Marcos Santos de Oliveira
Papers
1
Total Citations
2
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1
About
Marcos Santos de Oliveira is a researcher in mobile robotics and autonomous systems, with a primary focus on path planning under resource constraints. His work centers on applying reinforcement learning to solve complex navigation problems, particularly the challenge of route planning with refueling considerations for autonomous vehicles. In his most-cited paper, "Estimação de Parâmetros do Aprendizado por Reforço para o Problema de Planejamento de Rotas com Reabastecimento" (2019), Oliveira developed methods to estimate reinforcement learning parameters specifically tailored for fuel-constrained path planning. This contribution addresses a critical gap in autonomous navigation, enabling vehicles to optimize routes while managing energy limitations. Though his citation count is modest, Oliveira's research lays foundational groundwork for integrating machine learning techniques into practical robotics applications. His work is particularly relevant for students and researchers exploring the intersection of reinforcement learning and autonomous vehicle control, offering insights into parameter estimation that can improve efficiency in real-world deployment scenarios.
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Top Papers
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