China's data regulator says it will advance embodied AI data standards, twelve days after seven companies asked
On 10 September 2026 the National Data Administration held an embodied AI symposium chaired by its director, Liu Liehong, and said it would advance embodied AI data standards when timely and guide local data authorities. On 29 August seven private companies had asked the same agency for public data infrastructure for embodied AI and common data standards. No standard, draft or timetable has been published.
The verdict
Announced, no document yet
A body has said it will act. No document exists yet, so the row records the statement and nothing more.
Key facts
What the sources say
- Record ID
- EAD-2026-0001
- Kind
- Data standard
- Jurisdiction
- China
- Last verified
- Added
- The 10 September release says the agency will advance embodied AI data standards when timely (适时) and guide local data systems to carry out the work in an orderly way. The word is conditional, not a commitment to a date.
- Speakers named in the release include the Beijing Humanoid Robot Innovation Center, the Shijingshan humanoid data training center, JD Group, and the Institute of Automation of the Chinese Academy of Sciences.
- At the 29 August meeting in Guiyang, seven private firms asked for public data infrastructure for embodied AI, better data standards and token metering rules, and faster building of high quality industry datasets.
- MLex reported the August meeting on 31 August naming three of the firms. The interval between the ask and the regulator's answer is twelve days, not the ten some coverage gives.
Figures
Every number, with who measured it and when
- 7 companies
Private companies at the 29 August meeting that asked for embodied AI data infrastructure
National Data Administration, digital economy private enterprise symposium release, primary source, as of .
What it changes
For a robot maker collecting or buying hours
Nothing binds yet. What has changed is that the body that sets China's data policy has put embodied AI data on its own agenda, at the industry's request, and has said local authorities will be guided. A maker collecting hours in China should expect a standard for that data to come from this agency and from the standards bodies it works with, and should read the two national standard plans already in drafting first.
Sources
What this record was verified against
- National Data Administration, embodied AI symposium releasePrimary · 13 September 2026
- National Data Administration, digital economy private enterprise symposium releasePrimary · 29 August 2026
- MLex, report on the private enterprise meetingSecondary · 31 August 2026
Related
Records that sit beside this one
China's June 2026 dataset action plan names real machine interaction data for embodied AI
China · verified 13 September 2026
Document number 国数科基〔2026〕25号, issued by the National Data Administration, published on its site on 8 June 2026.
China has published a national guiding document on embodied AI data quality for real data, GB/Z 218.1-2026
China · verified 13 September 2026
Status on the national platform: published, effective on publication. Plan number 20252047-Z-469, registered 20 June 2025, under TC28, the national information technology standardization committee.
Two national standards for humanoid robot datasets are in drafting in China, on an eighteen month cycle from June 2025
China · verified 13 September 2026
Plan 20253226-T-604, Humanoid robot datasets, part 1: general principles. Drafters listed include the Beijing automation institute, Tsinghua, the Shenzhen AIRS institute, Galbot and the Shanghai AI research institute.
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.
Open question: are a training ground's recordings important data under Chinese law? No catalog names robot data
China · verified 13 September 2026
The State Council's 2025 regulations define important data at article 62 by field, group, region, precision and scale, and leave the naming to catalogs under article 29.
Hours recorded in China leave the country under the 2024 cross border provisions and the 2025 network data regulations
China · verified 13 September 2026
Cyberspace Administration provisions, article 2: a handler need not declare data for an outbound security assessment as important data unless notified by a department or region or it is publicly listed as such.
Cite this record
Free to reuse under CC BY 4.0, with attribution. The record ID EAD-2026-0001 is permanent and is never reused.
- In a sentence
- According to the GAGE Embodied AI Data Ledger (as of 13 September 2026), china's data regulator says it will advance embodied ai data standards, twelve days after seven companies asked.
- APA
- GAGE (Global Academy of Generative-AI Education). (2026). China's data regulator says it will advance embodied AI data standards, twelve days after seven companies asked. Embodied AI Data Ledger. Retrieved 13 September 2026, from https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0001-china-nda-embodied-ai-data-standards-symposium
- MLA
- "China's data regulator says it will advance embodied AI data standards, twelve days after seven companies asked." 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-2026-0001-china-nda-embodied-ai-data-standards-symposium.
- Chicago
- GAGE (Global Academy of Generative-AI Education). "China's data regulator says it will advance embodied AI data standards, twelve days after seven companies asked." Embodied AI Data Ledger. Last modified 13 September 2026. https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0001-china-nda-embodied-ai-data-standards-symposium.
- Permalink
- https://www.gage.academy/tools/embodied-ai-data-ledger/records/EAD-2026-0001-china-nda-embodied-ai-data-standards-symposium
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