Vitor M.P. dos Santos

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About

Vitor M.P. dos Santos is a leading researcher at the intersection of multi-agent robotics and machine learning, with a core focus on developing tools that bridge the gap between domain expertise and data-driven AI. His most notable contribution is the **BahiaRT Setplays Collecting Toolkit**, a pioneering software platform that enables soccer fans and domain experts to generate realistic, high-quality datasets by watching simulated robot matches. This work directly addresses a critical bottleneck in robotics research: the need for human-informed, common-sense knowledge to train effective machine learning models. By allowing non-programmers to annotate and collect strategic "setplays," dos Santos has democratized dataset creation, accelerating progress in cooperative multi-agent systems. His 2022 paper on this toolkit, along with the complementary **BahiaRT Gym** environment, has already garnered **10 citations**, establishing a foundation for future work in RoboCup and beyond. Through this innovative approach, dos Santos is not only advancing the state of the art in robot soccer but also providing a replicable methodology for any domain where expert knowledge is essential for training intelligent agents.