Li Chao, deputy director of the policy research office at the China State Planner, said at the agency's August briefing the body will prioritize practical steps to accelerate embodied intelligence deployment by building training fields and pilot application bases to iterate robotics and embodied-AI in real scenarios. The planner will coordinate training-site construction and strengthen supply of data, models and standards: build high-quality real-device data collection systems to ease training-d

2026-08-28

Li Chao, deputy director of the policy research office at the China State Planner, said at the agency's August briefing the body will prioritize practical steps to accelerate embodied intelligence deployment by building training fields and pilot application bases to iterate robotics and embodied-AI in real scenarios. The planner will coordinate training-site construction and strengthen supply of data, models and standards: build high-quality real-device data collection systems to ease training-data shortages; support model firms to pursue multiple technical routes using real data and real scenarios; and encourage innovation in vision, language, motion and world models to speed technology convergence and application. It will expand scenario libraries, urge industry partners to open real-world environments, support reliability and safety testing, and push faster application and industry scaling across manufacturing, medical, consumer, services and public safety sectors.