This paper propose a way to form articulation model of articulated objects by encoding the features and find the correspondence of static and mobile part via visual observation before and after the interaction.

The paper proposed a way of modeling interactive objects in a large-scale 3D space by making affordance predictions and inferring the articulation properties from the visual observations before and after the self-driven interaction.