引用本文:陈卫东,席裕庚,顾冬雷,董胜龙.一个面向复杂任务的多机器人分布式协调系统[J].控制理论与应用,2002,19(4):505~510.[点击复制]
CHEN Wei-dong,XI Yu-geng,GU Dong-lei,DONG Sheng-long.Complex task oriented multi-robot distributed coordination system[J].Control Theory and Technology,2002,19(4):505~510.[点击复制]
一个面向复杂任务的多机器人分布式协调系统
Complex task oriented multi-robot distributed coordination system
摘要点击 1693  全文点击 2434  投稿时间：2000-09-12  修订日期：2001-04-16
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DOI编号  
  2002,19(4):505-510
中文关键词  多机器人  协调与合作  多智能体  分布式自治系统  递阶混合式协调结构
英文关键词  multi-robot  coordination and cooperation  multi-agent  distributed autonomous systems  hierarchical & hybrid coordination architecture
基金项目  国家自然科学基金(69889501,60105005); 国家863计划(2001AA422140)资助项目.
作者单位E-mail
陈卫东 上海交通大学 自动化研究所, 上海200030 wdchen@sjtu.edu.cn  
席裕庚 上海交通大学 自动化研究所, 上海200030  
顾冬雷 中国科学院机器人学开放研究实验室, 沈阳110003  
董胜龙 中国科学院机器人学开放研究实验室, 沈阳110003  
中文摘要
      基于多智能体系统理论, 研究在非结构、不确定环境下面向复杂任务的多机器人分布式协调系统的实现原理、方法和技术. 提出的递阶混合式协调结构、基于网络的通讯模式和基于有限状态机的规划与控制集成方法, 充分考虑了复杂任务和真实自然环境的特点. 通过构建一个全实物的多移动机器人实验平台, 对规划、控制、传感、通讯、协调与合作的各关键技术进行了开发和集成, 使多机器人分布式协调技术的研究直接面向实际应用, 编队和物料搬运的演示实验结果展示了多机器人协调技术的广阔应用前景.
英文摘要
      Based on the multi-agent system theory, we studied the theory, method and technology of the multi-robot distributed coordination systems performing complex tasks in uncertain environment. Focusing on the fundamental theories and key technologies of multi-robot distributed coordination systems, we proposed some novel ideas, including hierarchical & hybrid coordination architecture, network-based communication as well as integration of planning and reactive control based on the finite state automata (FSA). Particular focus is placed on the task complexity and environment uncertainty. Building a full physical experimental system of the multi_robot system composed of four autonomous mobile robots, a number of key techniques have been developed and integrated such as distributed planning, control, sensing, communication, coordination and cooperation strategies, etc. Using the real multi-robot experimental testing platform, our research faced the practical application problems directly. The experiment results demonstrate the application of our distributed coordination approach for a group of mobile robots performing different tasks such as multi-robot formation and cooperative object transport.