Visuo-Tactile Transformers for Manipulation

1 code implementation • 30 Sep 2022 • Yizhou Chen, Andrea Sipos, Mark Van der Merwe, Nima Fazeli

Learning representations in the joint domain of vision and touch can improve manipulation dexterity, robustness, and sample-complexity by exploiting mutual information and complementary cues.

Model-based Reinforcement Learning Representation Learning