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cs.RO2026
InfiNoVA: Infinite Novel View Augmentation for Viewpoint Invariant Robot Policies
Sai Puneeth Reddy Gottam, Elmar Rueckert, Vedant Dave
Vision-Language-Action (VLA) policies often rely strongly on the camera viewpoints seen during training, causing substantial performance degradation when deployed from unseen persp…
cs.RO2026
Sandwich-Residuals: Parameter-Efficient Test-time Adaptation of World Models
Krishnam Soni, Aditya Sehgal, Vedant Dave +1
Latent world models enable planning by predicting the effects of actions in a learned representation space, but their predictions can become unreliable when test-time conditions di…