RT-3: Scaling Robot Foundation Models via Multitask Learning

摘要

We present RT-3, a scaled robot foundation model trained on diverse multitask data spanning manipulation, navigation, and locomotion. RT-3 demonstrates strong zero-shot generalization to novel objects and environments, achieving state-of-the-art performance across 50+ real-world robot tasks with a single unified policy.