• DocumentCode
    3722082
  • Title

    Robotic gas source localization assisted by active airflow generation

  • Author

    Ayano Murai;Kamon Yoshimoto;Ryuichi Takemura;Haruka Matsukura;Hiroshi Ishida

  • Author_Institution
    Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new robotic gas source localization method that uses actively generated airflow is proposed. A gas source localization robot searches for the location of a gas source by tracking the gas plume in the upwind direction. However, the robot often fails in tracking a gas plume in an actual environment owing to the complexity of the airflow field and the resultant plume structure. To solve this problem, we propose to simplify the complicated airflow field so that the robot can easily track the plume. Several fans are aligned in the area of interest to generate a unidirectional airflow field. Experimental results are presented to show that the proposed method enables the robot to track the gas plume more robustly in a shorter time.
  • Keywords
    "Robot sensing systems","Fans","Gas detectors","Fluid flow measurement","Mobile robots","Complexity theory"
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2015 IEEE
  • Type

    conf

  • DOI
    10.1109/ICSENS.2015.7370630
  • Filename
    7370630