DatasetFeatured
RoboTwin 2.0
RoboTwin 2.0: scalable dual-arm data generator and benchmark with domain randomization (50 tasks, 5 embodiments, RoboTwin-OD).
growingResearchBest for finetuneBest for evalBimanualUpdated 2026-08-10
DatasetFeatured
RoboMIND (full)
Large multi-embodiment Chinese open robot dataset covering dual-arm and diverse skills.
Why we recommend it
Flagship CN multi-embodiment open dataset
Overview
RoboMIND (full) is a curated dataset on Embodied AI Hub.
Large multi-embodiment Chinese open robot dataset covering dual-arm and diverse skills.
Why it matters: Flagship CN multi-embodiment open dataset
Always verify install pins, licenses, and hardware requirements on the official site before production use.
Who it is for
Builders mapping open embodied stacks; researchers comparing SOTA baselines.
Key highlights
- Large multi-embodiment Chinese open robot dataset covering dual-arm and diverse skills.
- Type: dataset; tags: 数据集, 中国, 多本体, 双臂, 开源
- Hub recommended
When to use
- You need this category of open resource in your stack map
- You are shortlisting baselines before deep evaluation
When not to use
- License or hardware constraints block adoption
- You only need a closed commercial stack with vendor SLA
Getting started
- 1Open the official URL and read the README / model card.
- 2Check license and citation requirements.
- 3Run the smallest official example before scaling.
- 4Cross-link related hub resources for a full pipeline.
Papers & reading
Caveats & pitfalls
- Hub cards are curated summaries — verify upstream docs.
- Stars and release names drift; treat metadata as approximate.
Content reviewed 2026-07-28