Chinese robotics manufacturers face significant technical challenges in advancing embodied artificial intelligence capabilities. During the World Artificial Intelligence Conference, industry leaders highlighted critical obstacles including insufficient AI processing power and limited training datasets. These bottlenecks prevent robots from achieving sophisticated real-world task execution and meaningful human-environment interaction. Addressing these foundational issues requires substantial investments in computational infrastructure and data collection strategies to unlock next-generation robotic applications.

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