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...

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 is one of the major domains for studying the coordination of multi-robot teams. Decentralized Partially Observable Markov Decision Process (Dec-POMDP) is a recent mathematical framework which has been used to model multi-agent coordination. In this work, we model simple robot soccer as Dec-POMDP and solve it using an algorithm which is based on the approach detailed in [1]. This al...

A design and implementation method of a robot soccer system with three vision‐based autonomous robots is proposed in this paper. A hierarchical architecture with four independent layers: (a) information layer, (b) strategy layer, (c) tactics layer, and (d) execution layer, is proposed to construct a flexible and robust vision‐based autonomous robot soccer system efficiently. Five ...

A design and implementation method of a robot soccer system with three vision‐based autonomous robots is proposed in this paper. A hierarchical architecture with four independent layers: (a) information layer, (b) strategy layer, (c) tactics layer, and (d) execution layer, is proposed to construct a flexible and robust vision‐based autonomous robot soccer system efficiently. Five ...

RoboCup competition as a great test-bed, has turned to a worldwide popular domains in recent years. The main object of such competitions is to deal with complex behavior of systems whichconsist of multiple autonomous agents. The rich experience of human soccer player can be used as a valuable reference for a robot soccer player. However, because of the differences between real and simulated soc...

In this paper a new robot is presented which was designed especially for RoboCup soccer. It is an approach to evolve from the standard Darwin based skeleton towards a robot with more human motion capabilities. Many new features were added to the robot to adapt it for the special requirements of RoboCup Soccer. Therefore, the interaction possibilities with the robot were improved and it has now ...

Selecting an optimal position for each soccer robot to move to in a robot football game is a challenging and complex task since the environment and robot motion are so dynamic and unpredictable. This paper provides an overview of behaviour-based position selection schemes used by Essex Wizards’99 simulated soccer team, a third place in RoboCup’99 simulator league at Stockholm. The focus concent...

Robot soccer is representative for the application of Multi Agent Systems in real-world dynamic situations. Robot soccer contains most of the important elements that are present in real world multi-agent applications, such as perception of dynamic environments, reactive behaviour, team coordination, communication and fusion of information, decision making in the presence of adversary objects. I...

Robot Soccer involves planning at many levels, and in this paper we develop high level planning strategies for robots playing in the RoboCup FourLegged League using case based reasoning. We develop a framework for developing and choosing game plays. Game plays are widely used in many team sports e.g. soccer, hockey, polo, and rugby. One of the current challenges for robots playing in the RoboCu...