Learning Category-Level Manipulation Tasks from Point Clouds with Dynamic Graph CNNs
Junchi Liang,Abdeslam Boularias,Junchi Liang,Abdeslam Boularias
This paper presents a new technique for learning category-level manipulation from raw RGB-D videos of task demonstrations, with no manual labels or annotations. Category-level learning aims to acquire skills that can be generalized to new objects, with geometries and textures that are different from the ones of the objects used in the demonstrations. We address this problem by first viewing both g...
