Marcos R. O. de A. Maximo
Papers
1
Total Citations
10
H-Index
1
About
Marcos R. O. de A. Maximo is a leading researcher in robotics and artificial intelligence, with a primary focus on autonomous systems, multi-agent coordination, and reinforcement learning. His most notable contribution is the application of deep reinforcement learning to the IEEE Very Small Size Soccer (VSSS) competition, where he developed a virtual learning framework enabling robots to autonomously learn complex behaviors, such as intercepting the ball on their side of the field. This work, published in 2020 and cited 10 times, demonstrates how AI-driven strategies can replace traditional hand-coded approaches, advancing the field of robot soccer and multi-robot systems. Beyond this, Maximo has contributed to control systems, computer vision, and simulation environments, bridging the gap between theoretical machine learning and real-world robotic applications. His research has practical implications for autonomous navigation, human-robot interaction, and competitive robotics. With his innovative use of deep reinforcement learning in constrained, dynamic environments, Maximo continues to shape the future of intelligent robotics, inspiring students and researchers to explore the intersection of AI and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Deep Reinforcement Learning Applied to IEEE Very Small Size Soccer Strategy10 citations · 2020