Affordances from Human Videos as a Versatile Representation for Robotics
Affordances from Human Videos as a Versatile Representation for Robotics
Building a robot that can understand and learn to interact by watching humans has inspired several vision problems. However, despite some successful results on static datasets, it remains unclear how current models can be used on a robot directly. In this paper, we aim to bridge this gap by leveraging …