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Ubtech launches World’s first 10,000‑unit smart factory for industrial humanoid Robots

UBTECH Robotics announced that its new smart factory in Liuzhou, Guangxi, is now operational. Spanning 14,000 m² and standing 13.8 m tall, the plant is designed for a 10,000‑unit annual capacity and can roll out an industrial humanoid robot roughly every ten minutes. The facility produces the Walker S and Cruzr series, including models like the Cruzr Y1 and Cruzr S2, and was built in partnership…

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Key points

  • Factory can produce one industrial humanoid robot every 10 minutes, reaching 10,000 units annually.
  • UBTECH and Siemens co‑developed a digital ‘smart brain’ that manages scheduling, material flow and quality control.
  • The plant includes a 65 m² stereoscopic warehouse storing 112 robots and a fully automated logistics matrix.

The factory integrates robots as both products and production tools, employing collaborative robots, power‑assist manipulators, unmanned logistics vehicles, and 360° rotating worktables for flexible mixed‑model assembly. Each robot undergoes more than four hours of testing and a 360° visual inspection. A compact 65 m² stereoscopic warehouse stores 112 robots, while an automated logistics matrix of AGVs and unmanned forklifts links sub‑assembly, final assembly, testing, and storage, supporting the high‑throughput workflow. Vice‑president Pang Jianxin highlighted China’s robust supply chain as essential for scaling complex robot manufacturing, noting the country’s rapid industrial robot output growth in 2026.

Full story from globaltimes.cn · via Reddit AI communitiesOpen source ↗

‘Robots building robots’: World’s 1st 10,000-unit-scale industrial humanoid robot smart factory starts production

globaltimes.cn · 15 September 2026

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UBTECH RoboticsSiemens Digital Industries SoftwareWalker S seriesCruzr seriesCruzr Y1Cruzr S2Pang Jianxin

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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