Unitree founder Wang Xingxing told the World Internet Conference Wuzhen summit that next year, 2027, will probably be a turning point for the robotics industry and robot models. He said embodied intelligence is close to a ChatGPT moment, but the physical world's final-millimetre alignment problem needs one to three more years.
The story so far: Unitree's Wang Xingxing on physical AI
Unitree's Wang Xingxing told the World Physical AI Conference in Hangzhou that aligning AI models with real robots is the core challenge for embodied intelligence. He now says Unitree will focus on robot brain technology and seek global partners, and told the Wuzhen summit that 2027 will likely be a turning point…
Wang Xingxing says aligning models with real robots is key challenge
Unitree chairman and CTO Wang Xingxing told the World Physical AI Conference in Hangzhou that the core challenge for embodied intelligence is aligning AI model inputs and outputs with real robots. He said breakthroughs typically take 5 to 10 years to reach everyone, but physical AI is showing signs of breaking through.
Wang Xingxing says he fears wasting every day as Unitree bets on physical AI
Unitree founder Wang Xingxing said he fears wasting every day and expects physical AI to break through within one to three years. Unitree robots running GPT-6 completed painting and chess tasks without extra training, and he expects robots to tidy rooms on command by late this year or next.
Wang Xingxing says Unitree will focus on robot brains and seek global partners
Unitree founder Wang Xingxing said at the World Internet Conference Wuzhen summit that the company will focus on robot brain technology and seek partners worldwide, backing physical AI. Unitree traded at 630.05 yuan, down 4.85%.
Wang Xingxing says 2027 likely to be a turning point for robotics
Unitree founder Wang Xingxing told the World Internet Conference Wuzhen summit that next year, 2027, will probably be a turning point for the robotics industry and robot models. He said embodied intelligence is close to a ChatGPT moment, but the physical world's final-millimetre alignment problem needs one to three more years.
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