Robot Schools in Beijing Boost Intelligent Training for Humanoid Robots

Beijing - At the 2026 Zhongguancun Forum, which opened on March 25, a large number of advanced intelligent robots attracted attention. At the Robot Data Training Center in Beijing, robots are becoming increasingly intelligent through training at the "Robot School."

A staff member trains a robot at an embodied intelligence tactile and multimodal perception digital training innovation center in Shijingshan District in Beijing, capital of China, March 17, 2026

Here, robots collect data in scenarios such as industrial manufacturing, smart homes, and commercial services, providing data support for the research and development of humanoid robots. Data collectors operate the robots to complete a series of specific tasks, generating massive amounts of motion data to enhance the robots' "brains."

In the future, these robots will be deployed in factories, supermarkets, homes, and other application scenarios.

A robot operates in a simulated supermarket scenario at the Robot Data Training Center in Shougang Park, Shijingshan District, Beijing, capital of China, March 25, 2026. (Photo/Xinhua)

A staff member trains a robot at the Robot Data Training Center in Shougang Park, Shijingshan District, Beijing, capital of China, March 25, 2026. (Photo/Xinhua)

A staff member trains robots at an embodied intelligence tactile and multimodal perception digital training innovation center in Shijingshan District in Beijing, capital of China, March 17, 2026. (Photo/Xinhua)

A robot operates in a simulated home scenario at the Robot Data Training Center in Shougang Park, Shijingshan District, Beijing, capital of China, March 25, 2026. (Photo/Xinhua)

A staff member trains a robot at an embodied intelligence tactile and multimodal perception digital training innovation center in Shijingshan District in Beijing, capital of China, March 17, 2026. (Photo/Xinhua)

This photo taken on March 25, 2026 shows the Robot Data Training Center in Shougang Park, Shijingshan District, Beijing, capital of China. (Photo/Xinhua)

At an embodied intelligence innovation industrial park in Zhongguancun, Haidian, reporters gained insight into the core technologies underpinning the agile performance of robots.

The rapid development of the humanoid robot industry has raised higher demands for dexterous hand motion control and intelligent training. Beijing Noitom Technology Co., Ltd., relying on independently developed inertial sensors and optical/inertial hybrid motion measurement technology, provides core technical support for the development of humanoid robots through a high-precision motion capture system.

This effort facilitates more refined operations closely resembling human hand movements, offering new approaches for industrial advancement.

A staff member of Noitom Technology Co., Ltd. displays data collection of high-precision human behavior at an embodied intelligence innovation industrial park in Zhongguancun of Haidian District, in Beijing, capital of China, March 18, 2026. (Photo/Xinhua)

Li Yao (2nd R, back), Vice President and Partner of Noitom Technology Co., Ltd., introduces data collection of high-precision human behavior and robots at an embodied intelligence innovation industrial park in Zhongguancun of Haidian District, in Beijing, capital of China, March 18, 2026. (Photo/Xinhua)

A staff member of Noitom Technology Co., Ltd. displays data collection of high-precision human behavior at an embodied intelligence innovation industrial park in Zhongguancun of Haidian District, in Beijing, capital of China, March 18, 2026. (Photo/Xinhua)

Staff of Noitom Technology Co., Ltd. demonstrate a collaborative robot controlled through motion capture technology during the International Sci-Fi and Future Tech Expo Beijing 2026 in Beijing, capital of China, March 26, 2026

Staff of Noitom Technology Co., Ltd. demonstrate a collaborative robot controlled through motion capture technology during the International Sci-Fi and Future Tech Expo Beijing 2026 in Beijing, capital of China, March 26, 2026. (Photo/Xinhua)