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The success of modern AI hinges on vast, high-quality data. Yet, the robotics industry faces a critical data bottleneck: a severe lack of massive, robust, and multi-modal physical interaction data needed to train truly reliable robots. Learn why traditional sensors fail to provide the all-weather robustness and dynamic velocity information required, and how this scarcity is the single greatest obstacle to achieving general-purpose robotics AI.