Paper Info
Title
Biologically-Inspired Search Strategy for Locating Odor Source
Abstract
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.
Year
DOI
Venue
2008
10.1109/ICNC.2008.228
ICNC
Keywords
Field
DocType
odor source declaration,odor source,mobile robots,robot search odor source,global search,localize odor source,odor source location,odor source detection,search strategy fuse,repetitive search,gas sensor,obstacle avoidance,biologically-inspired search strategy,local search,mobile robot,wind direction sensor,electronic noses,collision avoidance,ultrasound sensor,new search strategy,locating odor source,wind speed,robots,ultrasound
Obstacle avoidance,Computer vision,Odor,Computer science,Artificial intelligence,Local search (optimization),Fuse (electrical),Robot,Mobile robot
Conference
Volume
ISBN
Citations 
4
978-0-7695-3304-9
2
PageRank 
References 
Authors
0.44
6
2
Name
Order
Citations
PageRank
Xiaojun Zhang120.44
Minglu Zhang22715.35