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ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation
Diverse demonstration datasets have powered significant advances in robot learning, but the dexterity and scale of such data can be limited by the hardware cost, the hardware robustness, and the ease of teleoperation.
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data
Similar to computer vision problems, such as object detection, Action Image builds on the idea that object features are invariant to translation in image space.
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