Robotics· 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
On the reading lists
- #95 in the Top 500 (2026 edition)
- #2 in Robotics (2026 edition)
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.