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      "statement": "# Brohan and colleagues: RT-2 vision-language-action robotic control\n\nCo-fine-tuned vision-language models on web data and robot trajectories while representing robot actions as tokens, reporting transfer to new robotic tasks.\n\n## Scientific scope\n\nRT-2 results concern the studied robots, tasks and setups; they do not prove general-purpose real-world robotic reasoning.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nAnthony Brohan; Noah Brown; Justice Carbajal; Yevgen Chebotar; Xi Chen; Krzysztof Choromanski; Tianli Ding; Danny Driess; Avinava Dubey; Chelsea Finn; Pete Florence; Chuyuan Fu; Montse Gonzalez Arenas; Keerthana Gopalakrishnan; Kehang Han; Karol Hausman; Alexander Herzog; Jasmine Hsu; Brian Ichter; Alex Irpan; Nikhil Joshi; Ryan Julian; Dmitry Kalashnikov; Yuheng Kuang; Isabel Leal; Lisa Lee; Tsang-Wei Edward Lee; Sergey Levine; Yao Lu; Henryk Michalewski; Igor Mordatch; Karl Pertsch; Kanishka Rao; Krista Reymann; Michael Ryoo; Grecia Salazar; Pannag Sanketi; Pierre Sermanet; Jaspiar Singh; Anikait Singh; Radu Soricut; Huong Tran; Vincent Vanhoucke; Quan Vuong; Ayzaan Wahid; Stefan Welker; Paul Wohlhart; Jialin Wu; Fei Xia; Ted Xiao; Peng Xu; Sichun Xu; Tianhe Yu; Brianna Zitkovich\n\nComplete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.\n\n\n\n## Original sources\n\n- [Brohan and colleagues: RT-2 vision-language-action robotic control — original paper](https://arxiv.org/abs/2307.15818v1)\n- [Brohan and colleagues: RT-2 vision-language-action robotic control — official research page](https://deepmind.google/blog/rt-2-new-model-translates-vision-and-language-into-action/)\n",
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    "id": "brohan-et-al-rt2-2023",
    "entry_id": "brohan-et-al-rt2-2023",
    "revision": 1,
    "title": "Brohan and colleagues: RT-2 vision-language-action robotic control",
    "context": "Vision-language-action robotics",
    "track": "Human-designed AI research method or resource",
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    "status": "PROVISIONAL_EDITORIAL",
    "assessed_on": "2026-09-27",
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    "achievement_state": "SUPPORTED_SCOPED_RESULT",
    "what_changed": "Co-fine-tuned vision-language models on web data and robot trajectories while representing robot actions as tokens, reporting transfer to new robotic tasks.",
    "scope": "Co-fine-tuned vision-language models on web data and robot trajectories while representing robot actions as tokens, reporting transfer to new robotic tasks. Scope limitation: RT-2 results concern the studied robots, tasks and setups; they do not prove general-purpose real-world robotic reasoning.",
    "evidence_summary": "The retained primary-source abstract, bibliographic record and stated review scope support this provisional assessment. No independent experimental replication by WRS is claimed. RT-2 results concern the studied robots, tasks and setups; they do not prove general-purpose real-world robotic reasoning.",
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      {
        "title": "Brohan and colleagues: RT-2 vision-language-action robotic control — original paper",
        "url": "https://arxiv.org/abs/2307.15818v1",
        "locator": "Abstract and complete bibliographic byline for 2307.15818v1; not an independent proof or experimental replication."
      },
      {
        "title": "Brohan and colleagues: RT-2 vision-language-action robotic control — official research page",
        "url": "https://deepmind.google/blog/rt-2-new-model-translates-vision-and-language-into-action/",
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      }
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