Effects of Augmented Reality Markers for Networked Robot Navigation

The authors have studied augmented reality techniques applied to a support robot navigation system. It helps care recipients to remotely control robots for themselves with simple commands through a communication network. This paper focuses on the identification and geometrical measurement of planar markers with mosaic patterns. Experiments reveal that the identification rate as well as measurement accuracy is related to feature points of the pattern. They also clarify that there is a positive correlation between the number of feature points and the accuracy of marker recognition. This research project also proposes the optimum AR markers for networked welfare robot navigation.