DatasetFeatured
DROID (full release notes)
Distributed robot interaction dataset across many scenes and skills — in-the-wild co-training staple.
76k trajectories (paper)ResearchBest for pretrainBest for finetuneSingle-armUpdated 2026-07-28
Dataset
NYU Door Opening
Real-robot door opening demonstrations used in many multi-task and OXE-style mixtures.
Why we recommend it
Classic real door-opening demos in multi-task mixes
Overview
NYU Door Opening is catalogued on Embodied AI Hub as a curated dataset for embodied AI builders.
Real-robot door opening demonstrations used in many multi-task and OXE-style mixtures.
Why it matters: Classic real door-opening demos in multi-task mixes
Use the official repository and docs as the source of truth for install pins, licenses, and hardware requirements.
Who it is for
Researchers, students, and builders comparing open embodied stacks.
Key highlights
- Real-robot door opening demonstrations used in many multi-task and OXE-style mixtures.
- Type: dataset; categories: dataset
- Catalogued for coverage completeness
When to use
- You are mapping the open embodied AI landscape
- You need a starting URL and judgment note before deep-diving
When not to use
- You need production SLAs or certified industrial support only
- License or hardware constraints are incompatible with your deployment
Getting started
- 1Open the official URL and read README install pins.
- 2Skim license and citation requirements.
- 3Run the smallest official example before scaling experiments.
- 4Cross-link related hub resources (sim / data / policy) for a full stack.
Caveats & pitfalls
- Hub cards are curated summaries — always verify upstream docs.
- Stars and dates drift; treat extra.stars as approximate.
Content reviewed 2026-07-28