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Feel what the robot feels: a new glove lets human operators experience high-resolution tactile feedback during dexterous teleoperation, dramatically improving performance in contact-rich tasks.
Forget training separate policies for every robot hand – this method learns one policy to control them all, slashing data needs and boosting performance by 50% in cross-embodiment manipulation.
Bimanual robots can now achieve robust dexterous grasping in the real world, thanks to a massive 20M-frame synthetic dataset and a simple attention-based policy that transfers surprisingly well.
