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Equivariant Visual-Tactile Diffusion Policy for Contact-Rich Manipulation

Wong, Lik Hang Kenny et al.
arXiv (All) · Papers
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robotics
Imitation learning for contact-rich manipulation requires high-quality expert data that is expensive to obtain. This makes learning a sample-efficient policy a key issue. To address this, we propose VISTA, a workspace-level equivariant visuotactile diffusion policy for data-efficient contact-rich im
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