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Today, the 2026 World Physical AI Conference and Yushu Partner Ecological Conference was held in Hangzhou. Wang Xingxing, Chairman, General Manager and Chief Technology Officer of Yushu Technology, clarified the three future layout directions of Yushu Technology: one is to improve large-scale robot mass production capacity to meet future market needs of tens of millions or even 100 million; the second is to promote the implementation of small physical AI models adapted to its own hardware; the third is to lay out large-scale computing power clusters to establish a foundation for technological iteration. At the same time, the company is building a robot self-evolving system to replace traditional manual debugging paths and improve the efficiency of algorithm iteration through the closed-loop mode of “independent AI development - simulation training - real testing - feedback iteration”.
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Today, the 2026 World Physical AI Conference and Yushu Partner Ecological Conference was held in Hangzhou. Wang Xingxing, Chairman, General Manager and Chief Technology Officer of Yushu Technology, clarified the three future layout directions of Yushu Technology: one is to improve large-scale robot mass production capacity to meet future market needs of tens of millions or even 100 million; the second is to promote the implementation of small physical AI models adapted to its own hardware; the third is to lay out large-scale computing power clusters to establish a foundation for technological iteration. At the same time, the company is building a robot self-evolving system to replace traditional manual debugging paths and improve the efficiency of algorithm iteration through the closed-loop mode of “independent AI development - simulation training - real testing - feedback iteration”.
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