
Frame from the Open X-Embodiment dataset, Google DeepMind and the Open X-Embodiment collaboration, CC BY 4.0.
CC BY 4.0
The publisher's licence permits commercial use and redistribution, with attribution. Blanket CC BY 4.0 for the RLDS release. Contributed sub-datasets keep their own terms; check the sub-dataset before commercial use.
gsutil -m cp -r gs://gdm-robotics-open-x-embodiment/bridge .One sub-dataset shown (bridge); replace the last path segment with any name from the publisher's dataset list.
Specification, as published
- Episodes (stated)
- 1,000,000 episodes
- Scale
- 1M+ real robot trajectories spanning 22 robot embodiments
- Task
- Pick & place, Tidying & put-away, Navigation & walking, Other
- Environment
- Indoor – lab, Indoor – home, Indoor – office
- Modality
- RGB, Depth, Proprioception, Actions, Language
- Capture
- Egocentric
- In frame
- Robot hands
- Captured in
- Multiple regions
- Embodiment
- 22 robot embodiments (single arms, bimanual, quadrupeds)
- Formats
- RLDS/TFRecord
- Hosted on
- Google Cloud Storage
Figures are the publisher's own. Kinetic Blocks has not measured this dataset.
About this dataset
Open X-Embodiment pools 60 existing robot learning datasets contributed by 34 research labs into a single RLDS-format collection. It spans 22 robot embodiments, from single arms to bimanual systems and quadrupeds, with 527 skills and over 160,000 task instances. The data is served from a public Google Cloud bucket as one sub-dataset per contributing lab, so buyers can pull only the robots and scenes they need. Note that each contributed sub-dataset keeps its own citation and, in practice, its own original licence.
Publisher's own task names: 527 skills, 160266 tasks, pick, place, open drawer, close drawer, tool use, navigation.
What Kinetic Blocks did, and did not do
Indexed and linked from the publisher. Not hosted, verified or graded by Kinetic Blocks. The publisher's terms govern. The licence shown is the one stated on the publisher's page, linked above. Nothing on this page is a claim by Kinetic Blocks.
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