期刊文献+

多机器人合作与协调研究进展 被引量:4

Research progress of multi-robot cooperation and coordination
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摘要 介绍了多机器人合作与协调的国内外发展现状,重点讨论了多机器人合作与协调的研究载体——未知环境下的多机器人动态追捕问题,并针对不同的典型应用算法,作了简单的说明和比较。系统地阐明了多机器人合作与协调研究的有关方面,例如对象定义、环境探索、学习与决策、冲突消解等。在此基础上,对多机器人合作与协调的研究方向进行了展望。 This paper introduces domestic and foreign development situation of the multi-robot cooperation and coordination,ana- lyzes with emphasis the research vector of the multi-robots cooperative work--the multi-robot dynamic pursuit issue under the unknown and complicated environment,and makes simple explanation and comparison for typical application algorithms.And it states multi-robot cooperation and coordination systematic study,such as objective definition,environment exploration,learning and decision making,and contradict removing,and so on.On this basis,the forecast to the multi- robot systems research is made.
出处 《计算机工程与应用》 CSCD 北大核心 2008年第24期238-241,245,共5页 Computer Engineering and Applications
基金 国家自然科学基金No.50407017 安徽省教育厅自然科学基金重点项目No.2006KJ019A No.2007KJ052A~~
关键词 多机器人系统 动态追捕 强化学习 决策系统 multi-robot system dynamic pursuit reinforcement learning decision making system
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参考文献30

  • 1Parker L E.Current research in multi-robot systems [J].JIRS, 2003,7 : 1-5.
  • 2王月海,洪炳熔.机器人部队运动多目标合作追捕算法[J].西安交通大学学报,2003,37(6):573-576. 被引量:6
  • 3周浦城,洪炳镕,蔡则苏.多机器人运动目标搜索策略研究[J].哈尔滨工业大学学报,2005,37(7):879-882. 被引量:7
  • 4罗真,曹其新.基于短期预测的追捕方法[J].上海交通大学学报,2006,40(7):1069-1073. 被引量:5
  • 5洪炳镕,朴松昊.基于冲突消解的群体智能机器人协作研究[J].哈尔滨工业大学学报,2003,35(9):1053-1055. 被引量:8
  • 6Strehl A L,Littman M L.An empirical evaluation of interval estimation for Markov decision process[C]//Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2004). 128-135.
  • 7Lueth T C,Laengle T.Task description,decomposition,and allocation in a distributed autonomous multi-agent robot system[C]//Advaneed Robotie Systems and the Real World,IROS'94,Proeeedings of the IEEE/RSJ/GI International Conference on Intelligent Robots and Systems'94,B : 1516-1523.
  • 8Lueth T C,Laengle T,Herzog G,et al,KANTRA human-machine interaction for intelligent robots using natural language[C]//IEEE International Workshop on Robot and Human Communication, 2002-6/94:106-111.
  • 9Krzysztof Skrzypczyk.Game theory based task planning in muhi robot systems[C]//Proceeding of 16th European Simulation Symposium, 2004.
  • 10Fukuda T,Takagawa I,Hasegawa Y.From intelligent robot to multi-agent robotic system[C]//KIMAS 2003,October: 1-3.

二级参考文献106

  • 1曹志强,张斌,王硕,谭民.未知环境中多移动机器人协作围捕的研究(英文)[J].自动化学报,2003,29(4):536-543. 被引量:13
  • 2贾建强,陈卫东,席裕庚.全自主足球机器人系统关键技术综述[J].上海交通大学学报,2003,37(z1):45-49. 被引量:13
  • 3[1]Sutton R S.Learning to Predict by the Methods of Temporal Difference[J].Machine Learning, 1988; (3): 9~44
  • 4[2]Watkins J C H,Dayan Peter. Q-Learning[J].Machine Learning,1992;(8):279~292
  • 5[3]Barto Andrew G,Sutton Richard S et al. Neural-like Adaptive Elements That can Solve Difficult Learning Control Problem[J].IEEE Trans on S M and C,1983;13(5):843~846
  • 6[4]Yung N H C,Cang Ye. An Intelligent Mobile Vehicle Navigator Based on Fuzzy Logic and Reinforcement Learning[J].IEEE Trans on Sys Man and Cyber,Part B,1999;29(2):314~321
  • 7[5]F Fernandz,L E Parker. Learning in Large Cooperative Multi-robot Domains[J].Intemational J of Robot and Automation,2001; (4) :217~226
  • 8[6]Touzet C.Neural Reinforcement Learning for Behavior Synthesis[J].Robotics and Autonomous System,Special Issue on learning robots:The New Wave,1997;22:251~281
  • 9[7]Smith,Andrew James. Applications of the Self-organising Map to Reinforcement Learning[J].Neural Networks,2002; 15:1107~1124
  • 10[8]Samejima K,Omori T.Adaptive Internal State Space Construction Method for Reinforcement Learning of a Real-world Agent[J].Neural Networks, 1999; 12:1143~1155

共引文献124

同被引文献25

  • 1肖潇,方勇纯,贺锋,马博军.未知环境下移动机器人自主搜索技术研究[J].机器人,2007,29(3):224-229. 被引量:14
  • 2原魁,李园,房立新.多移动机器人系统研究发展近况[J].自动化学报,2007,33(8):785-794. 被引量:73
  • 3Xuefeng Dai, Juan Du. Hierarchical Simuhaneous Localization and Mapping Based on Discrete Event Systems[C]. In Proceedings of International Conference on Measuring Technology and Mechatronics Automation. Changsha, China, 2009:234-237.
  • 4Y Z Cao, M S Ying. Supervisory Control of Discrete Event Systems[J]. IEEE Transactions Systems, Man, Cybernetics-Part B.2005, 35(2): 366-371.
  • 5戴学丰,王林,边信黔.基于DES的水下机器人协调控制研究[C].2000中国控制与决策学术年会论文集,2000:793-796.
  • 6D Puig, M A Garcia, L wu. A new global optimization strategy for coordinated multi-robot exploration: Development and comparative evaluation[J]. Robotics and Autonomous Systems, 2011, 59: 65-653.
  • 7Gayan W Gamage, George K I Mann, Raymond G Gosine. Discrete Event Systems based Formation Control Framework to Coordinate Multiple Nonholonomic Mobile Robots[C]. 2009 IEEE/RSJ International Conference on Intelligent Robotics and Systems. (IROS 2009), 2009: 4831-4836.
  • 8KAPLAN E D, HEGARTY C I. GPS原理与应用[M].寇艳红,译.北京:电子工业出版社,2007.
  • 9赵利辉.基于多Agent机器人系统合作与协调技术研究[J].中北大学学报,2008.
  • 10Cox I J.Blanche-an experiment in guidance and navigation of an autonomous robots vehicle[J].IEEE Transactions on Robotics and Automation,1991,7(2):193-204.

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