanner) and the FCPortugal Setplays Framework (FSF), which allow teams to design, simulate, and deploy sophisticated offensive and defensive strategies without extensive hand-coding. His most cited papers, including “Generating a dataset for learning setplays from demonstration” and “Strategy Planner: Enhancements to support better defense and pass strategies within an LfD approach,” each have garnered 5 citations, reflecting growing interest in data-driven coordination for multi-robot systems. Additionally, his work on a Petri Net and Multi-Agent System framework for modeling autonomous multi-robot systems demonstrates his broader interest in formal methods for robust, interactive robotic teams. Da Silva’s research is particularly valuable for students and engineers working on cooperative robotics, sports robotics, and scalable multi-agent coordination.