Heitor R. Medeiros
Papers
1
Total Citations
7
H-Index
1
About
Heitor R. Medeiros is a researcher working at the intersection of robotics, reinforcement learning, and autonomous systems, with a particular focus on the challenges of transferring learned behaviors from simulation to real-world environments — a problem widely known as sim-to-real transfer. His most notable contribution is the development of VSSS-RL, an open framework introduced in 2020 that provides a structured environment for training and evaluating reinforcement learning agents within the context of robot soccer, specifically the IEEE Very Small Size Soccer (VSSS) league. This work addresses a critical bottleneck in robotics research by enabling researchers to train both continuous and discrete control policies in simulation before deploying them on physical hardware, significantly reducing the cost and complexity of experimentation. With 7 citations, his framework has begun attracting attention from the robotics and machine learning communities as a reproducible and accessible platform for benchmarking RL approaches. Medeiros' work reflects a broader commitment to open science and community-driven research tools, making advanced robotics experimentation more accessible to students and early-career researchers exploring autonomous multi-agent systems.
Research Focus
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Top Papers
- 1