CrossSafe: Towards Cross-Embodiment Latent Safety Filters.

arXiv:2609.28984v2 Announce Type: replace-cross Abstract: Cross-embodiment learning has shown that a single model, such as a vision-language-action (VLA) model, can learn state representations and manipulation skills that can be applied across heterogeneous ro