2025
UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects
RA-L 2025
UniT is an approach to tactile representation learning, using VQGAN to learn a compact latent space and serve as the tactile representation. It uses tactile images obtained from a single simple object to train the representation with generalizability. This tactile representation can be zero-shot tra