Chinese robotics companies are facing significant hurdles in developing advanced embodied AI due to a lack of sufficient real-world data and sophisticated AI models, often referred to as the 'brain'. Experts at the World Artificial Intelligence Conference (WAIC) in Shanghai highlighted that creating a closed-loop system integrating hardware, data, models, and real-world scenarios is crucial for progress. The scarcity of multi-modal data for training world models, which are essential for robots to navigate their environment, was particularly noted as a major bottleneck. AI
IMPACT The lack of data and advanced AI models is hindering the development of embodied AI for robots.
RANK_REASON Experts at a conference discuss industry challenges, not a new release or significant event.
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