Robotics· 2022
RT-1: Robotics Transformer for Real-World Control at Scale
DOI 10.15607/rss.2023.xix.025arXiv 2212.06817OpenAlex W4385430679
On the reading lists
- #257 in the Top 500 (2026 edition)
- #13 in Robotics (2026 edition)
Why it matters
Demonstrated large-scale transformer policies trained on diverse real-world robot demonstrations.
Condensed from the expert lists' notes.
The record
- First released
- 2022 (from arXiv 2212.06817)
- Citations
- 3,041 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.479 · computed rank 257 · consensus 0.79, must-read 0.5, citations percentile 0.55 (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.