AN INTELLIGENT INTERFACE PROCESSOR FOR A BEHAVIOUR-BASED CONTROL ROBOT

摘要

A behaviour-based control is considered as the best approach to control autonomous robots. In the near future, autonomous robots like mobile service robots are expected to assist people in a common environment such as houses or o±ces. Such situations require natural interaction between people and the robots. One way to facilitate this is by using a natural language interface (NLI). Unfortunately the major problem with natural language is that it is always ambiguous. Up to now, there is no existing NLI processor that can well solve the ambiguity problems for human-robot interface. This paper presents a new methodology for creating an intelligent NLI processor for a mobile service robot that uses a behaviour-based control. The methodology uses a fuzzy approach and history knowledge. The history knowledge is an innovation in this work.