Biologically-inspired Search Strategy for Locating Odor Source

被引:1
|
作者
Zhang, Xiaojun [1 ]
Zhang, Minglu [1 ]
机构
[1] Hebei Univ Technol, Sch Mech Engn, Tianjin 300130, Peoples R China
关键词
D O I
10.1109/ICNC.2008.228
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A mobile robot with gas sensors is able to detect and localize odor sources. Inspired from the animal predatory behavior, the paper presents a new search strategy for locating odor source by mobile robot. The behavior of the robot search odor source is divided into two main parts, namely, the global search and local search. The search strategy fuses with the information from gas sensors, wind direction sensor, ultrasound sensors, etc. Problems of obstacle avoidance and repetitive search of the mobile robot are considered when searching odor source, and the conditions for odor source declaration are presented. Experimental results on the search for a leaking bottle with alcohol in an indoor environment demonstrate the high efficiency and validity of the localization strategy.
引用
收藏
页码:342 / 346
页数:5
相关论文
共 50 条
  • [1] Biologically-inspired search algorithms for locating unseen odor sources
    Belanger, JH
    Willis, MA
    [J]. JOINT CONFERENCE ON THE SCIENCE AND TECHNOLOGY OF INTELLIGENT SYSTEMS, 1998, : 265 - 270
  • [2] Biologically-inspired pattern recognition for odor detection
    Roppel, T
    Wilson, DM
    [J]. PATTERN RECOGNITION LETTERS, 2000, 21 (03) : 213 - 219
  • [3] A Biologically-Inspired Approach for Object Search
    Saifullah, Mohammad
    [J]. WORLD CONGRESS ON ENGINEERING - WCE 2013, VOL II, 2013, : 792 - 797
  • [4] SPIRAL: A novel biologically-inspired algorithm for gas/odor source localization in an indoor environment with no strong airflow
    Ferri, Gabriele
    Caselli, Emanuele
    Mattoli, Virgilio
    Mondini, Alessio
    Mazzolai, Barbara
    Dario, Paolo
    [J]. ROBOTICS AND AUTONOMOUS SYSTEMS, 2009, 57 (04) : 393 - 402
  • [5] Biologically-inspired Soft Exosuit
    Asbeck, Alan T.
    Dyer, Robert J.
    Larusson, Arnar F.
    Walsh, Conor J.
    [J]. 2013 IEEE 13TH INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR), 2013,
  • [6] A Biologically-Inspired Nanoantenna Array
    Yusuf, Yazid
    Behdad, Nader
    [J]. 2012 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM (APSURSI), 2012,
  • [7] A BIOLOGICALLY-INSPIRED IMPROVED MAXNET
    YADIDPECHT, O
    GUR, M
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 1995, 6 (03): : 757 - 759
  • [8] Biologically-Inspired Neuromorphic Computing
    Olin-Ammentorp, Wilkie
    Cady, Nathaniel
    [J]. SCIENCE PROGRESS, 2019, 102 (03) : 261 - 276
  • [9] A biologically-inspired MANET architecture
    Kershenbaum, Aaron
    Pappas, Vasilieos
    Lee, Kang-Won
    Lio, Pietro
    Sadler, Brian
    Verma, Dinesh
    [J]. DEFENSE TRANSFORMATION AND NET-CENTRIC SYSTEMS 2008, 2008, 6981
  • [10] A multi-sensory robot for testing biologically-inspired odor plume tracking strategies
    Bailey, JK
    Willis, MA
    Quinn, RD
    [J]. 2005 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, VOLS 1 AND 2, 2005, : 1477 - 1481