Home
World's First Industrial Cross-Embodiment Generalization Model 'Zhihet' Unveiled in Shanghai

On June 29, a milestone in artificial intelligence was reached at the Shanghai Science and Technology Museum, where the world's first scalable industrial cross-embodied general large model, "Zhihe (FabriX)," was officially unveiled. This breakthrough marks a new era of deep intelligent collaboration in industrial automation.
A long-standing challenge in complex industrial environments has been enabling efficient collaboration among diverse hardware devices. The "Zhihe" system tackles this with a pioneering "one brain, multiple forms" architecture, overcoming the bottleneck. Through this design, the system can uniformly coordinate mobile humanoid robots and high-speed wheeled robots, allowing them to work seamlessly on production lines—breaking down the physical isolation and operational barriers that traditionally separate different equipment.
The choice of the Shanghai Science and Technology Museum as the launch venue carried special significance. Alongside the display of cutting-edge models, a ceremony was held to donate multiple industrial robots, transforming hardcore technological achievements once hidden in "dark factories" into accessible science exhibits for the public. The goal was to convey the power of technological progress in today's era.
Notably, the implementation of this technology represents not only a leap in the tech field but also a reflection of regional industrial coordination. Rooted in Hefei's solid scientific foundation—from the "China Sound Valley" to a cluster of over 1,500 AI companies in the high-tech zone—Hefei is accelerating its shift from single-algorithm development to the entire robot body and full industrial chain layout.
With the release of the "Zhihe" system, UAI Tech also set a strategic goal to empower 10,000 industrial sites within the next three years. From the laboratory exhibition stand to real production lines, starting with this Shanghai launch, the "Hefei-made" technology is rapidly penetrating the national manufacturing industry, driving the transformation of industrial production from "automation" to "cross-embodied intelligence."
Related article
MiniMax 2.5 Tops Global Usage With Over $150M Monthly Revenue; M3 Flagship Version Set for H1 Release
Chinese large language models are generating intense momentum across the global developer ecosystem, driven by their reputation for cost-efficiency and engineering excellence.As of March 3, 2026, data from OpenRouter, the world’s leading API aggregat
Meta's Muse outpaces ChatGPT in early mobile launch
New data suggests Meta’s latest AI app, Muse, could become the social giant’s next major success. According to recent estimates from Appfigures, Muse has been downloaded on mobile devices more times in its first twelve days than ChatGPT did in the tw
TechCrunch Disrupt 2026: Clay’s Kareem Amin on the rise of the GTM engineer
Two years ago, GTM engineers were virtually nonexistent in most organizations. Today, the role is emerging across the tech sector, with professionals leveraging AI and automation to construct revenue engines that previously demanded multiple hires, d
Related Special Topic Recommendations
Comments (0)
0/500

On June 29, a milestone in artificial intelligence was reached at the Shanghai Science and Technology Museum, where the world's first scalable industrial cross-embodied general large model, "Zhihe (FabriX)," was officially unveiled. This breakthrough marks a new era of deep intelligent collaboration in industrial automation.
A long-standing challenge in complex industrial environments has been enabling efficient collaboration among diverse hardware devices. The "Zhihe" system tackles this with a pioneering "one brain, multiple forms" architecture, overcoming the bottleneck. Through this design, the system can uniformly coordinate mobile humanoid robots and high-speed wheeled robots, allowing them to work seamlessly on production lines—breaking down the physical isolation and operational barriers that traditionally separate different equipment.
The choice of the Shanghai Science and Technology Museum as the launch venue carried special significance. Alongside the display of cutting-edge models, a ceremony was held to donate multiple industrial robots, transforming hardcore technological achievements once hidden in "dark factories" into accessible science exhibits for the public. The goal was to convey the power of technological progress in today's era.
Notably, the implementation of this technology represents not only a leap in the tech field but also a reflection of regional industrial coordination. Rooted in Hefei's solid scientific foundation—from the "China Sound Valley" to a cluster of over 1,500 AI companies in the high-tech zone—Hefei is accelerating its shift from single-algorithm development to the entire robot body and full industrial chain layout.
With the release of the "Zhihe" system, UAI Tech also set a strategic goal to empower 10,000 industrial sites within the next three years. From the laboratory exhibition stand to real production lines, starting with this Shanghai launch, the "Hefei-made" technology is rapidly penetrating the national manufacturing industry, driving the transformation of industrial production from "automation" to "cross-embodied intelligence."
MiniMax 2.5 Tops Global Usage With Over $150M Monthly Revenue; M3 Flagship Version Set for H1 Release
Chinese large language models are generating intense momentum across the global developer ecosystem, driven by their reputation for cost-efficiency and engineering excellence.As of March 3, 2026, data from OpenRouter, the world’s leading API aggregat
Meta's Muse outpaces ChatGPT in early mobile launch
New data suggests Meta’s latest AI app, Muse, could become the social giant’s next major success. According to recent estimates from Appfigures, Muse has been downloaded on mobile devices more times in its first twelve days than ChatGPT did in the tw
TechCrunch Disrupt 2026: Clay’s Kareem Amin on the rise of the GTM engineer
Two years ago, GTM engineers were virtually nonexistent in most organizations. Today, the role is emerging across the tech sector, with professionals leveraging AI and automation to construct revenue engines that previously demanded multiple hires, d











