A Human-Machine Interaction System: A Voice Command Learning System Using PL-G-SOM

Abstract

This paper proposes a voice command learning system for partner robots acquiring communication ability with instructors. Parameter-less Growing Self-Organizing Map (PL-G-SOM), an intelligent pattern recognition model given by our previous work, is used and computational feeling of robots is also adopted to improve the human-machine interaction system. AIBO robot was used in the experiment and the results of real environment showed the effectiveness of the proposed methods.