Multicriterial decision-making in robot soccer strategies

Multicriterial Decision-making Control of the Robot Soccer Team

An Unsupervised Learning Method for an Attacker Agent in Robot Soccer Competitions Based on the Kohonen Neural Network

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...

Strategy-based decision making of a soccer robot system using a real-time self-organizing fuzzy decision tree

In a soccer robot game, the environment is highly competitive and dynamic. In order to work in the dynamically changing environment, the decision-making system of a soccer robot system should have the features of -exibility and on-line adaptation. This paper proposed a strategy-based decision-making system for a soccer robot system. The decision system is based on the proposed self-organizing f...

Study of Evolutionary and Swarm Intelligent Techniques for Soccer Robot Path Planning

Finding an optimal path for a robot in a soccer field involves different parameters such as the positions of the robot, positions of the obstacles, etc. Due to simplicity and smoothness of Ferguson Spline, it has been employed for path planning between arbitrary points on the field in many research teams. In order to optimize the parameters of Ferguson Spline some evolutionary or intelligent al...

Mathematical foundations of the methods for multicriterial decision making ∗

In this paper the mathematical foundations of the methods for multicriterial decision making are presented.