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Explore the cutting-edge developments in using large pretrained networks, or foundational models, for robot control in this comprehensive lecture. Delve into the recent progress and applications of these advanced models in robotics, examining their potential benefits and limitations. Gain insights into how these methods compare to traditional approaches, ranging from significantly outperforming randomly initialized models to offering valuable assistance in planning tasks. Discover the latest research and practical implementations of large models in robotics, providing a solid foundation for understanding their impact on the field. Whether you're a robotics enthusiast, researcher, or professional, this lecture offers a valuable overview of the current state and future possibilities of foundational models in robot control.
