A Steerable Model with Emergent Capabilities

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Introduced π0.7, a general-purpose robotic model exhibiting compositional generalization. Key technical contributions include: training with diverse multimodal prompts (language, metadata, control modalities, visual subgoals) to specify task execution 'how-to', enabling the model to leverage broad data sources and recombine skills for novel tasks. Demonstrated specialist-level dexterity and cross-embodiment transfer without fine-tuning.