| 基于MAS理论的特种机器人系统模型研究与设计 |
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| 引用本文： | 马礼,慈林林,葛根焰.基于MAS理论的特种机器人系统模型研究与设计[J].北京理工大学学报,2005,25(7):603-607. |
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| 作者姓名： | 马礼 慈林林 葛根焰 |
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| 作者单位： | 北京理工大学,信息科学技术学院计算机科学工程系,北京,100081;中北大学,计算机科学技术系,山西,太原,030051;北京理工大学,信息科学技术学院计算机科学工程系,北京,100081;北京信息高技术研究所,北京,100085;北京信息高技术研究所,北京,100085 |
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| 基金项目： | 国家部委预研基金
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国家部级科研项目 |
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| 摘 要： | 描述了多智能体系统中agent的逻辑语法和语义,定义了agent的主要属性,并建立了基于L规范的系统模型M.以特种机器人系统装配作业为例,对系统构成进行了分析和描述,并给出了试验验证.结果表明,MAS理论在多agent机器人系统中的应用是可行的,且这种分布式控制方式可以提高系统的可靠性.提出了使用多agent系统进行系统建模和解决多机器人协作问题的一种方法.
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| 关 键 词： | 多智能体系统 社会环境 力约束 |
| 文章编号： | 1001-0645(2005)07-0603-05 |
| 收稿时间： | 08 30 2004 12:00AM |
| 修稿时间： | 2004年8月30日 |
Study and Design of Special Robot System Model Based on The MultiAgents System Theory |
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| MA Li,CI Lin-lin and GE Gen-yan.Study and Design of Special Robot System Model Based on The MultiAgents System Theory[J].Journal of Beijing Institute of Technology(Natural Science Edition),2005,25(7):603-607. |
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| Authors: | MA Li CI Lin-lin and GE Gen-yan |
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| Institution: | Department of Computer Science and Engineering,School of Information Science and Technology,Beijing Institute of Technology, Beijing100081, China; Department of Computer Science and Technology, North University of China, Taiyuan, Shanxi030051, China;Department of Computer Science and Engineering,School of Information Science and Technology,Beijing Institute of Technology, Beijing100081, China; Beijing Institute of Information Technology, Beijing100085, China;Beijing Institute of Information Technology, Beijing100085, China |
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| Abstract: | Describes the syntax and semantics multi-agent systems (MAS) theory and at the same time defines the important properties of the agents. Establishes the system model M based on the criterion L. Based on the model of special assembling robot,describes and analyses the system structure, and presents the conclusion of tests. The results indicate the feasibility of application of MAS in multi-agent robot systems, and that the distributed control mode can improve the system's reliability. The paper puts forward a method with MAS for system modeling and multi-robots in solving problems. |
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| Keywords: | multi-agent system society environment force restriction |
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