A Vision System Based on Neural Network for a Mobile Robot and Statistical Analyses of Its Errors

This paper is about the vision and odometry errors of a sweeper mobile robot. The robot takes advantage of color recognition in its vision in order to detect different types of objects having different colors. An effective artificial neural network which is extremely easy to implement and is surprisingly quick in practice for mobile robots is introduced. Consequently, the connectionist is applied on the robot for object detection and the gained results are compared with other methods. Also experimental tests plus statistical analyses are carried out in order to measure the robot localization errors.

Keywords:

vision , neural network , error , mobile robot