DROID: 76,000 demonstration trajectories, 350 hours, one robot arm, under CC BY 4.0
DROID, released by Stanford with twelve other institutions in March 2024, holds 76,000 demonstration trajectories, or 350 hours of interaction data, recorded on a Franka Panda arm across 564 scenes and 86 tasks, under a Creative Commons Attribution 4.0 license. It is the cleanest open figure the ledger has for how many hours a large academic collection effort yields: three hundred and fifty.
The verdict
Verified
The document exists. The ledger fetched it at its publisher and quotes it.
Key facts
What the sources say
- Record ID
- EAD-2026-0033
- Kind
- Data supply
- Jurisdiction
- United States
- Last verified
- Added
- Project page: 76,000 demonstration trajectories or 350 hours of interaction data, 564 scenes, 86 tasks; the paper abstract gives 84 tasks.
- Paper, arXiv 2403.12945, first submitted 19 March 2024: the full dataset is open sourced under CC BY 4.0.
- Thirteen institutions recorded it on one robot type, which is the opposite design to Open X-Embodiment's pooling of many bodies.
Figures
Every number, with who measured it and when
- 76,000 trajectories
Demonstration trajectories
DROID project page, primary source, as of .
- 350 hours
Hours of interaction data
DROID project page, primary source, as of .
- 564 scenes
Scenes
DROID project page, primary source, as of .
What it changes
For a robot maker collecting or buying hours
Three hundred and fifty hours from thirteen universities is the scale of the open academic supply per project. Against a need estimate in the millions of hours, it says why the money is going into sites that record around the clock, and it is usable commercially, which the largest Chinese set is not.
Sources
What this record was verified against
- DROID project pagePrimary · 19 March 2024
- DROID paper, arXiv 2403.12945Primary · 19 March 2024
Related
Records that sit beside this one
Open X-Embodiment: over a million real robot trajectories from 22 embodiments, pooled from 60 datasets, under CC BY 4.0
Global · verified 13 September 2026
Project page: over one million real robot trajectories, 22 robot embodiments, 60 existing datasets from 34 robotic research labs.
The largest open real robot dataset is Chinese, over a million trajectories, and licensed for non commercial use only
China · verified 13 September 2026
GitHub release notes: Alpha, 92,214 trajectories, 30 December 2024; Beta, 1,003,672 trajectories, about 43.8 terabytes, 1 March 2025.
NVIDIA's synthetic supply: 780,000 trajectories in eleven hours, and an open simulated set of about 273,000
United States · verified 13 September 2026
NVIDIA newsroom, 18 March 2025: 780,000 synthetic trajectories generated in eleven hours; the developer blog of the same day says over 750,000.
No US export rule names robot training data; the AI diffusion rule that reached model weights is under rescission
United States · verified 13 September 2026
BIS, 13 May 2025: rescission of the Biden era artificial intelligence diffusion rule announced, with three guidance actions on advanced computing chips; no mention of datasets or robotics.
US state biometric laws: Washington excludes video recordings from the definition, Texas needs consent for face geometry, and the Illinois text could not be reached
United States · verified 13 September 2026
RCW 19.375.020(1): a person may not enrol a biometric identifier in a database for a commercial purpose without first providing notice, obtaining consent, and providing a mechanism to prevent later use.
A Senate bill, not a law: the Humanoid ROBOT Act of 2025 would order a report on data of US persons obtained through humanoid robots
United States · verified 13 September 2026
S.3275, introduced 20 November 2025: procurement restrictions, CFIUS review, and a report that must cover privacy and data security threats relating to the use of data of United States persons obtained through humanoid robots.
Cite this record
Free to reuse under CC BY 4.0, with attribution. The record ID EAD-2026-0033 is permanent and is never reused.
- In a sentence
- According to the GAGE Embodied AI Data Ledger (as of 13 September 2026), droid: 76,000 demonstration trajectories, 350 hours, one robot arm, under cc by 4.0.
- APA
- GAGE (Global Academy of Generative-AI Education). (2026). DROID: 76,000 demonstration trajectories, 350 hours, one robot arm, under CC BY 4.0. Embodied AI Data Ledger. Retrieved 13 September 2026, from https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0033-droid-dataset-stanford
- MLA
- "DROID: 76,000 demonstration trajectories, 350 hours, one robot arm, under CC BY 4.0." Embodied AI Data Ledger, GAGE (Global Academy of Generative-AI Education), 13 September 2026, https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0033-droid-dataset-stanford.
- Chicago
- GAGE (Global Academy of Generative-AI Education). "DROID: 76,000 demonstration trajectories, 350 hours, one robot arm, under CC BY 4.0." Embodied AI Data Ledger. Last modified 13 September 2026. https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0033-droid-dataset-stanford.
- Permalink
- https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0033-droid-dataset-stanford
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