Ontology-based User Intention Recognition for Proactive Planning of Intelligent Robot Behavior

Abstract

To recognize user intention proactively and do a suitable action or service are one of important issues in intelligent robot. Even when a user acts the same behavior, its intention may be different according to the user's context. It means that user intention recognition involves the uncertainties, and by minimizing the uncertainties can improve the accuracy of the user intention recognition. This paper suggests a novel ontology-based approach for user intention recognition. We propose a method of minimizing the uncertainties that are the main obstacles against the precise recognition of user intention. This approach creates an ontology for user intention, makes a hierarchy and relationship among user intentions, and precisely recognizes user intention by using the gathered sensor data such as temperature, humidity, vision, and auditory. We developed a simulator that evaluates the performance of robot proactive planning mechanism.