Robot manufacturers shift focus to greater intelligence

    Conference showcases nation's rapid advances in breakthrough tech

    China Daily | Updated: 2025-08-15 10:00
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    Robots boxing in a ring at the 2025 World Robot Conference in Beijing on Aug 8. ZOU HONG/CHINA DAILY

    BEIJING — Robots that are not only able to run, dance and play soccer, but also sort parts on an assembly line, try their luck at a game of mahjong and even tickle the ivory were once fantasies confined to science fiction novels, but are now a reality that was unfolded at the recent World Robot Conference in Beijing.

    The WRC 2025 showcased rapidly advancing embodied intelligence technology, with humanoid robots as the highlight, demonstrating significant progress achieved globally and particularly in China, while the event also served to illuminate a wide range of future commercial application scenarios.

    Themed "Making Robots Smarter, Making Embodied Agents More Intelligent," the five-day conference that finished earlier this week featured forums, exhibitions, competitions and networking events — with over 200 robotics companies from around the world showcasing their latest innovations.

    Exhibitors at the WRC showed off their latest humanoid robots along with other varieties such as wheeled robots, collaborative robots and quadruped or hexapod robotic dogs, as well as newly developed embodied intelligence models.

    Unitree Robotics, based in East China's Hangzhou, Zhejiang province, brought its latest humanoid R1 and quadrupedal A2 automatons to the conference. A crowd favorite was a boxing match by two of the latest upgraded GI robots. The mechanical boxers punched and defended like real human fighters, while getting up to continue even after being knocked down.

    Marketing manager at Unitree, Liu Jinda, said the sparring demonstration wasn't just for show. "During boxing, multiple joints need to coordinate with extremely fast reaction times. When subjected to external forces, the robots must quickly regain stability and balance. This practice provides valuable experience for developers to improve robotic performance."

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