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ContextFlow: In-Context Flow Matching for Robot Manipulation

Ding, Jian et al.
arXiv (All) · Papers
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robotics
Although highly effective in vision and language domains, applying in-context learning to robotics remains challenging. Existing autoregressive in-context imitation methods discretize continuous actions and exacerbate the accumulation of early prediction errors through next-token prediction, limitin
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