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    Robotics· 2022

    Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

    Michael Ahn (first author) · 2022

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    arXiv 2204.01691OpenAlex W4224912544

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    Why it matters

    Introduced SayCan, grounding language-model plans in feasible robotic skills.

    Condensed from the expert lists' notes.

    The record

    First released
    2022 (from arXiv 2204.01691)
    Citations
    3,967 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.335 · computed rank 516 · consensus 0.24, must-read 0, citations percentile 0.75 (2020s · robotics), awards 0, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.