On August 28th, Li Chao, the Deputy Director of the Policy Research Office at the National Development and Reform Commission (NDRC), announced at the August regular press briefing that the NDRC is set to prioritize the establishment of training facilities and pilot application bases for embodied AI. This move aims to spur technological advancements in robotics within real-world contexts and foster closed-loop application systems.
On the one hand, the NDRC will orchestrate the development of these training grounds, ensuring a robust supply of essential resources like data and models. To tackle the challenge of inadequate training data, a sophisticated system for collecting high-quality real-machine data will be implemented, enhancing both the quality and volume of data available. When it comes to models, the NDRC will harness the power of premium data and real-world settings to back enterprises in exploring diverse technological pathways. This approach encourages innovation in cutting-edge areas and accelerates the integration and deployment of technologies.
On the other hand, the NDRC is committed to expediting the deployment and industrial scaling of embodied AI. This involves expanding the repository of embodied training scenarios, motivating industry players to share real-world settings, and aiding embodied AI firms in conducting reliability and safety tests. Ultimately, the goal is to facilitate the widespread adoption of embodied AI across various sectors, including manufacturing, healthcare, consumption, services, public safety, and beyond.