Description of strategy is the basis of the robot soccer game. Based on the strategic description we can set up strategy set. In strategy set there are many types of strategies, such as isolated strategies, chain strategies and loop strategies. Loop strategies could be a problem for robot soccer game.
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Robot soccer Strategy abstract Strategy is a kernel subsystem of robot soccer game. In our work, we present an approach to describe the strategy of the game, based on which we explain the morphology of strategy set. Loop strategies are likely to make robots be in a trap of executing repeated actions. We analyze the existence criterion of
In addition, the application of this method in the cooperative strategy learning of soccer robot is studied, so that the multi-agent system can pass through the environment. To realize the division of labour and cooperation of multi-robots, the interactive learning is used to master the behaviour strategy.
This paper researches middle-size soccer robot competition. It emphasizes on system of intelligent soccer robot, motion model and strategy of RoboCup. The platform of this paper is Bochuang UP-Voyager III medium-sized group of soccer robot. Then this paper researches competition strategy of Robot soccer. Competition strategy is that all robots in co-ordination between the common way to finish the task according to the situation of marker competition and instructions of judges.
paper researches competition strategy of Robot soccer. Competition strategy is that all robots in co-ordination between the common way to finish the task according to the s ituation of marker ...
strategy must perform many complex information processing tasks in real time. The usual approach to building a soccer robot strategy is the system based on knowledge and decision tree [3-5]. Figure.1. shows a typical paradigm of soccer robot strategy. There are some disadvantages in the strategy based on 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 flexibility and on-line adaptation. This paper proposed a strategy-based decision-making system for a soccer robot system.
The soccer robot system and the effective multi agents cooperation strategy which has been applied to the BALL BREAKER team is presented. The main part of the presented strategy is composed of ...
As a kind of artificial life, the Side-wall processing strategy of soccer robot is influenced by many factors, such as game state, field region, attacking and defending situation and so on, each factor also has different influence degree, so, the Side-wall behavior selection is an intelligent selecting process.
In Section 6, the strategies for the robot soccer game are proposed. The finite‐state transition mechanism for the field players and the goalkeeper is proposed to determine the individual or cooperative behaviours needed to solve varied game situations. In Section 7,