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SevenTeng Robotics launches Metaverse Intelligent Inspection Platform, reusable across plants but new plants still require re-adaptation

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SevenTeng Robotics has launched the Metaverse Intelligent Inspection industrial embodied intelligence platform for high-risk industrial inspection: it first uses digital reconstruction technologies such as 3D Gaussian to build a digital factory, then uses a large model to automatically recognize instruments, and through Sim Studio simulation deduction, a Real2Sim2Real closed loop, and dual-brain Agent+VLA control, trains inspection robots. The reporting party states that the underlying simulation platform, the experience packages for recognizing meters and listening to sounds, and the dual-brain control framework can now be packaged and reused across plants, and that robots can directly go on-site to work after deducing extreme dangerous conditions in the virtual world. However, each new factory's first real-world scan, special process flows, and explosion-proof compliance calibration still require re-adaptation; how much this pipeline can shorten the delivery cycle that originally took months once it is rolled out on a large scale still awaits verification by real project delivery data.

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  1. Differential Review's On-Site Visit: How Shengtong Energy and Qiten Robotics' Metaverse Intelligent Inspection Enables Inspection Robots to Work Across Plants

    Differential Review traveled to Chongqing to speak with engineers from Shengtong Energy and Qiten Robotics, and introduced the Metaverse Intelligent Inspection solution for high-risk industrial inspection. The solution first uses reconstruction technologies such as 3D Gaussian to build a digital factory on a computer, and a large model automatically identifies instruments.

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