Pedro H. M. Braga
Papers
2
Total Citations
20
H-Index
2
About
Pedro H. M. Braga is a researcher working at the intersection of reinforcement learning and autonomous robotics, with a particular focus on robot soccer as a testbed for advancing intelligent systems. His work centers on developing open, accessible frameworks that lower the barrier for studying reinforcement learning and sim-to-real transfer — the challenging process of applying policies trained in simulation to physical robots in the real world. Braga's most recognized contribution is the development of simulation frameworks tailored to robot soccer competitions. His 2022 paper introducing rSoccer, which has garnered 13 citations, expanded upon his earlier 2020 VSSS-RL framework (7 citations) to support both Small Size and Very Small Size Soccer leagues. These tools enable researchers to train and evaluate continuous and discrete control policies in structured, competitive multi-agent environments, making them valuable resources for the broader reinforcement learning community. By grounding his research in the well-defined rules of IEEE robot soccer leagues, Braga has created reproducible benchmarks that serve both newcomers and experienced practitioners. His contributions reflect a commitment to open science and practical robotics research, helping bridge the gap between theoretical RL advances and real-world robotic deployment.
Research Focus
Key Achievements
Top Papers
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