Abstract
This paper describes a novel approach to detecting orientation and identity of robots using a global vision system. Instead of additional markers, the shape of the robot is used to determine an orientation using a general Hough transform. In addition the movement history as well as the command history are used to calculate the quadrant of the orientation. The identity of the robot is determined by correlating the motion of the robot with the command history. An empirical evaluation shows that the performance of the new video server is at least as good as that of a traditional approach using additional coloured markers.
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