Mateo Guaman Castro

Mateo Guaman Castro is a PhD student in Computer Science and Engineering at the University of Washington, advised by Prof. Byron Boots and Prof. Abhishek Gupta. His research focuses on reinforcement learning and representation learning for fast adaptation and generalization in real-world robotic systems. He is known for his work on vision-language-action models for robot navigation, including the VAMOS project, as well as contributions to large-scale robot manipulation datasets such as DROID and Open X-Embodiment.