Reviewed relationships 2
Verified
Octo Model trained on Open X-Embodiment
Scope published training mixture
Boundary The paper states 800k trajectories from Open X-Embodiment.
Verified
OpenVLA 7B Model trained on Open X-Embodiment
Scope published training mixture
Boundary The paper states 970k real-robot episodes from Open X-Embodiment.
Canonical evidence claims 12
Claims are projected from authored tables. A dash remains an explicit missing value; it is never filled from a neighboring product or name match.
Robotics benchmarks — suite identity, not a ranking Robot Training Corpus 12 rows · 1 declared gap
| Metric | Value and evidence |
|---|---|
| Claim boundary | abstract uses 21 institutions; body uses 34 labs / 60 datasets. Both stay attributed. Not an evaluation suite [R24] |
| Embodiment in the source | 22 embodiments: single arms, bi-manual robots, and quadrupeds [R24] |
| Engine / renderer | RLDS / OXE distribution [R25] |
| First public date | arXiv 2023-10-13 [R24] |
| Kind | multi-embodiment robot-learning dataset pool [R24] |
| Language-conditioned | language annotations vary by constituent dataset [R24] |
| Medium | real robot trajectories pooled from many datasets [R24] |
| Paper | arXiv:2310.08864 [R24] |
| Primary metric family | pretraining corpus; not an eval leaderboard [R24] |
| Public code | yes — official project publishes the dataset [R25] |
| Public leaderboard | Declared gap |
| Published scale | 1M+ trajectories; 22 embodiments; 60 datasets; 34 labs; 527 skills; 160266 tasks (body). Abstract: 22 robots, 21 institutions, 527 skills, 160266 tasks [R24] |
Source ledger 4
- [R24]ResearchOpen X-Embodiment — “Open X-Embodiment: Robotic Learning Datasets and RT-X Models”. Type: research paper. ID: arXiv:2310.08864. Retrieved: 2026-09-03.
- [R25]ResearchOpen X-Embodiment — official project site. Type: research project page. Retrieved: 2026-09-03.
- [R2]ResearchKim et al. — OpenVLA: An Open-Source Vision-Language-Action Model. Type: research paper. ID: arXiv:2406.09246. Venue: CoRL 2025. Retrieved: 2026-08-29.
- [R4]ResearchOcto Model Team — Octo: An Open-Source Generalist Robot Policy. Type: research paper. ID: arXiv:2405.12213. Retrieved: 2026-08-29.
What is not inferred
No fuzzy entity matching, adjacent-column borrowing, universal compatibility, commercial maturity, or checkpoint-to-product identity. Absence of a relation means unreviewed or unsupported here—not proven incompatibility.