STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization
arXiv:2506.03863v3 Announce Type: replace
Abstract: Transforming complex actions into discrete skill abstractions has demonstrated strong potential for robotic manipulation. Existing approaches mainly leverage latent variable models, e.g., VQ-VAE, to …