Abstract. Robot recognition is a very important point for further improvements in game-play in RoboCup middle size league. In this paper we present a neural recognition method we d...
Ulrich Kaufmann, Gerd Mayer, Gerhard K. Kraetzschm...
Color segmentation is crucial in robotic applications, such as RoboCup, where the relevant objects can be distinguished by their color. In these applications, real-time performanc...
We introduce Biter, a platform for the teaching and research of multiagent systems’ design. Biter implements a client for the RoboCup simulator. It provides users with the basic ...
Abstract. The automated generation of multimedia reports for timevarying scenes on the basis of visual data constitutes a challenging research goal with a high potential for many i...
We describe an effort to train a RoboCup soccer-playing agent playing in the Simulation League using casebased reasoning. The agent learns (builds a case base) by observing the be...