Multimedia Knowledge Design and Processing for Personal Robots

Abstract

The development of personal robots or service robots has aroused much interest in recent times, witnessing an amazing growth of robotics in different domains. Although sophisticated humanoid robots have been developed, much more effort is needed for improving their cognitive capabilities. Interactions with humans and / or with other agents are still limited and not considered satisfactory. So, the way we store and represent knowledge in a cognitive architecture(CA) is fundamental in order to overcome these limitations and improve human-machine and machine-machine interactions. In this paper we propose a multimedia graph knowledge base using pure formalisms, which can be used by personal robots to represent and share the acquired knowledge, linking it to abstract concepts gifted with semantic relations. Moreover we propose a prototype architecture for sharing the knowledge between two agents following the Knowledge-as-a-service (KaaS) paradigm.