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

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.