机器人太会“整活”了，通用具身大脑照进千行百业

Core Insights - The WAIC 2025 showcased advancements in artificial intelligence, particularly in humanoid robots and their applications in various sectors, emphasizing the transition from laboratory to practical use [1][2] - The event highlighted the significant upgrades in humanoid robots, particularly in their cognitive and operational capabilities, driven by large model technologies [1][2] - The integration of embodied intelligence in robots is expected to revolutionize industries, enhancing their operational efficiency and capabilities [3][4] Industry Developments - The National and Local Joint Innovation Center for Humanoid Robots is set to accumulate 25 million complete machine data by the end of the year, ten times the size of similar datasets from Google, enhancing the robots' generalization and emergent capabilities [2] - The introduction of robots capable of performing complex tasks in various industrial scenarios, such as nuclear power and automotive sectors, indicates a shift towards automation in traditionally labor-intensive jobs [2] - The emergence of "black light factories" and "unmanned factories" is anticipated as embodied intelligence matures, allowing robots to interact with humans and understand their environment [2] Technological Innovations - The concept of "one brain, multiple forms" is being realized, with various robots performing tasks in food preparation, repair services, and retail, showcasing the versatility of embodied intelligence [3] - Innovations in core components and design have led to humanoid robots achieving high intelligence at low costs, with performance levels comparable to top-tier robots from the US and Japan at a fraction of the cost [4] - The AI industry in China is broad, encompassing algorithm models, chips, data supply, and industry applications, with significant advancements made in models and chips, although challenges remain in high-quality data supply [4][5] Market Position - China is positioning itself as a strong competitor in the global AI landscape, transitioning from a "follower" to a "runner" and potentially a "leader" through robust policy guidance and ecosystem development [5] - The combination of extensive data resources and market potential is driving rapid development in AI technology and its integration into various industries [5]