A model of fuzzy emotion and behaviour selection for an autonomous mobile robot

Abstract

This paper proposes a fuzzy model of emotion and behaviours selection for an autonomous mobile robot. Conventional behaviour-based robots can only exhibit a single behaviour or action after sensing an external event. In order to make a robot to adapt to its environment and to exhibit more complex behaviours, we try to model animal emotions and behaviours by a set of Fril's support logic fuzzy rules. This set of fuzzy rules will allow the robot to control and to select different behaviours depending on the environment and its experience. An summary of the calculus of support logic is given in this paper.