An Extensible Dialogue Script For Robot Based On Unification Of State Transition Models

In this paper, we propose an extension-by-unification method to improve reusability and flexibility in the incremental development of state-transition models. The dialogue engine SEAT (Speech Event-Action Translator) has been developed to realize continuous development of state-transition models in order to give robots dialogue capability that can cope with various kinds of speech inputs in various tasks. SEAT has a flexible adaptor mechanism that can connect to many types of robotic interfaces, and the developer can accumulate the scripts by using the script management server, which has a function to propose existing reusable scripts to the developer. We have confirmed that the application of SEAT to the development of three robots has significantly improved development efficiency.