The aim of this paper is to give a short introduction to an autonomous robot system on the practice-oriented example of robot soccer as a test bed for the implementation of Multi Agent Systems. It is a great opportunity to work with robot soccer, because it is covering almost every parts of an autonomous system and gives an idea how such a system can be realized.

One of the typical cooperative actions is the pass play in RoboCup small-size league. This paper presents three technical key features to realize robust pass play between robots. The first one is the high resolution image processing to detect the positions and orientations of the robots. The second one is the control algorithm to move and adjust the robots for the pass play. The third one is th...

This paper deals with an intelligent control of an autonomous mobile robot, which can adapt to dynamical environments. RoboCup soccer robots are chosen as demonstration targets. An important issue in robotic soccer is how to respond to dynamical environment. This study presents an intelligent control method based on System-Life concept for the autonomous mobile robot system. In other words, it ...

Games and Conferences, was held at the Fifteenth International Joint Conference on Artificial Intelligence. There were two leagues: (1) real robot and (2) simulation. Ten teams participated in the realrobot league and 29 teams in the simulation league. Over 150 researchers attended the technical workshop. The world champions are CMUNITED (Carnegie Mellon University) for the small-size league, D...

Traditional motion planning focuses on the problem of safely navigating a robot through an obstacle-ridden environment. In this thesis, we address the question of how to perform robot motion planning in complex domains, with goals that go beyond collision-free navigation. Specifically, we are interested in problems that impose challenging constraints on the intermediate states of a plan, and pr...

One of the most important tasks on robot soccer is localization. The team robots should self-localize on the 18 x 12 meters soccer field. Since a few years ago the soccer field has increased and the corner posts were removed and that increased the localization task complexity. One important aspect to take care for a proper localization is to find out the robot orientation. This paper proposes a...

ABSTRACT In this paper, we describe a design and construction method for an omni directional vision system and how to use it on autonomous robots for object detection, localization and also collision avoidance in middle size league of RoboCup. This vision system uses two mirrors, a flat and a hyperbolic one. The flat mirror is used for detecting very close objects around the robot body, moreove...

The robot soccer system is being used as a test bed to develop the next generation of field robots. In the multiagent system, action selection is important for the cooperation and coordination among agents. There are many techniques in choosing a proper action of the agent. As the environment is dynamic, reinforcement learning is more suitable than supervised learning. Reinforcement learning is...

Robot soccer competition provides an excellent opportunity for integrated robotics research. In particular, robot players in a soccer game must recognize and track objects in real-time, navigate in a dynamic field, collaborate with teammates, and strike the ball in the correct direction. All these tasks demand robots that are autonomous (sensing, thinking, and acting as independent creatures), ...

Self-localization on the field is one of the key perceptual tasks that a soccer robot, e. g. in the RoboCup competitions, must solve. This problem becomes harder, as the rules in RoboCup more and more discourage a solely color-based orientation on the field. While the field size increases, field boundary markers and goals become smaller and less colorful. For robust game play, robots therefore ...