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
Link To Document :
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