China’s six agencies reportedly promote embodied intelligence and other technologies in elder care

On Nov. 6, 2026, leaderobot.com reported that six Chinese agencies — the Ministry of Civil Affairs, the National Development and Reform Commission, the Ministry of Industry and Information Technology, the Ministry of Commerce, the State Administration for Market Regulation and the Office of the China National Committee on Aging — jointly announced measures including efforts to promote consumption of products for older adults. According to the article, the measures identify embodied intelligence, large language models, brain-machine interfaces and exoskeletons as technologies to be prioritized, and aim to promote their use in real-world elder care through national major science and technology projects.

The reported measures signal an approach to connecting four types of technology, including embodied intelligence, with elder care settings. For facilities and businesses weighing adoption, it will be important not only which technologies are designated, but also whether implementing organizations, safety requirements and operating conditions are spelled out.

The focus of the report is not the adoption of a single product in care facilities, but a policy direction linking different technology groups — embodied intelligence, large language models, brain-machine interfaces and exoskeletons — with elder care use cases. The article identifies national major science and technology projects as a driver of adoption, suggesting a policy link between the technologies and implementation. However, the reported announcement does not mean that any individual technology has been put into practical use or adopted by facilities. Structurally, the same framework encompasses exoskeletons and robots that support physical movement, large language models that enable natural-language responses, and brain-machine interfaces. In elder care, the people and needs being supported and the operating conditions vary by technology. Treating them simply as a shared category of “technology adoption” can make it difficult to assess their roles in care settings and how safety should be evaluated. The report also mentions everyday use cases such as medication reminders and fall detection, but the text provided does not make clear whether these are specific measures in the policy or examples from the article. The approach of promoting these technologies through national major science and technology projects is presented as a framework connecting research and development with real-world use. However, the text of the report does not specify funding, implementing organizations, timelines, eligible facilities, procurement methods or performance indicators. Going forward, issues will include how the applicable scope of each technology is defined, as well as how user consent, personal data management, liability in the event of an accident and safety verification are incorporated into policy and operations. It is important to distinguish the policy designation of target technologies from the creation of systems that can be used continuously in care settings.