A Habit System for an Interactive Robot

Kai-yuh Hsiao and Deb Roy

Human behavior is a mix of automatic perceptually-triggered habits and intentional goal-directed actions. We have implemented a habit system that automatically executes actions based on internal and external context. The result of the habit system is a homeostatic mechanism with implicit goals that balances the physical needs of a physical robot with other factors such as interaction with human partners. By acting automatically on salient context elements, the robot intersperses the use of its conversational interface with self-preservation and curiosity drives. Ultimately, having both a goal and a habit system governing robot behavior will allow a very rich platform for embodied, grounded semantics. We present details of the model and implementation, and discuss insights into the embodied nature of semantics that arises from this work.


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.