Visual Navigation of a Museum Guide Robot

Abstract

This paper presents a novel approach to visual navigation of a museum guide robot – ATLAS, which can detect visitors nearby and interact with them via voice and a touching screen. The software architecture of the robot is presented to show how this complex system is organized. Furthermore, a fast and robust multi-sensor based navigation is explained. Some experimental results are presented to show the feasibility and performance of the proposed system.