At the main forum of the 2026 World Robotics Conference, Cao Peng, chairman of the technical committee of JD Group and president of JD Cloud, said that global embodied intelligence is entering the first year of large-scale implementation. However, behind large-scale deployment, the industry is still facing the core bottleneck of data. Most of the high-quality physical data currently available is still at the level of hundreds of thousands of hours; to support the maturity of the generic physical model, the amount of data required by the industry will exceed 10 million hours. Real scene interaction data is difficult to obtain and expensive; data diversity is insufficient, limiting model generalization capabilities; there are still data silos between different robot entities. Therefore, intelligent competition is ostensibly a competition for model ability; it is essentially a competition for data scale, data quality, and data systematization ability.

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