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On June 1st, the "YD/T 6770-2026 Artificial Intelligence Key Basic Technology Tailored Intelligence Benchmark Testing Method" approved by the Ministry of Industry and Information Technology was officially implemented, marking a new stage of "standardized" evaluation of embodied intelligence. Not only that, the standard for the full lifecycle management of humanoid robots has also been recently released, ensuring that products can be managed throughout the entire chain through "one machine, one code".
Analysis suggests that the current embodied intelligence industry has entered a critical window period from technology validation to large-scale application. The continuous improvement of relevant standards not only provides a unified measurement basis for the assessment of embodied intelligence capabilities, but also establishes a full lifecycle management mechanism that meets the needs of industrial development.
It is reported that the YD/T 6770-2026 AI Key Basic Technology Embodied Intelligence Benchmark Testing Method has established a unified benchmark testing framework for the embodied intelligence field, standardizing the environment settings, task library construction, testing process, and indicator calculation methods for conducting embodied intelligence benchmark testing in both simulation and real environments.
A trustworthy evaluation system is a bridge and benchmark that connects technology research with large-scale industrial applications. This standard will provide a unified technical specification framework and establish a foundation of mutual trust for the industry. Wei Kai, director of the Artificial Intelligence Research Institute of the China Academy of Information and Communications Technology, said that at the level of technology research and development, this standard provides a unified measurement basis for the assessment of embodied intelligence capabilities, can guide the direction of technology iteration, help the industry identify and focus on high-value technology routes early, and reduce the ineffective investment of research and development resources; At the application implementation level, provide standard and standardized support for product selection and application verification for industry users, avoiding the phenomenon of "bad money driving out good money" in the market.
2026 is a critical stage for embodied intelligence to move from 'development' to 'deployment', "said Zhu Jie, Vice President of Zhiyuan Innovation (Shanghai) Technology Co., Ltd. The standard unifies the evaluation criteria, making different technological routes comparable and measurable within a relatively consistent framework; Secondly, it reduces research and development costs and accelerates the transition of technology from the laboratory to real-world scenarios; The third is to provide support for the large-scale implementation of the industry, guiding the industry to pay more attention to verifiable, reproducible, and deployable real capabilities.
Data shows that by 2025, the number of domestic complete machine enterprises will exceed 140, with over 330 humanoid robot products released and approximately 17000 units shipped.
With the large-scale deployment of humanoid robots, a series of new challenges have emerged. In response to the difficulties in unifying identity coding rules, the existence of public safety hazards, and the blurred division of rights and responsibilities throughout the entire chain in the current industry, the "Norms for the Full Lifecycle Management of Humanoid Robots" standard has recently been officially released. The new standard clearly states that each humanoid robot must have a unique and unchangeable "ID number number" in its entire life cycle from delivery to retirement.
Yu Xiuming, Vice President of the China Electronics Standardization Institute, stated that there are hidden dangers in the development of the humanoid robot industry, such as battery charging and discharging safety, mechanical limb collisions, and loss of control during autonomous operation. The division of responsibilities among multiple parties in human-computer interaction, algorithm upgrades, and accident handling is unclear, which may lead to problems of responsibility shifting and lack of evidence for traceability. Based on the identity code, the standard puts forward requirements for the full lifecycle management of humanoid robot products, including production, circulation, maintenance, and recycling, which can provide reference guidance for humanoid robot product manufacturers, service providers, importers, sellers, users, recycling agencies, regulators, and other relevant parties.
In addition, in February of this year, the national standard system for humanoid robots and embodied intelligence, the "Standard System for Humanoid Robots and Embodied Intelligence (2026 Edition)," was officially released. This system closely follows the current situation and future trends of industrial development, covering the entire industry chain links such as basic commonalities, brain like and intelligent computing, limbs and components, whole machines and systems, applications, and safety, filling the gap in the standard system of humanoid robots and embodied intelligence in China.
The continuous improvement of the series of standards has laid a solid foundation for the long-term stable development of the industry. According to the relevant person in charge of Ubiquitous, taking industrial scenarios as an example, when robots and humans collaborate side by side, safety is the red line that cannot be touched, and it is also the core prerequisite for achieving large-scale implementation. The continuous improvement of relevant standards not only maintains the "safety bottom line" of human-machine collaborative operations, but also builds a complete regulatory framework for embodied intelligent humanoid robots in industrial scenarios, allowing products to have standards, safety to have bottom lines, and data to have a foundation, promoting the large-scale development of the industry to bid farewell to blind trial and error and enter a stage of standardized and benign development.
Zhu Jie stated that the implementation of standards requires adherence to practical verification and dynamic iteration. Enterprises will combine in-depth participation in real scenarios such as industrial, household, retail, and inspection testing and verification in the early stage to promote continuous optimization of standards in rapid evolution. At the same time, actively building a full chain collaborative mechanism, collaborating with governments, industry organizations, research institutions, and application parties, to promote the integration of the "standard testing certification landing" closed-loop.
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