Learning of the situation-dependent predictor based on attention by use of DBN

Abstract

We propose a situation-dependent predictor which can change prediction depending on the object's shape and the environment. In order for a robot to obtain the concepts by itself, we propose an attention model with which a robot decides what to attend and when to serch a new object.