Augment-Connect-Explore: a Paradigm for Visual Action Planning with Data Scarcity

Martina Lippi,Michael C. Welle,Petra Poklukar,Alessandro Marino,Danica Kragic,Martina Lippi,Michael C. Welle,Petra Poklukar,Alessandro Marino,Danica Kragic

Visual action planning particularly excels in applications where the state of the system cannot be computed explicitly, such as manipulation of deformable objects, as it enables planning directly from raw images. Even though the field has been significantly accelerated by deep learning techniques, a crucial requirement for their success is the availability of a large amount of data. In this work, ...