Experiential update of fuzzy rules for a voice instruction system

Abstract

When the robotic manipulator performs by voice instructions of a user, interpretations of these instructions include fuzziness because of various qualitative words. The fuzziness in interpretations is an important challenge in the voice control system. One of voice control systems is a fuzzy coach-player system which is quantified ambiguous commands by fuzzy reasonings. In this paper, we propose an experiential update algorithm of fuzzy rules in the fuzzy coach-player system. The effectiveness of the present algorithm is discussed through some experimental results of a robotic forceps.