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Actively Resolving Contextual Uncertainty for Underspecified Tasks in Natural Language
Foundation models provide robots with the ability to interpret natural language and reason about environmental context, yet most language-conditioned policies assume that goals are well-specified and that task-relevant information is provided upfront via a prior map. Operating in unfamiliar environm
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