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https://chinashop-global.webflow.io/exhibitor-2026/galbot
About
Beijing Galaxy General Robot is a leading general robot enterprise in China. Its independently developed "AstraBrain" is the world's first end-to-end embedded large model of "brain-cerebell-neural control", enabling robots to make autonomous decisions and achieve high-dimensional generalization in complex scenarios. It has independently created a virtual-real fusion training paradigm, built the world's largest embodied intelligence dataset with tens of billions of data, and has become the only enterprise in the world to achieve a full chain closed loop from simulation training to generalization capture and commercialization. The company is currently valued at approximately 21 billion yuan, ranking first in China's humanoid robot industry. It has also received continuous support from national team capital, key industrial capital, and several top investment institutions. At the 2025 World Internet Conference, the project "VLA Embodied Intelligence Large Model Driven by Synthetic Data and Real Data" jointly submitted by Galaxy General, Peking University and the University of Hong Kong stood out among over 400 submitted achievements from 34 countries and regions around the world and won the Leading Technology Award, becoming the only project in the field of embodied intelligence to receive this award. At the previously held 2025 China International Big Data Industry Expo, Galaxy General's high-quality synthetic dataset-driven embedded large model and open-source synthetic dataset were released as national high-quality data integration achievements. Liu Liehong, a member of the Party Group of the National Development and Reform Commission and the Party Secretary and Director of the National Data Administration, was present at the scene and witnessed the release. It reflects the high recognition of this technical route and data construction capabilities at the national level. In terms of commercialization, the company has achieved large-scale application of thousands o
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