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 ...

This study compared soccer players with non-soccer players, with respect to the relationship between ball velocity due to an instep kick and various leg strengths. Ten young university soccer players and ten other athletes (non-soccer players) had their instep kick ball velocity (BV) measured with respect to isokinetic leg strength. The BVs from the soccer players were significantly greater tha...

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...

As soccer in the RoboCup Middle Size League (MSL) starts resembling human soccer more and more, the time the ball is airborne increases. Robots equipped with a single catadioptric vision system will generally not be able to accurately observe depth due to limited resolution. Most teams, therefore, resort to projecting the ball on the field. Within the MSL several methods have already been explo...

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...

Star-Kick is a commercially available and fully automatic table soccer (foosball) robot, which plays table soccer games against human players on a competitive level. One of our research goals is to learn this table soccer robot skillful actions similar to a human player based on a moderate number of trials. Two independent learning algorithms are employed for learning a new lock and slide-kick ...