Using f-SHIN to Represent Objects: An Aid to Visual Grasping

Description Logics (DLs) are nowadays used to face a variety of problems. When dealing with numerical data coming from the real world, however, the use of traditional logics results in a loss of useful information that can be otherwise exploited using more expressive logics. Fuzzy extensions of traditional DLs, being able to represent vague concepts, are well suited to reason on such objects. In this paper we present an architecture for the automatic building and querying of a fuzzy ontology related to the representation of objects in terms of their composing parts. Our approach mainly aims to face the problem of visual grasping, which is of wide interest in the robotics field.