期刊文献+

面向气味跟踪与定位的机器人变步长搜索算法 被引量:5

Variable step-size odor tracing and source localization algorithm for mobile robot
在线阅读 下载PDF
导出
摘要 面向在地面搜索地下气味源的任务,针对传统六边形路径搜索算法的不足,提出移动机器人依靠气体传感器的气味跟踪与气味源定位变步长搜索算法,并进行了非均匀土壤中实际扩散情况下的计算机仿真,证实改进算法是可行的、优越的和实用的,具有气味跟踪与气味源定位双重功能。 To perform the task of localization for underground odor source,it provides an algorithm of odor tracing-localization based on the hex-path algorithm of odor tracing.Through computer simulation work under the circumstances of even diffusion,new algorithm is proved to be feasible,effectual and practical.
作者 王俭 赵鹤鸣
出处 《计算机工程与应用》 CSCD 北大核心 2009年第2期243-245,248,共4页 Computer Engineering and Applications
基金 国家自然科学基金No.60572076 江苏省教育厅自然科学研究基金No.06KJD510169~~
关键词 主动嗅觉 气味源 跟踪 定位 步长 active olfaction odor source tracing localization step-size
  • 相关文献

参考文献10

  • 1Holland O,Melhuish C.Some adaptive movements of animats with single symmetrical sensor[C]//From Animals to Animats 4:Proceedings of the Fourth International Conference on Simulation of Adaptive Behaviour.Cambridge:MIT Press,1996:55-64.
  • 2Russell R A.Locating underground chemical source by tracking chemical gradients in 3 demeasioas[C]//Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent and System.USA:IEEE,2004:325-330.
  • 3Russell R A.Chemical seurce location and the RoboMole project[C]// Australasian Conference on Robotics and Automation,2003.
  • 4Lilienthal A,Reimann D,Zell A.Gas source tracing with a mobile robot using an adaptcd moth strategy[C]//Proceedings of American Mathematical Society 2003,Berlin.New York:Springer,2003:150.
  • 5Nakamoto T,Ishida H,Moriizumi T.Active odar sensing system[C]// Proceedings of IEEE International Symposium on Industiai Electronis.USA:IEEE,1997:128-133.
  • 6孟庆浩,李飞.主动嗅觉研究现状[J].机器人,2006,28(1):89-96. 被引量:42
  • 7庄哲民,黄惟一.机器人人工嗅觉系统设计[J].东南大学学报(自然科学版),2004,34(1):28-31. 被引量:4
  • 8张志,单越康,项荣,于洋,张健.融合视觉和嗅觉的管道探测机器人的设计与实现[J].机器人,2006,28(5):499-503. 被引量:5
  • 9Abaci S,Adwards J S.Migration of methane and leachate from landfill[C]//Proceedings of the International Conference on Environmental Management,Geo-Water and Engineering Aspects,Wollongong,Aastralia,Febuary 1993:347-350.
  • 10于涌川,原魁,邹伟.攀越过程中非同步现象对滑动转向机器人的影响[J].系统仿真学报,2007,19(20):4781-4784. 被引量:3

二级参考文献57

  • 1张秀丽,郑浩峻,赵里遥.一种小型管道检测机器人[J].机器人,2001,23(S1):626-629. 被引量:16
  • 2乔凤斌,杨汝清.六轮移动机器人爬楼梯能力分析[J].机器人,2004,26(4):301-305. 被引量:39
  • 3单越康,项荣,潘子升,冀瑜.基于微处理器的视频分划技术研究和应用[J].中国计量学院学报,2004,15(3):202-205. 被引量:1
  • 4程刚,竺长安,李川奇,陈宏,张屹,曾议,宋轶群,杨杰.突变地形下的复合结构移动越障机器人运动学建模与仿真[J].系统仿真学报,2006,18(1):148-150. 被引量:10
  • 5[1]Davide F, Natale C Di, DAmico A. Self-organizing multisensor systems for odor classification: internal categorization, adaptation and drift rejection[J]. Sensor and Actuators B, 1994, 18(1): 244-258.
  • 6[2]Hanaki S, Nakamoto T, Moriizumi T. Artificial odor-recognition system using neural network for estimating sensory quantities of blended fragrance[J]. Sensor and Actuators A, 1996, 57(1):65-71.
  • 7[3]Dauce E, Quoy M, Cessac B, et al. Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning [J]. Neural Networks, 1998, 11(3): 521-533.
  • 8[4]Lysetskiy M, Lozowski A, Zurada J. Invariant recognition of spatio-temporal patterns in the olfactory system model [J]. Neural Processing Letters, 2002, 15(3): 225-234.
  • 9[5]Natale C Di, Macagnano A, D'Amico A, et al. Electronic-nose modelling and data analysis using a self-organizing map [J]. Measurement Science & Technology, 1997, 8(11):1236-1243.
  • 10Carde R T, Mafra-Neto A. Effect of pheromone plume structure on moth orientation to pheromone [A]. Perspectives on Insect Pheromones[M]. USA: Chapman and Hall, 1996. 275-290.

共引文献45

同被引文献35

引证文献5

二级引证文献15

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部