RDT-1B is a diffusion foundation model that unifies action spaces across robots and demonstrates superior bimanual manipulation with zero-shot generalization, language following, and few-shot learning on real robots.
Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks
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RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
RDT-1B is a diffusion foundation model that unifies action spaces across robots and demonstrates superior bimanual manipulation with zero-shot generalization, language following, and few-shot learning on real robots.