Learning the sense of touch in simulation: a sim-to-real strategy for vision-based tactile sensing
Carmelo Sferrazza,Thomas Bi,Raffaello D’Andrea,Carmelo Sferrazza,Thomas Bi,Raffaello D’Andrea
Data-driven approaches to tactile sensing aim to overcome the complexity of accurately modeling contact with soft materials. However, their widespread adoption is impaired by concerns about data efficiency and the capability to generalize when applied to various tasks. This paper focuses on both these aspects with regard to a vision-based tactile sensor, which aims to reconstruct the distribution ...
