Does Adversarial Training Improve Generalization in Multi-View VLAs? Revealing and Mitigating View Collapse.
arXiv:2609.33707v1 Announce Type: new Abstract: Vision-language-action (VLA) models adapt pretrained vision-language models (VLMs) for closed-loop robot control, transferring their perceptual and semantic capabilities to action prediction. Despite strong in-di
arXiv cs.AIResearch source·