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.
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.
本文基于多智能体系统理论，研究了多智能体机器人系统的底层实时调度问题。
This paper will study under layered real-time scheduling problem, which is based on the theory of MAS (Multi-agent System).
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.
本文在详细了解和研究多智能体系统的基础之上讨论并实现了一个多智能体机器人系统。
After detailed understanding and long-term study of multi-agent system, this thesis discussed and realized a multi-agent robot system.
建立了多智能体机器人系统模型，从逻辑学的角度对系统模型的各部分进行了定义和描述。
The system model of MAS (Multi-Agent Systems) robot is established in this paper and each part of the model is defined and described from the logic point.
提出了一个基于市场组织模型的方法，并用它控制一个多智能体机器人系统完成工业上的合作和竞争作业。
In this paper, a market organization model_based approach is presented for a multi_agent robotic system to complete cooperative and competitive operations in industry.
然后对多智能体机器人系统的通信模型进行了深入研究，给出了适合MARS的高层通信模型和底层网络拓扑结构；
Then, the communication model for MARS is deeply studied, the MARS fitted model of high layer communication and topology structure of under layer network are provided.
本文在详细了解和研究多智能体系统的基础之上讨论并实现了一个多智能体机器人系统——KD -MARCS。
After detailed understanding and long-term study of multi-agent system, this thesis discussed and realized a multi-agent robot system, KD-MARCS.
本文以足球仿真机器人系统为研究平台，研究多智能体对抗系统的高层策略学习问题。
Based on soccer robot simulation as its research platform, this paper studies the learning of high level strategy of multi-agent adversarial system.
针对多智能体静态任务分配存在的不足，提出了一种足球机器人动态任务分配算法。
A dynamic assignment allocation algorithm is presented to overcome the disadvantage of the static assignment allocation in robot soccer.
该文基于最优化方法中的复形法，对多智能体领域里的机器人足球避障问题，给出了最短路径的解决方法。
This paper gives the method of the shortest path for obstacle avoidance of robot soccer in the multigent system based on the method of complex of optimization.
机器人足球是一个很有挑战性的研究领域，它需要解决在敌对环境中多智能体合作完成特定目标的问题。
Robotic soccer is a challenging research domain which involves multiple agents that need to collaborate in an adversarial environment to achieve specific objectives.
本文提出了机器人足球赛中在卡耐基-梅隆大学（CMU）算法基础上，结合势场法进行多智能体行为控制的综合算法。
This Paper introduce extensive CMU algorithm combined with a potential field approach to control motion in robotic soccer.
多传感器融合智能检测机器人是以机器视觉技术为基础，光机电一体化的智能检测设备。
The multi-sensor fusion intelligent inspector based on machine vision technology is the intelligent inspection equipment integrated of optical, mechanical and electronic functions.
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.
机器人足球仿真比赛融合了决策与对策、路径规划、遗传算法与智能控制等学科内容，是研究多智能体的一个很好的平台。
Robot soccer competitions combined the simulation of decision-making and response, path planning, genetic algorithms and intelligent control subjects, which is a good platform for multi-agent study.
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.
BDI模型是智能体设计的一种成熟结构，本文将BDI模型应用于多机器人智能体系统设计中。
In this paper, the BDI theory is applied to the design of multi robot systems.
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.
在单操作者多智能体somr的网络机器人系统中，网络数据传输中的拥塞是瓶颈问题。
In single operator multi agent network robot system, the data congestion in the network is the key bottleneck of the whole system.
在单操作者多智能体somr的网络机器人系统中，网络数据传输中的拥塞是瓶颈问题。
In single operator multi agent network robot system, the data congestion in the network is the key bottleneck of the whole system.
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