大场地集控式足球机器人系统的研究与实现
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
足球机器人是典型的多学科交叉研究,近年来受到了人工智能、机器人和控制科学等相关领域学者的广泛关注,己成为热点研究课题。足球机器人系统研究由多个移动机器人组成的群体,在复杂的动态环境下如何组织、协调、合作,竞争、共同完成复杂任务的问题。具有实时性要求高、环境不可预测等特点。
     足球机器人系统作为一种多机器人协作自治系统,被许多研究人员作为多智能体系统的理想研究平台,研究多机器人在复杂动态环境和多重制约、干扰下,完成多任务和多目标所需的实时推理和规划技术。如何提高在动态环境中多机器人的协作能力,是其中急需研究和解决的问题。将多机器人作为一个整体,从系统的角度研究多机器人系统的整体行为和组织结构,已成为机器人、人工智能和控制、决策领域的关注热点。它将有关高科技的研究和足球联系在一起,通过竞技来检验各种理论、方法和技术的进展。系统涉及计算机视觉、多智能体理论、机器人运动控制、无线通信、微机电系统、电气传动等研究领域,也是一种小型高科技对抗平台。
     本文提出的11vs11大场地集控式足球机器人系统由视觉子系统、决策子系统、通讯子系统和机器人小车四个部分构成,依据2004年国际机器人足球联合会推出的相应竞赛要求。系统要能有良好的表现,不仅需要其各个组成部分具有优良的性能,更重要的是能具有优良的整体性能。11vs11大场地集控式足球机器人系统由于场地面积大、机器人小车多,给系统在技术上带来了很多需要解决的难题。本文深入研究了大场地集控式足球机器人系统,从理论到实践解决了这一系统的关键技术问题,设计并实现了该系统。取得的主要创新研究成果有:
     给出了一种大场地集控式足球机器人系统的构建方案,提出了一种面向大场地集控式足球机器人系统的客户机/服务器(C/S)模式体系结构的系统软件框架,通过采用内核同步机制、消息映射等多线程技术和基于Socket的网络通讯技术实现了双摄像头的采集结构和双机通信,解决了大场地条件下系统信息量大增的处理问题。提出并实现了“标识数据池”结构,增加了决策系统的“大脑”记忆功能,提高了智能化程度。
     提出了基于扰动观察器的机器人小车运动控制系统,给出了引入扰动观察器后机器人小车运动控制系统的结构,设计了控制器和扰动观察器的参数,解决了小车在大场地高速运动时的抗干扰能力,提高了小车运动的稳定性。针对机器人小车速度给定发生较大变化时,研究并实现了在车轮不打滑条件下提高加速度的速度控制算法。针对比赛过程中机器人小车运动状态需要急剧改变、经常发生顶撞等情况,研究并给出了新的速度检测方法和手段,准确地检测小车的实际运动速度,实现了可靠的速度闭环控制。
     分析了大场地条件下对视觉系统的要求,设计了一套新颖的大场地集控式足球机器人视觉系统。研究了不同颜色模型在实时彩色图像处理和目标识别中的特点,设计了一系列色标系统。针对因场地大而光照不均造成的色标缺损,给出了一套补偿算法。对两个摄像头的图像重叠部分进行了信息融合处理,分析了场地图像畸变的特点,研究并设计了满足实时性要求的图像校正处理算法。
     根据集中式决策结构,针对足球机器人系统逻辑思维形式化、规范化、知识化以及大场地空间大的特点,提出并实现了一系列基于“攻守平衡”思想的策略。设计了守门员积极防守的完整策略。分析了常用避障方法的不足,给出了一种新的动态避障算法,兼顾了实时性和避障的要求。提出了一种兼顾防守的足球机器人进攻布局及角色分配方法。最后设计实现了一套基于对方信息预测的动态攻防策略。
     研究并实现了一套满足大场地集控式足球机器人系统要求的点对多点短距离无线通信系统。
     在以上理论和技术研究成果的基础上,完成了完整的大场地集控式足球机器人系统的研究和设计。本系统参加了一系列国内、外的足球机器人竞赛,在国内连续获得冠军,2006年在德国多特蒙德举行的世界机器人足球锦标赛上获得第三名,2007年在美国旧金山举行的世界机器人足球锦标赛上获得亚军。表明了本文给出的大场地集控式足球机器人系统良好的稳定可靠性、实时性与总体性能先进性。
Soccer robot is a typical crossed research with multi-subjects,which has been a hot researching subject and widely concemed by many scholars from corresponding areas such as artificial intelligence,robot and control science in recent years.Soccer robot system does research on how to organize,harmonize,collaborate,contest and finally achieve the complicated task together by a group of mobile robots in the dynamic complicated environment.It has high demand of real time and inscrutability of environment.
     Soccer robot system,a kind of autonomous system by the collaboration of multi-robot, is regarded as an ideal researching platform of multi-Agent by many researchers,it is used to study the real-time deduction and planning technology which are necessary for multi-robot to achieve multi-object and multi-task in complicated dynamic environment with much restriction and disturbance.The most urgent problem for researching and solving is how to improve the collaborating ability among robots in dynamic environment. Research on the behavior and organizing construction of multi-robot system as a whole in view of system has been a focus in the areas of robot,artificial intelligence,control and strategy.It connects the high technology with football and test the development of various theories,methods and technologies through matches.The system refers to many researching areas such as computer vision,multi-Agent theory,robot movement control, wireless communication,micro mechanics and electronics system,electric transmission and so on,it is a small opposed platform of high science and technology.
     Centralized control soccer robot system of large league 11 vs 11 proposed in this paper is composed of vision subsystem,strategy subsystem,communication subsystem and robot subsystem,which is in accordance with the relative rules released by FIRA in 2004.To obtain more excellent performance of the system,the better capability is need not only in part,but also as a whole.There are many technological problems in the centralized control soccer robot system of large league brought by the large area of ground and more robots.In his paper,deep research is made on the soccer robot system of large league and solve a series of critical problems of technology from theory to practice,finally design and realize the system.Main innovative researching achievements are as follows:
     A kind of plan was proposed to construct the centralized control soccer robot system of large league,the C/S mode software structure for the system was presented,image capturing structure by two cameras and communication between two computers were realized through adopting multi-thread technology of kernel synchronization,messages map and internet communication technology based on Socket,which had solved the problem of greatly increased data for process.Flag data pool was designed and realized, which can improve the memory of strategy system brain,as well as the intelligence of the system.
     The movement control of robot based on disturbing observer was presented, movement control structure of robot was determined after the introduction of disturbing observer,parameters of controller and disturbing observer were designed,as a result,the anti-disturbance and stability of robot were improved while moving with high velocity in the large ground.Velocity controlling algorithm with high acceleration was researched and realized without slip when the velocity was greatly changed.As the movement status of robot and collision between robots frequently happened,new detecting method and means were researched,which can detect the robot velocity accurately and realize the closed-loop control of velocity reliably.
     After analyzing the demand of vision system in large league,a new set of vision system was designed for centralized control soccer robot system of large league.A series of color patch system was designed after researching on the characteristics of different color models in real-time image process and object detection.A set of algorithm was designed to compensate the loss of color patch which was caused by illumination unbalance.Information from overlapped part of images captured by two cameras was merged,and image calibration algorithm was designed which can meet the need of real time after analyzing the characteristic of image distortion.
     According to the structure of centralized strategy,considering the characteristic of formalization,standardization and knowledgeability of logical thinking for soccer robot system and the large area of ground,a series of strategy based on the idea that attack and defence should be balanced was proposed and realized.After analyzing the defects of commonly used algorithm for avoiding obstacle,a new set of dynamic algorithm for avoiding obstacle was presented,which can both meet the needs of real time and avoiding obstacle.A kind of method which was used to dispose attacking and defending robots and allocate roles was proposed.Finally a set of dynamic attacking and defending strategy base on the prediction of opponents information was realized.
     A set of wireless communication system of one point to multi-point in short distance was researched and realized,which can meet the need of centralized control soccer robot system of large league.
     Based on the above theories and technological achievements,research and design of integrated centralized control soccer robot system of large league was completed.The system was used to take part in a series of domestic and international matches,champion was obtained in consecutive three years in domestic matches,third place was awarded at the FIRA RoboWorld Cup held in Dortmund Germany in 2006,second place was awarded at the FIRA RoboWorld Cup held in San Francisco USA in 2007,it is proved that centralized control soccer robot system of large league introduced in this paper have nice performance of stability,reliability,real time and advanced whole system.
引文
[1]N.Nilsson.A mobile automation.An application of artificial intelligence techniques.In Proc IJCAI,1969
    [2]M.Daily.Autonomous Cross-Count Navigation With the ALV[A].IEEE Int.Conf.Robotic and Automation[C].1988.718-726
    [3]E.Triend,D.J.Kringman.Stereo Vision and navigation within Buildings[A].IEEE Int Conf Robotics and Automation[C].1987.1725-1730.
    [4]Alan.K.Mackworth.On seeing robot[A].Computer vision System,theory and applications[M].Singapore:World Scientific Press,1993.1213.
    [5]Jong-Hwan Kim.Lecture notes on multirobot cooperative system development[M].Seoul:Green Publishing Company,1998.
    [6]洪炳熔,韩学东,孟伟.机器人足球比赛研究[J].机器人.2003,25(4):373-374
    [7]高大志,张春晖,徐心和.机器人足球--智能机器人的新领域[J].机器人.1998,20(4):309-310
    [8]Arai.T,Ota.J.Motion Planning of Multiple Mobile Robots[J].IEEE Proc Int Confon Intelligent Robots and System.1992:1761-1768
    [9]Hong Bingrong,Gao Quansheng,Chu Haitao.Robot soccer simulation competition platform based on multi-agent[J].Journal of Harbin Institute of technology.2001,8(3):203-206
    [10]洪炳熔.机器人足球的意义及我国机器人足球发展战略[M].钟义信编.中国人工智能学会第九届全国学术年会论文集.北京:北京邮电大学出版社,2003,967-972
    [11]洪炳熔.机器人足球能否打败人类足球队J].计算机科学.2002,29(10):23-25
    [12]徐心和,高大志.足球机器人与国际机器人足联的发展[C].机器人足球研讨班论文集.沈阳:东北大学,1998,7-10
    [13]K.H.Kim,K.W.Ko,J.G.Kim.The development of a micro robot system for robot soccer game[J].1997 IEEE International Conference on Robotics and Automation.1997,1:644-649
    [14]S.W.Park,J.H.Kim,E.H.Kim,J.H.Oh.Development of a multi-agent system for robot soccer game[J].1997 IEEE International Conference on Robotics and Automation.1997,1:626-631
    [15]洪炳熔,刘新宇.基于视觉的机器人足球系统[J].计算机应用研究.2001,1:1-3
    [16]D.Feng.Analysis of Kinematical Performance of Micro soccer Robot[J].Proc.Of World Congress,on Intelligent Control and Automation.2002,1:501-505
    [17]G.Campion,G.Bastin.Structure Properties and Classification of kinematic and dynamic models of wheeled mobile robots[J].IEEE Trans.Robotics and Automation.1996,12(1):47-62
    [18]S.Lee.Motion Control for Micro-robots play soccer games[J].Proc.IEEE Conf.on Robotics and Automation.1998,3:2599-2604
    [19]Y.Kanayama,Y.Kimura,F.Miyazaki and T.Noguchi.A Stable Tracking Control Method for an Autonomous Mobile Robot[J].Proc.IEEE Int.Conf.Robotics and Automat.1990,1:384-389
    [20]R.A.Brooks.A Robust Layered Control System For A Mobile Robot[J].IEEE Journal of Robotics and Automation.1986,2(1):14-23
    [21]S.Buck,U.Weber.Multi-Robot path planning for dynamic environments[J].Proc.IEEE Conf.On Intelligent Robots and Systems.2001,3:245-1250
    [22]H.S.Shim,M.J.Jung,H.S.Kim,I.W.Choi,W.S.Han and J.H.Kim.Designing Distributed Control Architecture for Cooperative Multi-agent Systems[J].Proceedings MIROSOT'96.1996,19-25
    [23]J.H.Kim.A cooperative Multi-Agent System and its Real Time Application to Robot Soccer[J],Proc.IEEE Conf.on Robotics and Automation.1997,1:638-643
    [24]张艳珍,袁野.基于区域投影的微型足球机器人系统识别[J].机械科学和技术.2001,20(2):318-321
    [25]Newton Laboratories.Cognachrome image capture device.http: //www.newtonlabs.com,1999.
    [26]H.E.Chao,R.Xiong.Fast Segmentation and Identification in Vision System for Soccer Robots[J].Proc.Of the 4th World Congress on Intelligent Control and Automation.2002,1:532-536
    [27]吴丽娟,张春晖,徐心和.足球机器人决策系统推理模型[J].东北大学学报(自然科学版).2001,22(6):597-599
    [28]王湘中,喻寿益,龙永红.机器人足球比赛中队员角色的动态分配策略[J].哈尔滨工业大学学报.2004,36(7):943-945
    [29]H.K.Lam,T.H.Lee.Decision Maker for Robot Soccer[J].The 27th Annual Conference of IEEE Industrial Electronics Society.2001,1:43-48
    [30]韩学东,洪炳熔,孟伟.机器人足球射门算法研究[J].哈尔滨工业大学学报.2001,35(9):1064-1066
    [31]吴丽娟,徐心和.足球机器人系统中角色分配的设计[J].基础自动化.2002,7(1):4-6
    [32]http://www.fira.org
    [33]Han.K.H,Kim.T.M,Seo.B.L,Oh.S.J.The Improvement of MIRAGE Robot System[J].Proc MIROSOT' 97,1997:55-58
    [34]Vermaak.C.S.R,Rathaba.P.Development of a Gaming Strategy for Soccer Robots Using Optimal Methods][J].IEEE Africon,2002
    [35]吴宪祥,郭宝龙.集控式足球机器人关键技术的研究[J].计算机工程.2005,31(17):168-170
    [36]东北大学机器人研究室.微型机器人设计与开发--讲座连载[J].机器人技术与应用.1996,(6)-2000,(5)
    [37]DongHun Lee,KyungHun Hwang,DoEun.Kim,ChaeWook Chung.A Dual Camera Based Vision Processing System of ICRO(KINGGO) For the Large League MIROSOT[J].Singapore 2005 FIRA Robot World Congress.2005
    [38]温诗铸.摩擦学原理[M],清华大学出版社,1990.01.
    [39]Goh Pit Khiam,Ruan ZhiLong,Leong Kum Cheong.REAL-TIME COLOUR VISION TRACKING SYSTEM.FIRA Robot World Congress 2004.
    [40]Ching-chang Wong,Heng Chih Teng,Cheng-hui Wu.Role Construction and Recognition Design for FIRA MiroSot X-Large League[J].KOREA 2004 FIRA Robot World Congress.2004
    [41]Jiang H,Peng Q,Lee HA,C Teoh EL,Sng HL.Robot and Ball Detection for MiroSot Large League[J].KOREA 2004 FIRA Robot World Congress.2004
    [42]H.S.Kim,H.S.Shim,M.J.Jung and J.H.Kim.Action Selection Mechanism for Soccer Robot[J].IEEE Int.Syrup.on Computational Intelligence in Robotics and Automation.1997,Monterey,CA.,390-395
    [43]H.K.Lam,T.H.Lee.Decision Maker for Robot Soccer.The 27th Annual Conference of IEEE Industrial Electronics Society[J].2001,1:43-48
    [44]张小川,李祖枢,刘海涛,李勇.足球机器人决策子系统的分析与设计[J].华中科技大学学报(自然科学版).2004,32(增刊):146-149
    [45]徐心和,薛方正,冯挺.集控式足球机器人决策与控制系统设计与开发[J].机器人.2005,27(5):431-433
    [46]刘宏志.一种改进的射门算法[J].哈尔滨工业大学学报.2004,36(7):975-977
    [47]王牛,李祖枢,潘娅.基于预测的足球机器人抢点射门动作实现研究[J].华中科技大学学报(自然科学版).2004,32(增刊):143-145
    [48]韩学东,洪炳镕,孟伟.机器人足球射门算法研究.哈尔滨工业大学学报第35卷第9期,2003年9月
    [49]顾晓锋,张代远.机器人足球比赛截球策略设计[J].计算机应用.2005,25(8):1858-1860
    [50]陈波,杨宜民.关于足球机器人避障控制的研究[J].机器人,2004,26(2):111-113.
    [51]陈鑫,吴敏.足球机器人决策子系统设计与分析[J].计算技术与自动化.2001.10(4):123-146
    [52]唐平,杨宜民.从宏观和微观论多智能体系统与足球机器人系统 体系结构[J].控制理论与应用.2003,20(1):72-85
    [53]王文学,孙萍,徐心和.多智能足球机器人的关键技术[J].东北大学学报.2001,22(2):34-46
    [54]Jeffery Richter.Programming Applications for Microsoft Windows[M].第4版.北京:机械工业出版社,2000
    [55]Jim Beveridge,Robert Wiener.Multithreading Applications in Win32[M].武汉:华中科技大学出版社,2002
    [56]Anthony Jones,Jim Ohlund.Network Programming for Microsoft Windows[M].北京:机械工业出版社,2000
    [57]蔡自兴.人工智能及其应用[第3版].北京:清华大学出版社,2001
    [58]方帅,胡英.集控式足球机器人视觉子系统的关键技术.东北大学学报(自然科学版),2003,24(11)
    [59]黄卜夫,熊蓉.基于视觉足球机器人无线通讯子系统的设计.工程设计学报,2002,19(5)
    [60]戴博,肖晓明,蔡自兴.移动机器人路径规划技术的研究现状与展望[J].控制工程,2005,12(3):198-202
    [61]柳长安,陈岩,刘春阳等.基于避障区域的足球机器人路径规划方法[J].高技术通讯,2005,15(9):34-37
    [62]朴松昊,洪炳熔.一种动态环境下移动机器人的路径规划方法[J].机器人,2003,25(1):18-22
    [63]陈宗海,陈锋.一种不确定环境下移动机器人的避障规划算法[J].机器人,2003,25(4):358-361.
    [64]Baghaei.Khashayar R.Agah,Arvin.Multi-agent task allocation for robot soccer Journal of Intelligent Systems,v 16,n 3,2007,p 207-240.Database:Compendex
    [65]周军,景征骏,陈盛等.基于攻守平衡的足球机器人进攻策略的设计与实现[J].哈尔滨工业大学学报,2006,38:1339-1342.
    [66]Kim,Dong-Han Kim,Jong-Hawan A real-time limit-cycle navigation method for fast mobile robots and its application to robot soccer Robotics and Autonomous Systems,v 42,n 1,Jan 31,2003,p 17-30
    [67]Camacho,David Fernandez,Fernando;Rodelgo,Miguel A.Roboskeleton: An architecture for coordinating robot soccer agents Engineering Applications of Artificial Intelligence,v 19,n 2,March,2006,p 179-188
    [68]Kang,Jin-Shik Rhim,Chul Woo LPD(linear parameter dependent)system modeling and control of mobile soccer robot International Journal of Control,Automation and Systems,vl,n2,June,2003,p 243-251
    [69]Johnson,Jeffrey H.Iravani,Pejman The multilevel hypernetwork dynamics of complex systems of robot soccer agents ACM Transactions on Autonomous and Adaptive Systems,v2,n2,Jun 1,2007,pl242062
    [70]Fan,Changhong Chen,Weidong;Xi,Yugeng Behavior-based implicit planning method and its application to robot soccer system High Technology Letters,v 11,n1,March,2005,p41-46
    [71]Kim.Hyoung-Rock,Hwang.Jung-Hoon,Kwon.Dong-Soo.Co-operative strategy for an interactive robot soccer system by reinforcement learning method International Journal of Control,Automation and Systems,vl,n2,June,2003,p236-242
    [72]Matko.Drago,Klancar.Gregor,Lepetic.Marko,A tool for the analysis of robot soccer game.International Journal of Control,Automation and Systems,v1,n2,June,2003,p222-228
    [73]Santos.Juan Miguel,Scolnik.Hugo Daniel,Laplagne.Ignacio.UBA-Sot:An approach to control and team strategy in robot soccer.International Journal of Control,Automation and Systems,vl,nl,March,2003,p149-155
    [74]Weigel.Thilo.Jens-Steffen,Dietl.Markus,Kleiner.Alexander,Nebel.Bernhard.Coordinating robots for successful soccer playing Gutmann,IEEE Transactions on Robotics and Automation,v18,n5,October,2002,p685-699
    [75]Becanovic.Vlatko,osseiny.Ramin,Indiveri.Giacomo.H.Robot soccer using optical analog vlsi sensors.International Journal of Robotics and Automation,v19,n4,Neuromorphic Systems,2004,p213-221
    [76]Browning.Brett.Turning Segways into soccer robots Industrial Robot,v32,n2,2005,pl49-l56
    [77]Treptow.Andre,Zell.Andreas.Real-time object tracking for soccer-robots without color information Robotics and Autonomous Systems,v48,nl,Aug31,2004,European Conference on Mobile Robots,p41-48
    [78]Maravillas.E.A,Dadios.E.P.Fira middle-league robot soccer game strategy Control and Intelligent Systems,v35,n4,2007,p377-385
    [79]Beetz.Michael.The AGILO robot soccer team-Experience-based learning and probabilistic reasoning in autonomous robot control.Autonomous Robots,v17,nl,July,2004,Analysis and Experiments in Distributed Multi-Robot Systems,p55-77
    [80]Zhou.Changjiu,Yue.Pik Kong.Robo-Erectus:A low-cost autonomous humanoid soccer robot.Advanced Robotics,v18,n7,2004,p717-720
    [81]Zhang.Pei-Yan,Lu.Tian-Sheng,Song.Li-Bo.Soccer robot path planning based on the artificial potential field approacch with simulated annealing.Robotica,v22,n5,September/October,2004,p563-566
    [82]Huang.L,Song.Q.,Kasabov.N.Evolving.connectionist system based role allocation for robotic soccer.International Journal of Advanced Robotic Systems,v5,nl,March,2008,p59-62
    [83]Klancar.Gregor,Kristan.Matej,Kovacic.Stanislav,Orqueda.Omar.Robust and efficient vision system for group of cooperating mobile robots with application to soccer robots.ISA Transactions,v43,n3,July,2004,p329-342
    [84]Kose.Hatice,Celik.Buluc,Akin.H.Levent.Comparison of localization methods for a robot soccer team.International Journal of Advanced Robotic Systems,v3,n4,December,2006,p295-302
    [85]Duan.Yong,Liu Qiang,Xu Xin He,Application of reinforcement learning in robot soccer Engineering Applications of Artificial Intelligence,v20,n7,October,2007,p936-950
    [86]Sluzek Andrzej.Minh,Phung Khoi Duy.Embedded vision module for robot-soccer.IEEE International Conference on Computer Systems and Applications,2006,p 159-162
    [87]Liu Jing-Sin,Liang Tzu-Chen,Lin Yi-An,Realization of a ball passing strategy for a robot soccer game:A case study of integrated planning and control,Robotica,v22,n3,May/June,2004,p329-338
    [88]Mahlknecht.Stefan,Oberhammer.Roland,Novak.Gregor.A real-time image recognition system for tiny autonomous mobile robots.Real-Time Systems,v29,n2-3,March,2005,p247-261
    [89]Kok.Jelle.R,Vlassis.Nikos,Non-communicative multi-robot coordination in dynamic environments,Robotics and Autonomous Systems,v50,n2-3,Feb 28,2005,Multi-Robots in Dynamic Environments,p99-114
    [90]Becanovic.Vlatko,Hosseiny.Ramin,Indiveri.Giacomo,Robot soccer using optical analog vlsi sensors,International Journal of Robotics and Automation,v19,n4,Neuromorphic Systems,2004,p213-221
    [91]Maravillas.E.A,Dadios.E.P,Fira middle-league robot soccer game strategy,Control and Intelligent Systems,v35,n4,2007,p377-385
    [92]魏天滨,孟庆春,庄晓东.一种足球机器人视觉系统非线性畸变的数字校正方法.计算机技术与应用.2002,4:37-40
    [93]Huang.L,Song.Q,Kasabov.N,Evolving connectionist system based role allocation for robotic soccer,International Journal of Advanced Robotic Systems,v5,n1,March,2008,p59-62
    [94]Klancar.Gregor,Kristan.Matej,Kovacic.Stanislav,Orqueda.Omar.Robust and efficient vision system for group of cooperating mobile robots with application to soccer robots,ISA Transactions,v43,n3,July,2004,p329-342
    [95]Belkhouche.Fethi,Belkhouche,Boumediene.Modified parallel navigation for ball interception by a wheeled mobile robot goalkeeper,Advanced Robotics,v20,n4,2006,p429-452
    [96]Ramani.R,Viswanath.P,Arjun.B.Geetha,Ant intelligence in robotic soccer,International Journal of Advanced Robotic Systems,v5,n1,March,2008,p49-58
    [97]Whiteson.Shimon,Kohl.Nate,Miikkulainen.Risto,Stone.Peter,Evolving soccer keepaway players through task decomposition,Machine Learning,v59,nl-2,May,2005,p5-30
    [98]Kotzian.Jiri,Machacek.Zdenek,Srovnal Jr.Vilem,Srovnal.Vilem,Embedded control system for the mobile robot,WSEAS Transactions on Systems,v4,n 12,December,2005,p2261-2268
    [99]Fraser.Gordon.AI planning for robotic soccer,OGAI Journal(Oesterreichische Gesellschaft fuer Artificial Intelligence),v24,n3,October,2005,p15-18
    [100]Chen.Zengshi,Hemami.Mahmoud,Sliding mode control of kicking a soccer ball in the sagittal plane,IEEE Transactions on Systems,Man,and Cybernetics Part A:Systems and Humans,v37,n6,November,2007,p1131-1139
    [101]Mahlknecht.Stefan,Oberhammer.Roland,Novak.Gregor.A real-time image recognition system for tiny autonomous mobile robots,Real-Time Systems,v29,n2-3,March,2005,p247-261
    [102]Klancar.Gregor,Kristan.Matej,Karba.Rihard,Wide-angle camera distortions and non-uniform illumination in mobile robot tracking,Robotics and Autonomous Systems,v46,n2,Feb 29,2004,p125-133
    [103]Jesse.Norbert.The challenge of the fira mirasot league for education and research-Some further comments,VDI Berichte,n 1956,2006,p157
    [104]Klancar.Gregor,Zupancic.Borut,Karba.Rihard.Modelling and simulation of a group of mobile robots,Simulation Modelling Practice and Theory,vl 5,n6,July,2007,p647-658
    [105]Hwang.Kao-Shing,Chen.Yu-Jen,Lee.Ching-Huang.Reinforcement learning in strategy selection for a coordinated multirobot system,IEEE Transactions on Systems,Man,and Cybernetics Part A:Systems and Humans,v37,n6,November,2007,p1151-1157
    [106]Balogh.Richard,A survey of robotic competitions,International Journal of Advanced Robotic Systems,v2,n2,June,2005,p144-160
    [107]Faigl.Jan,Krajnik.Tamas,Saska.Martin,Stepan.Petr,Kulich.Miroslav.Reasoning and planning for robotsoccer,VDI Berichte,n1956,2006,p 155
    [108]Marques.Carlos,Lima.Pedro,Avoiding obstacles.IEEE Robotics and Automation Magazine,v11,n3,September,2004,Semiconductor Factory Automation Part 2,p70-82
    [109]John Harvey,Chao Cheng,Dennis Michaelson.High-Leve Design ofa MiroSot Simultor[J].Micro-Robot World Cup Soccer Tournament Proceedings.1996,10(3):8-10
    [110]Jong-Hwan Kim.Action Selection and Strategies in Robot Soccer Systems[A].Dept of Electrical Engineering[C].Republic of Korea.2001,7(6):13-16
    [111]陈鑫,吴敏.足球机器人决策子系统设计与分析[J].计算技术与自动化,2001,10(4):123-146
    [112]Hwang,Kao-Shing Tan,Shun-Wen;Chen,Chien-Cheng Cooperative strategy based on adaptive Q-learning for robot soccer systems IEEE Transactions on Fuzzy Systems,v 12,n 4,August,2004,Robotics,p 569-576
    [113]钟碧良,扬宜民。足球机器人协调控制的研究.电机与控制学报.2003,7(2):55-67
    [114]王文学,赵侏颖,孙萍,徐心和,多智能足球机器人的关键技术.东北大学学报。2001,22(2):34-46
    [115]Goh Pit Khiam,Ruan ZhiLong,Leong Kum Cheong.Real-time Obstacle Avoidance System[C].Singapore:FIRA Robo World Congress,2005.
    [116]吴丽娟,徐心和.基于遗传算法的足球机器人比赛中障碍回避策略的设计[J].哈尔滨工业大学学报,2001,23(2):142-145.
    [117]Jong-Hwan Kim.Action Selection and Strategies in Robot Soccer Systems [A].Dept of Electrical Engineering[C].Republic of Korea.2001,7(6):13-16
    [118]洪炳熔.机器人足球比赛-发展人工智能的里程碑[J].电子世界.2000(4):4-5.
    [119]洪炳熔.机器人足球的最终目标及其实现途径[J].华中科技大学学报(自然科学版).2004,32(增刊):20-23
    [120]Kose.Hatice,Comparison of localization methods for a robot soccer team Celik, Buluc;Akin,H.Levent,International Journal of Advanced Robotic Systems,v 3,n 4,December,2006,p 295-302
    [121]陈小伟,张俊.混合型Agent在MiroSot的应用研究.计算机工程与应用,2003,39(26)
    [122]吴丽娟.基于机器人足球比赛的进攻策略的实现.微型计算机应用第23卷第6期,2002年11月.
    [123]John Harvey,Chao Cheng,Dennis Michaelson.High-Level Design of a MiroSot Simultor[J].Micro-Robot World Cup Soccer Tournament Proceedings.1996,10(3):8-10
    [124]韩学东,洪炳镕,孟伟.机器人足球射门算法研究.哈尔滨工业大学学报第35卷第9期,2003年9月
    [125]刘宏志.一种改进的射门算法.哈尔滨工业大学学报第36卷第7期,2004年7月
    [126]Agilent ADNS-2051 Optical Mouse SensorData Sheet http://www.agilent.com
    [127]顾晓锋,张代远.机器人足球比赛截球策略设计.计算机应用第25卷第8期,2005年8月
    [128]Yang Quan Chen,Bias M.Vinagre & Igor Pldlubny.On Fractional Order Disturbance Observer.http://www.csois.usu.edu/people/yqchen.September.003.
    [129]Kok Kiog Tan,Tong Heng Lee,Hui Fang Dou,Shok Jun Chin & Shao Zhao.Precision Motion Control With Disturbance Observer for Pulsewidth-Modulated-Driven Permanent-Magnet Linear Motors.IEEE TRANSACTIONS ON MAGNETICS,VOL.39,No.3,MAY 2003.
    [130]Young jin Choi,Kwangjin Yang,Wan Kyun Chung,Hong Rok Kim and I1 Hong Suh.On the Robustness and Performance of Disturbance Observers for Second-Order Systems.IEEE TRANSACTIONS ON AUTOMATIC CONTROL,VOL.48,NO.2,FEBRUARY 2003.
    [131]Seung-Hi Lee,Chung Choo Chung.RobustControl Using A State Space Disturbance Obserber.Proceedings of the 42nd IEEE Conference on Decision and Control,Maui,Hawaii USA,December 2003.
    [132]黄永志等.两轮移动机器人运动控制系统的设计与实现.机器人杂志.2004.1.
    [133]Mi-Hoi Koo,Yun-Ki Lee,Kang-Hee Lee,Tae-Hun Kim.Development of Robot Soccer System for 11-A-SIDE MiroSot[J].2004 FIRA Robot World Congress.2004
    [134]刘金根.一种基于现场定标的光电图像畸变校正算法[J].光子学报,2004,第33卷第6期:732-735.
    [135]赵臣,韩晓军,阴炳皓.向量场中微型足球机器人路径规划优化分析.天津大学学报,2004年1月.第37卷.第1期
    [136]王牛,李祖枢,潘娅,王姮.基于意图的多智能体协调机制及其在Mirosot机器人足球系统中的应用,机器人.2007年11月.Vol.29,No.6
    [137]蒲勇,周兴社,王宇英.基于最优搜索的足球机器人射门算法,计算机应用.2007年12月.Vol.27 No.12
    [138]刘柞时,胡发焕.足球机器人视觉图像的快速识别.计算机工程.2007年9月.Vol33.No17.p234-236
    [139]吕冬梅,颜秉勇,刘喜梅.基于consensus 的人工势能场在足球机器人避障中的应用,高技术通讯2007年7月第17卷第7期
    [140]邢云冰,史浩山,赵洪钢,纪雯,基于足球机器人截球动作的提前角导引算法研究.系统仿真学报2007年1月Vol.19 No.2
    [141]柳在鑫,王进戈,朱维兵.足球机器人的双圆弧射门算法研究.西安交通大学 学报,2007年11月Vol41.No11
    [142]薛方正,李庆,徐心和.足球机器人控制体系结构的研究.控制与决策.Vo 1.21 No.7
    [143]陈尔奎,曹志强,谭民.移动机器人路径规划策略南京理工大学学报2005年10月.第29卷增刊Vol29

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700