Yue Peng

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cs.RO2026

TFP: Temporally Conditioned Memory-Fusion Policies for Visuomotor Learning

Yushen Liang, Yue Peng, Baosheng Jin +6

Vision--Language--Action (VLA) policies such as $I ¨ _{0.5}$ and OpenVLA perform well on many manipulation tasks, but they are often reactive: the next action is predicted from the c…

cs.RO2026

G $^{3}$ VLA: Geometric inductive bias for Vision-Language-Action Models

Yue Peng, Yongzhe Zhao, Artur Habuda +5

Vision-language-action (VLA) models have made rapid progress in generalist robot manipulation by harnessing semantic knowledge from pretrained vision-language backbones, but their…

TFP: Temporally Conditioned Memory-Fusion Policies for Visuomotor Learning

G3VLA: Geometric inductive bias for Vision-Language-Action Models

G $^{3}$ VLA: Geometric inductive bias for Vision-Language-Action Models