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Retargeting human demonstrations to robots can now achieve a 40.6% increase in training success while preserving crucial hand-object interactions.
Ditch VAEs and AMP: SLMP learns structured motion priors in a spherical latent space, enabling stable random sampling of diverse and valid humanoid behaviors without information loss.
