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    Robotics· 2023

    RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

    Anthony Brohan (first author) · 2023

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    arXiv 2307.15818OpenAlex W4385473486

    On the reading lists

    Why it matters

    Established vision-language-action models transferring internet-scale semantic knowledge into robotic actions.

    Condensed from the expert lists' notes.

    The record

    First released
    2023 (from arXiv 2307.15818)
    Citations
    4,794 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Also relevant to
    Computer vision & multimodal
    Score
    0.660 · computed rank 95 · consensus 0.76, must-read 1, citations percentile 0.95 (2020s · robotics), awards 0, existing lists 0. Method

    Editor's notes

    • Readability check: fail: Depends on proprietary models; Diffusion Policy teaches robot learning better. (AI draft (Claude), not yet reviewed, 2026-10-29)

    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.