Disclosed are a new category identification method and a robot system based on fuzzy theory and deep learning. The method comprises: identifying a first object to obtain a first result; determining, according to the first result, whether the category of the first object belongs to a set of first known categories; if not, taking the category of the first object as a first new category; and if so, determining that the category of the first object is a known category. By means of the method and the robot system, the category of the first object is determined according to the first result, and if the first object does not belong to the set of first known categories, a first new category to which the first object belongs is obtained, such that the identification of a new category can be realized.
NEW CATEGORY IDENTIFICATION METHOD AND ROBOT SYSTEM BASED ON FUZZY THEORY AND DEEP LEARNING