In Tai'an, a 59-year-old community resident, Zhu Chuan-zhen, demonstrates folding clothes repeatedly while wearing a sports camera. This seemingly ordinary household task is becoming a training material for robots. There are no educational restrictions or technical background requirements; the only necessity is to perform household chores to standard. Over 60 residents are engaged in this role, known as 'data collectors', with plans to deploy thousands of collection devices and create over 600 jobs.
The Tai'an district has established a complete data annotation ecosystem, transitioning from data collection to intelligent labeling and model training. Meanwhile, in Shangyu, a quadruped robot navigates through high-temperature spray towers, equipped with a 'mechanical eye' for continuous monitoring. Previously, workers had to cover temperature and vibration readings every four hours, but now robots handle inspections, allowing workers to focus on detailed management.
In Guiyang, the cost advantage is significant, with lower rental and labor costs compared to first-tier cities. As a hub for data processing, Guiyang hosts one of the world's largest data center clusters, supporting model training. These three cities—Tai'an, Shangyu, and Guiyang—are paving distinct paths for the embodied intelligence industry using their unique resources while major cities debate the design of humanoid robots.
Editor's Note
The advancements in data collection and processing in smaller cities like Tai'an, Shangyu, and Guiyang highlight a shift in the robotics industry. These regions are leveraging their unique strengths to develop specialized ecosystems for training robots, which could influence the competitive landscape as larger cities focus on humanoid designs. This trend may lead to increased efficiency and innovation in robotics applications across various sectors.
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