en.Wedoany.com Reported - The Ministry of Industry and Information Technology (MIIT) and the State-owned Assets Supervision and Administration Commission (SASAC) of the State Council jointly issued a notice, officially launching the 2026 special action for real-scene training of humanoid robots and embodied intelligence. The initiative aims to promote the routine deployment, engineering validation, and large-scale implementation of related technologies in real production and living environments, accelerating the formation of an industrial closed loop.
According to the notice, by the end of 2026, key products such as humanoid robots need to complete application validation and routine deployment in a batch of representative scenarios, entering an "operation mode." The action also proposes to consolidate and form over 100 high-value application scenarios, further enriching the application spectrum of embodied intelligence and driving the formation of a ten-thousand-unit scale deployment capability.
A relevant official from the Department of Science and Technology of MIIT stated that China's humanoid robots and embodied intelligence are currently in a critical stage transitioning from laboratories to real-world scenarios, and from demonstration validation to routine operations. Shortcomings still exist in areas such as model algorithms, hardware performance, scenario adaptation, and real-world data accumulation.
The official pointed out that real-scene training is a key lever to overcome these bottlenecks. By establishing training spaces with intensive construction, standardized management, and shared resources, it can effectively avoid redundant scenario construction and resource waste, promote the efficient reuse of scenarios, data, computing power, and technological achievements, significantly reduce enterprise trial-and-error costs, and achieve rapid iterative optimization of products in real environments. This is an important means to drive humanoid robots from being "usable" to "easy to use."
The action focuses on key scenarios in industrial, service, and special fields, deploying six key tasks: building real-scene training spaces, forming innovation application consortia, tackling practical operational skills, strengthening real-scene application validation and routine deployment, reinforcing key element guarantees, and consolidating mature experience.
In terms of building real-scene training spaces, the action will focus on industrial, service, and special fields, targeting application needs for humanoid robots and quadruped robots in key scenarios such as production and manufacturing, inspection and analysis, maintenance and repair, warehousing logistics, catering and retail, medical and healthcare, safety production, emergency rescue, and disaster prevention and mitigation. A batch of real scenario units with clear target requirements, well-defined working conditions, high standardization levels, and economic feasibility will be selected as training space carriers. In terms of forming innovation application consortia, the action supports user units, complete machine enterprises, or application service providers as the main body, collaborating with supply chain enterprises such as model algorithm and component providers, as well as research institutes, to form innovation application consortia for each scenario.
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