Unitree Technology's Wang Xingxing: Next year may be the critical point for generalized deployment in the embodied intelligence industry
Wang Xingxing, founder of Unitree Technology, said at the 2026 World Internet Conference Wuzhen Summit that embodied intelligence will usher in its ChatGPT moment, when robots will be able to complete 80% of tasks in 80% of unfamiliar scenarios through voice commands; currently, top models are already very close to this goal. He believes that next year may be the critical point for generalized deployment in the embodied intelligence industry, and the key lies in overcoming the "last few millimeters" gap in tactile contact during delicate operations such as disassembly and assembly. Unitree Technology began exploring the self-evolution of physical AI models internally a few months ago, but the current utilization rate of robot data remains relatively low.
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Sina Tech News, November 4 afternoon — At the "Internet Entrepreneurs Forum" of the 2026 World Internet Conference Wuzhen Summit, Wang Xingxing, founder of Unitree Robotics, said that embodied intelligence will usher in its ChatGPT moment, at which point robots will be able to complete 80% of tasks in 80% of unfamiliar scenarios via voice commands. Currently, top models are already very close to this goal.
Wang Xingxing stated that although embodied intelligence currently has excellent planning capabilities, it still lags in physical alignment for fine operations such as disassembly and assembly, especially in tactile contact — this is the "last few millimeters" that need to be overcome. He proposed that next year may be the critical point for generalized deployment in the embodied intelligence industry, and that if the "last few millimeters" problem is solved, theoretical obstacles will be greatly reduced.
Wang Xingxing also introduced that a few months ago, Unitree Robotics began internally exploring the self-evolution of physical AI models. AI models can write their own code, train in simulated or real environments, and then be deployed on robots for testing. After humans or robots score the test results, the results are fed back to the model for modifying programs and continuing training. He said that at present, including at Unitree Robotics, the utilization rate of robot data is still relatively low, and a large amount of data has not been fully utilized. As the capabilities of foundation models strengthen, the self-evolution capability of models and data utilization efficiency are also expected to improve.
Regarding the future direction of Unitree Robotics, Wang Xingxing previously stated publicly before the opening ceremony of the World Internet Conference Wuzhen Summit that Unitree Robotics will focus on conquering robot brain technology in the future. In addition to its own technological breakthroughs, Unitree Robotics will also seek cooperation globally, is optimistic about physical AI technology, and is committed to making breakthroughs. news_keyword_pub,stock,sz300024&sh688836 iframe below main text iframe below main text General statement General statement QR code at end of article start QR code at end of article start
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