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IT之家 科技新闻· · Original publication time

Wang Xingxing outlines three plans for Unitree and announces an annual physical AI competitionMachine translation

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Wang said Unitree plans to expand robot mass production capacity, develop physical AI small models suited to its hardware, and build large scale computing clusters. He also announced a physical AI competition with tens of millions of yuan in annual prize money, open to teams and individuals worldwide across eight categories.

Article · AI translation

IT Home reported on October 22 that, according to Securities Times, the 2026 World Physical AI Conference and Unitree Partner Ecosystem Conference was held today in Hangzhou, Zhejiang. At the conference, Wang Xingxing, chairman, general manager and chief technology officer of Unitree Robotics, set out the company’s 3 main directions for the future:

First, improve its capacity for large-scale robot production to meet future market demand in the tens of millions or even hundreds of millions of units;

Second, pursue in-house development and collaboration in parallel to put small physical AI models tailored to its own hardware into use;

Third, build ultra-large-scale computing clusters to provide a solid foundation for technological iteration.

At the same time, Unitree Robotics is building a robot self-evolution system. Through a closed loop of “autonomous AI research and development — simulation training — real-world testing — feedback and iteration,” it aims to replace traditional manual debugging and improve the efficiency of algorithm iteration.

Wang Xingxing also officially announced the World Physical AI Competition at the conference. The competition will offer tens of millions of yuan in prize money each year and will be open to teams and individuals worldwide. It will have 8 categories: unrestricted mobility, track and field, combat, dexterous manipulation, production, sports events, multimodal interaction, and health and elder care. It aims to bring together innovators from around the world and drive continued advances at the frontiers of physical AI technology.

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