τ: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision

Learning the informative tactile representation while effectively adapting it to pretrained Vision-Language-Action (VLA) models remains challenging at both the data and modeling levels. At the data level, limited task-specific demonstrations constrain representation quality, whereas large-scale pret...