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.
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.
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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