计算机科学 ›› 2015, Vol. 42 ›› Issue (Z6): 112-114.

• 智能计算 • 上一篇    下一篇

基于场分布探测值多边形匹配的搜索策略

谢彦春,潘欣裕,王俭   

  1. 苏州科技大学电子与信息工程学院 苏州215009,苏州科技大学电子与信息工程学院 苏州215009,苏州科技大学电子与信息工程学院 苏州215009
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金(61372146),江苏省教育厅产业化项目:智能型液体泄漏监测仪的产品化研究(310911602),江苏省研究生创新项目(CZXX12-0815)资助

Odor Source Searching Strategy on Basis of Detected Concentration Polygon

XIE Yan-chun, PAN Xin-yu and WANG Jian   

  • Online:2018-11-14 Published:2018-11-14

摘要: 介绍一种改进的面向地下气体源搜索的策略。该策略基于土壤表层四点浓度探测值多边形的路径规划,运用计算机模拟移动机器人在三维地表依靠单个传感器多点巡回测量值或多个传感器多点同时测量值,来规划出可动态调整步长的搜索路径。该策略在烟羽发现、气味跟踪和气体源定位几个方面均呈现出较好性能。

Abstract: An improved path planning strategy of four detecting points for searching for odor source in earth,based on the concentration polygon consisting of detected values,was introduced.By using the strategy,a mobile robot with single gas sensor performing circulation detection and a robot with multiple gas sensors performing simultaneous detection both can give out searching path whose step size is dynamically adjustable.Computer simulation results show that the strategy performs well in odor plume detection,odor tracing and odor source localization.

Key words: Odor,Concentration,Olfaction,Finding,Tracing,Positioning,Strategy

[1] Holland O,Melhuish C.Some Adaptive Movements of Animates with Single Symmetrical Sensor[C]∥From Animals to Animates 4:Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior.Cambridge:MIT Press,1996:55-64
[2] Russell R A.Chemical Source Location and the RoboMole Project [C]∥Australasian Conference on Robotics and Automation,CD-ROM Proceedings.2003
[3] Lilienthal A,Reimann D,Zell A.Gas Source Tracing with a Mobile Robot Using an Adapted Moth Strategy[C]∥Proceedings of American Mathematical Society 2003.Berlin,New York:Springer,2003:150
[4] Lilienthal A,Dukett T.Building Gas Concentration Gridmapswith a Mobile Robot[J].Robotics and Autonomous Systems,2004,48(1):3-16
[5] 孟庆浩,李飞.主动嗅觉研究现状[J].机器人,2006,8(1):89-96
[6] 孟庆浩,李飞,张明路,等.湍流烟羽环境下多机器人主动嗅觉实现方法研究[J].自动化学报,2008,4(10):1281-1290
[7] 李俊彩,孟庆浩,梁琼.基于进化梯度搜索的机器人主动嗅觉仿真研究[J].机器人,2007,9(3):234-238
[8] 张小俊,张明路,孟庆浩,等.一种基于动物捕食行为的机器人气味源定位策略[J].机器人,2008,0(3):265-272
[9] 蒋萍,孟庆浩,曾明,等.融合机器人视/嗅觉信息的室内气体源识别[J].高技术通讯,2011,1(8):867-872
[10] 王阳,孟庆浩,李腾,等.室内通风环境下基于模拟退火算法的单机器人气味源定位[J].机器人,2013,5(3):283-291
[11] 王俭,季剑岚,陈卫东.基于行为特征的机器人变步长气味源搜索算法[J].系统仿真学报,2009,4(17):5427-5430,5
[12] 唐波,王俭,季剑岚.一种机器人气味源跟踪算法的性能分析[J].苏州科技学院学报:工程技术版,2008,1(2):68-71

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