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From August 19 to 23, the 2026 World Robotics Conference was held at the Beijing Yizhuang Beiren Yichuang International Convention and Exhibition Center. Wang Xingxing, chairman of Yushu Technology, said at the forum that in the past few years, AI has mostly been used in programming and development, but its application in the field of robotics is still insufficient. Therefore, what the company has been promoting recently is to directly self-evolve physical AI robot models. “It's driven by using the most advanced AI model at present, and then we set our own rules and set some experience, including some restrictions and tools, so that it can search the Internet for the latest papers, the best research results, and the best various open source solutions, so that it can program and generate its own machine control code.” Wang Xingxing said that after the control code is generated, it can run in a simulation environment, or generate some large models, then control a physical robot, do some deployment tests on the physical machine, and then evaluate and score.

Zhitongcaijing·08/20/2026 05:41:06
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From August 19 to 23, the 2026 World Robotics Conference was held at the Beijing Yizhuang Beiren Yichuang International Convention and Exhibition Center. Wang Xingxing, chairman of Yushu Technology, said at the forum that in the past few years, AI has mostly been used in programming and development, but its application in the field of robotics is still insufficient. Therefore, what the company has been promoting recently is to directly self-evolve physical AI robot models. “It's driven by using the most advanced AI model at present, and then we set our own rules and set some experience, including some restrictions and tools, so that it can search the Internet for the latest papers, the best research results, and the best various open source solutions, so that it can program and generate its own machine control code.” Wang Xingxing said that after the control code is generated, it can run in a simulation environment, or generate some large models, then control a physical robot, do some deployment tests on the physical machine, and then evaluate and score.