Arthur Fender Coelho Bucker

Arthur Fender Coelho Bucker is a PhD student in Robotics at Carnegie Mellon University, where he is a member of the roBOT Intelligence Group (BIG) advised by Jean Oh. His research focuses on self-supervised learning and sample-efficient methods for adapting robotic policies to out-of-distribution scenarios. He is a co-author of the RIO framework for cross-embodiment robot learning and has published work on language-conditioned robot trajectory control, autonomous aerial cinematography, and agentic AI guidance for robot policies at venues including ICRA, IROS, and RSS.