Fuzzy Rule Interpolation-based behavior modeling for human-robot interaction

Abstract

Summary form only given. Fuzzy Rule Interpolation (FRI) methods are efficient structures for knowledge representation with relatively few rules. The goal of this presentation is to give a short introduction to the way as an FRI based state machine can be constructed from the guide-lines of an Ethological model for acting as an embedded behavior model in Human-Robot Interaction.