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不堆GPU,信度启源开辟了具身智能的第三条路!
This article discusses how Xindu Qiyuan (信度启源) has developed a new approach to embodied intelligence by incorporating uncertainty theory into world models. The method addresses the issue of delay in robotic perception and control by predicting and compensating for delays in real-time, enabling faster and more reliable decision-making. The approach leverages mathematical models and uncertainty theory to improve the accuracy and safety of robotic actions in dynamic environments.
The paper presents a novel approach to embodied intelligence by integrating uncertainty theory into world models, enabling delay compensation and real-time decision-making in robotics. This method reduces computational costs and improves the reliability of robotic actions in dynamic environments.
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