China sets 12-month deadline for embodied AI data standards

China's National Data Administration plans to accelerate standards for embodied artificial intelligence and direct local authorities on implementation. The regulator aims to solve access to high-quality training data for robotic systems that combine AI with physical machines. Work focuses on clearer rules for datasets used by these systems, intended to support consistent collection and use as companies improve real-world robots. China has already moved to build a broader standards framework around the sector. National standards published on August 27 cover the quality of real-world embodied-intelligence data and technical requirements for data-generation platforms. Among projects overseen by the administration are proposed standards covering synthetic-data generation, processing, and specifications for training bases. One draft programme, registered in April, sets a 12-month timetable for a standard on data collection and model training. The committee is developing additional specifications covering sources and constituent elements of high-quality datasets.