Lucas H. C. Santos
Papers
1
Total Citations
7
H-Index
1
About
Lucas H. C. Santos is a robotics researcher whose work centers on reinforcement learning (RL) and sim-to-real transfer, with a particular focus on multi-agent systems and robot soccer. His major contribution is the development of the VSSS-RL framework, an open-source platform designed to bridge the gap between simulated training and real-world robot control in the IEEE Very Small Size Soccer (VSSS) league. This framework enables researchers to train continuous or discrete control policies in a simulated environment and then deploy them on physical robots, addressing a critical challenge in robotics. His most-cited paper, "A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer" (2020), has garnered 7 citations, reflecting its growing influence in the RL and robotics communities. Santos’s work is notable for its practical approach to solving the sim-to-real problem, offering a standardized testbed that accelerates research in autonomous decision-making and multi-agent coordination. His contributions are particularly valuable for students and researchers interested in applying RL to real-world robotic systems, making him a key figure in advancing the field of robot soccer and beyond.
Research Focus
Key Achievements
Top Papers
- 1