Planning of vision-based navigation for a mobile robot under uncertainty

Abstract

This paper deals with planning of visual navigation strategies for a mobile robot under uncertainty of both visual data and dead reckoning data. When a robot passes through a narrow space, it has to move slowly while carefully observing surrounding objects and estimating the distances to the objects precisely. On the other hand, the robot can move fast in a widely open space. A novel method is proposed which can adaptively determine the speed of the robot and the visual landmarks, thereby realizing an efficient navigation of the robot. Experimental results show the feasibility of the method.