Tran Van Nhiem

FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation

Vision–Language–Action (VLA) models enable general-purpose robotic control via large-scale multimodal pretraining, yet their effectiveness under few-shot imitation learning remains limited. We conduct a systematic stress test of state-of-the-art VLA models and show that performance degrades sharply …