No United States federal standard or rule governs robot training data; one NIST project names datasets as a deliverable
The ledger searched the White House AI Action Plan of July 2025, NIST's AI Risk Management Framework and robotics pages, the National Science Foundation's robotics programs, DARPA's 2026 physical intelligence request and the Congressional record for a federal instrument on robot training data. None exists. NIST's Physical AI and Data Generation for Robotics project lists datasets among its deliverables and has released one of manufacturing objects; that is the whole federal footprint.
The verdict
Absent
The ledger searched and found no instrument. The record says where it looked and when.
Where the ledger looked: Searched on 13 September 2026: the AI Action Plan PDF at whitehouse.gov, text extracted; nist.gov, the AI RMF page and the Physical AI and Data Generation for Robotics project page updated 24 April 2026; nsf.gov, the National Robotics Initiative 3.0 sunset letter NSF 22-081 and the Foundational Research in Robotics page; darpa.mil, the 29 April 2026 rethinking robotics request for information; govinfo.gov for bills naming humanoid robots; whitehouse.gov for any 2026 executive action on robotics.
Key facts
What the sources say
- Record ID
- EAD-2026-0028
- Kind
- Data standard
- Jurisdiction
- United States
- Last verified
- Added
- NIST project page, updated 24 April 2026: develop metrics, test methods, standards, software, prototypes and datasets to promote the adoption of AI enhanced robotics; disseminated a dataset of manufacturing objects and assemblies.
- The AI Action Plan names robotics among physical world innovations and asks for a convening on robotics and drone supply chains; its dataset language is about scientific datasets, not robot training data.
- NSF sunset the National Robotics Initiative 3.0 in May 2022; the successor program page carries no dataset language. DARPA's April 2026 request on physical intelligence has none either.
- The NIST AI Risk Management Framework page does not mention robotics, embodied or physical AI.
What it changes
For a robot maker collecting or buying hours
In the United States the data side of embodied AI is unregulated at the federal level and unfunded as public infrastructure. A maker there answers to state biometric law for the people in the footage, to export controls that do not name the data, and to contract for everything else. The nearest thing to a national data effort is a manufacturing institute's data call, on this ledger as a separate record.
Sources
What this record was verified against
- NIST, Physical AI and Data Generation for RoboticsPrimary · 24 April 2026
- The White House, America's AI Action PlanPrimary · 23 July 2025
- National Science Foundation, sunset of the National Robotics Initiative 3.0, NSF 22-081Primary · 3 May 2022
- DARPA, rethinking robotics with physical intelligencePrimary · 29 April 2026
Related
Records that sit beside this one
The US answer to a training ground is a manufacturing institute's data call: the ARM Institute's AI Data Foundry
United States · verified 13 September 2026
ARM Institute, 5 March 2025: a key barrier to the adoption of AI within robotics for manufacturing is a lack of real, quality data to train AI models.
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.
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.
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.
DROID: 76,000 demonstration trajectories, 350 hours, one robot arm, under CC BY 4.0
United States · verified 13 September 2026
Project page: 76,000 demonstration trajectories or 350 hours of interaction data, 564 scenes, 86 tasks; the paper abstract gives 84 tasks.
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.
Cite this record
Free to reuse under CC BY 4.0, with attribution. The record ID EAD-2026-0028 is permanent and is never reused.
- In a sentence
- According to the GAGE Embodied AI Data Ledger (as of 13 September 2026), no united states federal standard or rule governs robot training data; one nist project names datasets as a deliverable.
- APA
- GAGE (Global Academy of Generative-AI Education). (2026). No United States federal standard or rule governs robot training data; one NIST project names datasets as a deliverable. Embodied AI Data Ledger. Retrieved 13 September 2026, from https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0028-no-us-federal-standard-or-rule-on-robot-training-data
- MLA
- "No United States federal standard or rule governs robot training data; one NIST project names datasets as a deliverable." 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-2026-0028-no-us-federal-standard-or-rule-on-robot-training-data.
- Chicago
- GAGE (Global Academy of Generative-AI Education). "No United States federal standard or rule governs robot training data; one NIST project names datasets as a deliverable." Embodied AI Data Ledger. Last modified 13 September 2026. https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0028-no-us-federal-standard-or-rule-on-robot-training-data.
- Permalink
- https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0028-no-us-federal-standard-or-rule-on-robot-training-data
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