In a discreet industrial park in suburban Beijing, a humanoid robot is meticulously stacking bags of chips on a shelf. Nearby, workers are filming their actions of folding sheets and handling cushions, which will serve as 'textbooks' for the robots. China is undertaking a significant initiative to transition robots from laboratories to simulated environments like supermarkets, factories, and homes to learn human skills, and the scale of this 'internship' is rapidly expanding.
This initiative is crucial as robots need to understand the physical world's rules, such as how to hold an egg without breaking it or catch a cup of water before it slips off a tray. Unlike the U.S., which relies on data purchasing and low-cost data collection in countries like India and Vietnam, China has established at least 64 data collection and training centers nationwide, with over 20 more under construction. At the Beijing Humanoid Robot Innovation Center, more than 120 robots are being trained across 30 scenarios in six major sectors, forming a comprehensive 'robot training network' across the country.
As hardware advancements continue, Chinese robotics companies are focusing on enhancing their AI capabilities. Yushu Technology is preparing for an IPO, pledging nearly half of its $610 million fundraising to AI model development. By mid-2026, funding in China's embodied intelligence sector has already exceeded 90 billion yuan, five times that of the previous year. With plans to deploy over 1,000 humanoid robots in factories this year and more than 10,000 by 2027, China is leveraging its organizational capabilities to collect data at scale, positioning itself advantageously in the race towards general intelligence.
Editor's Note
China's aggressive strategy to deploy humanoid robots in real-world settings highlights a significant shift in robotics training methodologies. By prioritizing practical experience over simulated environments, Chinese firms are rapidly accumulating valuable data, which could lead to advancements in AI and robotics that outpace competitors. This approach may reshape the competitive landscape in robotics and AI development globally.
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