Robot Recognition and Modeling in the RoboCup Standard Platform League

Abstract

To achieve a reasonable level of play in the RoboCup Standard Platform League, a number of basic abilities such as obstacle avoidance and passing are necessary. Most of these abil- ities have one thing in common: they rely on information about other robots. In this paper, we present a vision-based approach for robot recognition in the RoboCup Standard Platform League as well as an algorithm to track the recognized robots. Both approaches were developed considering the limited computing resources of the Nao to allow an application in actual games. I. INTRODUCTION