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The leading AI company in mine physics incubated by the Institute of Automation of the Chinese Academy of Sciences; why the national team and industrial capital are heavily investing in it

2026-08-17 08:00 Products & Apps 🔥 28.9 heat score
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On August 17, 2026, Jiazi Guangnian reported that the leading company in mine physics artificial intelligence, incubated by the Institute of Automation of the Chinese Academy of Sciences, has recently become a target of collective investment by national and industrial capital. This incident reflects the country’s strategic emphasis on the field of intelligent mining transformation and the capital market’s recognition of the technical prospects in this area.

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Key entitiesKEY ENTITIES
CaterpillarChinese Academy of Sciences, Institute of AutomationFrost SullivanKomatsuNVIDIAZhongke Huituo

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Caterpillar × Chinese A…1Caterpillar × Frost Sul…1Caterpillar × Komatsu1Caterpillar × NVIDIA1Caterpillar × Zhongke H…1Chinese Academy of Scie…1

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  • Chinese Academy of Sciences, Institute of Automation1
  • Caterpillar1
  • NVIDIA1
  • Komatsu1
  • Zhongke Huituo1
  • Frost Sullivan1

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甲子光年 zh 2026-08-17 08:00

The leading AI company in mine physics incubated by the Institute of Automation of the Chinese Academy of Sciences; why the national team and industrial capital are heavily invested in it

Against the backdrop of the emerging concept of physical AI, Zhongke Huituo, incubated by the Institute of Automation of the Chinese Academy of Sciences, has become a core player in the field of autonomous mining. By late 2025, its solutions had been implemented in nearly 50 mines in China and the SCG project in Thailand was also successful. Relying on the “virtual-real two-way feedback” system, Zhongke Huituo has established a closed loop for data collection, model evolution, simulation, and strategy implementation, effectively solving the problem of scarce data in extreme operating conditions. With support from national teams such as Guoneng Quanneng Group and industrial capital, Zhongke Huituo has promoted the regular operation of autonomous mining systems with multiple teams, achieving a total transportation volume of 52 million cubic meters. Facing challenges such as the lack of satellite signals underground, the company is expanding its intelligent mining capabilities across all scenarios using the same technical foundation. By developing jointly and using a payment model based on workload, it aims to achieve large-scale commercial implementation.