Adapting Vision-Language-Action Models to Unknown Visual Disruptions During Execution.
arXiv:2610.07946v1 Announce Type: cross Abstract: Visual disruptions can arise while a robot is executing a task, leaving a vision-language-action (VLA) policy to respond without knowing the disruption type or timing. We introduce Self-supervised Adaptation fr
arXiv cs.AIResearch source·