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A generalist policy refers to a robot policy model pretrained on multiple tasks and scenarios that can be transferred to new instructions, usually based on a vision-language-action (VLA) architecture; existing generalist policies often can only achieve per-task fine-tuning after pretraining, and true zero-shot generalization remains an open problem.
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10/13/2026
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