Carlos specializes in robotics and planning, focusing on applications in persistent monitoring and security games. His work bridges the gap between reinforcement learning, patrolling games, and multi-robot systems.

He is interested broadly in the application of machine learning for robotic control, reinforcement learning applications and embedded AI for robotics.