Abstract
Self-localization is one of the most important problems for autonomous mobile robots. The authors propose a novel selflocalization method for mobile robots by using two-dimentional code. In this method, firstly a robot takes a picture of two-dimentional code and than, it estimates its global location using skewness of the shape of code and embedded infomation in the code. The proposed method has an advantege of "self-containedness", which means that it doesn't require any internal or external a priori databases. The authors implement the proposed method on a mobile robot and perform preliminary experiments to confirm its validity.
