Learning human intervention operations for a Mobile Robot to avoid obstacles

Abstract

This paper presents a method for cooperative control of a mobile robot between human operators and computers, where the system supports some cooperative action between manual and automatic modes. The fuzzy rules to avoid obstacles are adjusted by a turning algorithm based on human intervention operations. The method, proven by some actual trials in a PWS mobile robot, realizes efficiencies in the operation of a mobile robot with simplicities of commands and flexibility of human operator.