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In the field of Robot Learning, the complex mapping between high-dimensional observations such as RGB images and low-level robotic actions, two inherently very different spaces, constitutes a complex learning problem, especially with limited amounts of data.
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Hierarchical diffusion policy for kinematics-aware multi-task robotic manipulation
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