Abstract: Recent advancements in end-to-end imitation learning have shown promise in handling multi-stage robotic manipulation, which involves executing structured sequences of actions to achieve ...
Abstract: Robot learning of manipulation skills is hindered by the scarcity of diverse, unbiased datasets. While curated datasets can help, challenges remain regarding generalizability and real-world ...
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