A Knowledge Management System for Assistive Robotics

In this paper we demonstrate how to use an ontology network in order to fill the gap between knowledge and robots’ abilities. The demonstration is focused on two components of the knowledge management system of MARIO robots. These components are the MARIO Ontology Network (i.e. MON) that organises knowledge in MARIO and an Object-RDF mapper, called Lizard, that dynamically generates APIs on top of the MON to enable the interaction between software components that implement robot’s abilities and the MON itself.