In the robot soccer competition platform, the cur- rent confrontation decision-making system suffers from dif- ficulties in optimization and adaptability. Therefore, we pro- pose a new self-adaptive decision-making (...
A dynamic cooperation model of multi-agent is established by combining reinforcement learning with distributed artificial intelligence(DAI),in which the concept of individual optimization loses its meaning because of ...
A large sample size is required for Monte Carlo localization (MCL) in multi-robot dynamic environ- ment, because of the "kidnapped robot" phenomenon, which will locate most of the samples in the regions with small...
A new ball passing strategy for robot soccer is proposed in this paper. With introduce of a new algorithm on ball passing, the optimum strategy is confirmed to be more efficient and exact when passing a ball. Question...
Presents the robot soccer software simulation platform to be firstly used at FIRA Robot World Cup China 2001, introduces the system’s purpose and design plan; discusses the system core server configuration and workin...
This paper researches robot soccer action selection based on Q learning .The robot learn to activate particular behavior given their current situation and reward signal. We adopt neural network to implementations ...
The decision making system of robot soccer is a kind of knowledge system. A Six step Reasoning Model is established by formalizing its expert knowledge and decision making process. Furthermore, many other models can b...
Robot soccer game is an interesting emerging domain for multiple cooperative robotic system. This paper discusses the detailed design of a simulator, and describes the architecture of soccer server and client in detai...
The soccer robot system and the effective multi agents cooperation strategy applied to the MASKARO team composed of a set of action controllers, a set of behavior module and a behavior selector are introduced. The act...