At the World Internet Conference in Wuzhen, Yushu Technology founder Wang Xingxing said robotics data utilization remains low, with large volumes of sensor and operational data unused. He expects physical/embodied AI models that can self-evolve to raise data-use efficiency and speed technical iteration. Wang gave an optimistic timing, saying 2027 is very likely to be a critical point for the robotics industry or robot models. He defined an embodied-intelligence “GPT moment” as robots completing

At the World Internet Conference in Wuzhen, Yushu Technology founder Wang Xingxing said robotics data utilization remains low, with large volumes of sensor and operational data unused. He expects physical/embodied AI models that can self-evolve to raise data-use efficiency and speed technical iteration. Wang gave an optimistic timing, saying 2027 is very likely to be a critical point for the robotics industry or robot models. He defined an embodied-intelligence “GPT moment” as robots completing roughly 80% of tasks in about 80% of unfamiliar scenes via voice commands, and said leading global models are close to that goal but still face key technical barriers.