What changed
China is expanding the training infrastructure behind its embodied-intelligence industry, with more than 70 training grounds now operating and over 40 more under construction or planned. An artificial-intelligence company in Zhongguancun says its platform has delivered 1.5 million hours of human-video data, while a Shenzhen wheeled-arm humanoid robot trained on practical data can operate electrical cabinets and industrial valves.
Why it matters
The important shift is from demonstrations to a repeatable industrial loop: real-world training, data accumulation, product improvements and wider deployment. In other words, the robot is learning from messy physical tasks, not only from simulations or laboratory setups.
The scale of the training network matters because embodied systems need varied data to handle varied environments. China identifies three main clusters: the Yangtze River Delta, Beijing-Tianjin-Hebei and the Pearl River Delta. The government is also focusing on industrial, service and specialised applications, alongside standards for the sector.
China reported that its artificial-intelligence core industries exceeded 1.2 trillion yuan in 2025, with more than 6,200 companies. That gives the robotics push a broad industrial base, but the commercial picture is still unfinished: the report does not provide deployment numbers, revenue, operating performance or customer economics.
The near-term test is whether training grounds can turn data into reliable machines that companies can deploy at scale. If that link holds, industrial robots may move steadily from controlled trials into routine work.
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