AI RESEARCH
Test-Time Training for Visual Foresight Vision-Language-Action Models
arXiv CS.LG
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ArXi:2605.08215v1 Announce Type: cross Visual Foresight VLA (VF-VLA) has become a prominent architectural choice in the recent VLA due to its impressive performance. Nevertheless, the inherent design of VF-VLA makes it particularly vulnerable to out-of-distribution (OOD) shifts. Because the quality of action directly depends on the accuracy of the predicted future visual information, OOD conditions affect both stages at once. To address this vulnerability, we propose Test-Time