Self-Supervised Learning of Action Affordances as Interaction Modes
Liquan Wang,Nikita Dvornik,Rafael Dubeau,Mayank Mittal,Animesh Garg,Liquan Wang,Nikita Dvornik,Rafael Dubeau,Mayank Mittal,Animesh Garg
When humans perform a task with an articulated object, they interact with the object only in a handful of ways, while the space of all possible interactions is nearly endless. This is because humans have prior knowledge about what interactions are likely to be successful, i.e., to open a new door we first try the handle. While learning such priors without supervision is easy for humans, it is noto...
