Navigating robots inside building

This paper presents a simplified version of the in-door navigation. It is based upon qualitative positioning that takes advantage of natural and artificial landmarks. The AR-tags are used as the latter. They bear semantic labels of elements of the building and allow the robot to position itself inside a particular compartment. Additionally, a concept of hybrid map is introduced. This map combines metric, topologie and semantic information about the working environment.