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Wang Xingxing says physical AI's core challenge is aligning models with the real world

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Wang Xingxing, founder and chairman of humanoid robot maker Unitree, said the main challenge for physical AI is aligning models with the physical world, citing sensor and motion errors. He expects the problem could be solved within one to two years.

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The story so far: Unitree's Wang Xingxing on physical AI

Unitree founder Wang Xingxing said aligning AI models with real robots is the core challenge for embodied intelligence, expecting a breakthrough in one to three years. He now says the main challenge for physical AI is aligning models with the physical world, citing sensor and motion errors, and expects it could…

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  1. Wang Xingxing says aligning models with real robots is key challenge

  2. Wang Xingxing says he fears wasting every day as Unitree bets on physical AI

  3. Wang Xingxing says Unitree will focus on robot brains and seek global partners

  4. Wang Xingxing says 2027 likely to be a turning point for robotics

  5. Wang Xingxing says physical AI's core challenge is aligning models with the real world

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