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LeLaN: Learning A Language-Conditioned Navigation Policy from In-the-Wild Videos Apply LeLaN to label over >130h of data collected in real world indoor and outdoor environments, including robot observations, YouTube video tours, and human-collected walking data. Outperforms SotA methods on the challenging zero-shot language-conditioned object navigation tasks while being 4x faster at inference. proj: https://t.co/2nJh8wEAqG abs: https://t.co/AfrQ4gtXng
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"full_text": "LeLaN: Learning A Language-Conditioned Navigation Policy from In-the-Wild Videos\n\nApply LeLaN to label over >130h of data collected in real world indoor and outdoor environments, including robot observations, YouTube video tours, and human-collected walking data.\n\nOutperforms SotA methods on the challenging zero-shot language-conditioned object navigation tasks while being 4x faster at inference.\n\nproj: https://t.co/2nJh8wEAqG\nabs: https://t.co/AfrQ4gtXng",
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