机器人足球比赛系统是典型的多智能体协作系统，是研究多智能体协作问题的标准平台。
Robot soccer match system is a typical multi-agent cooperation system; therefore it is a standard platform for researching multi-agent cooperation problem.
针对群智能机器人系统的特点，提出了一种基于单一频率信号的声音协作定向方法。
A collaborative direction estimation method based on single frequency sound is proposed for swarm-based robotic systems.
文章提出了利用协作协进化来实现多智能体机器人之间协作的一种机制。
This paper proposes a mechanism which realizes the cooperation of multi-agent by cooperative co-evolution.
自主微小型移动机器人的协作学习研究是多智能体机器人系统理论的主要研究方向。
The issue of cooperation learning for autonomous micro-mobile robot is the main problem of multi-agent robot system theory.
文章先从形式逻辑角度描述系统模型，然后讨论基于合同网的多机器人智能体的协作机制，最后给出基于BDI模型的多机器智能体的实现模型。
Then cooperation between many robots based on contract net is discussed. Finally, an implementation model of multi robot systems based BDI model is presented.
机器人足球比赛系统是典型的多智能体协作系统，是研究多智能体协作问题的标准平台。
Robot soccer match system is a typical multi-agent cooperation system; therefore it is a standard platform for researching in multi-agent cooperation problems.
机器人足球比赛主要解决分散存在的多智能体，在复杂的动态环境下，通过相互通信和协作，以实时方式进行的知识处理问题。
The Robot Soccer Tournament must solve real-time knowledge processing of some dispersive multi-agent via communication and cooperation one another in complicated dynamic environment.
详细说明了基于机器人足球比赛的多智能体协作角色分配问题，提出了一种优化综合指标进行角色分配的方法．并在实际系统中得到验证。
Role assignment and doc role changing questions of multi-in- ment that optimum synthetic index is proposed and it is verified in real system.
多机器人协调与协作是机器人研究领域的一个重要课题，将智能体理论与多机器人研究相结合又是当前研究的一个热点。
Coordination and cooperation are one of the most important topics in the study of Multi-Robot. Currently, the combination of agent theory and technology with the research of robot is very popular.
文章提出了利用协作协进化来实现多智能体机器人之间协作的一种机制。
In this paper, we put forward the multi-agent architecture and the coordination mechanism based on co-evolution and establish the multi-agent system simulation framework.
文章提出了利用协作协进化来实现多智能体机器人之间协作的一种机制。
In this paper, we put forward the multi-agent architecture and the coordination mechanism based on co-evolution and establish the multi-agent system simulation framework.
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