Research on policies, regulations, and standards for high-quality embodied AI datasets from a global perspective

doi:10.12267/j.issn.2096-5931.2026.05.009

Information and Communications Technology and Policy ›› 2026, Vol. 52 ›› Issue (5): 69-74.doi: 10.12267/j.issn.2096-5931.2026.05.009

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Research on policies, regulations, and standards for high-quality embodied AI datasets from a global perspective

ZHANG Bojun, FENG Zhifang, XU Wenzhen, LI Wenzhuo

South Institute of CAICT (Shenzhen Academy of Information and Communications Technology), Shenzhen 518035, China

Received:2026-04-20 Online:2026-05-25 Published:2026-05-28

Abstract

Abstract:

This paper focuses on three core dimensions in developing high-quality datasets for embodied AI: data collection and source governance, quality evaluation and assessment mechanisms, and sharing, circulation and application support. It systematically reviews the current status of policies, regulations and standards in major economies worldwide. The European Union has established a compliance baseline through high-level legislation. The United States of America has shaped its technological ecosystem led by leading enterprises. China has promoted systematic development via top-level strategic guidance and standardized layout. Going forward, China should accelerate high-level legislation, improve the quality evaluation standards for embodied AI datasets, strengthen data infrastructure, and refine the data circulation system to support the high-quality development of the embodied AI industry.

Key words: embodied intelligence, high-quality datasets, global perspective, policies and regulations, standard system

CLC Number:

ZHANG Bojun, FENG Zhifang, XU Wenzhen, LI Wenzhuo. Research on policies, regulations, and standards for high-quality embodied AI datasets from a global perspective[J]. Information and Communications Technology and Policy, 2026, 52(5): 69-74.

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http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2026.05.009

http://ictp.caict.ac.cn/EN/Y2026/V52/I5/69

References 7

[1]	中国信息通信研究院. 具身智能发展报告(2025年)[R], 2026.
[2]	李政芸. 人形机器人数据竞争:中国领跑韩国尚起步[N/OL]. 韩联社, 2025-11-09.
[3]	国家标准化管理委员会. 人工智能具身智能数据质量规范:20252047-Z-469[S], 2025.
[4]	全国机器人标准化技术委员会. 人形机器人数据集第1部分:总则:20253226-T-604[S], 2025.
[5]	Open X-Embodiment Collaboration, NEILL A, REHMAN A, et al. Open X-Embodiment: robotic learning datasets and RT-X models[J]. arXiv Preprint, arXiv:2310.08864, 2023.
[6]	YANG R, CHEN H, ZHANG J, et al. EmbodiedBench: comprehensive benchmarking multi-modal large language models for vision-driven embodied agents[J]. arXiv Preprint, arXiv:2502.09560, 2025.
[7]	The White House. Executive order 14179:removing barriers to american leadership in artificial intelligence[EB/OL]. (2025-01-23)[2026-03-30]. https://www.federalregister.gov/documents/2025/01/31/2025-02172/removing-barriers-to-american-leadership-in-artificial-intelligence.

Research on policies, regulations, and standards for high-quality embodied AI datasets from a global perspective

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