Collective Odor Source Estimation and Search in Time-Variant Airflow Environments Using Mobile Robots

Collective Odor Source Estimation and Search in Time-Variant Airflow Environments Using Mobile Robots

This paper addresses the collective odor source localization (OSL) problem in a time-varying airflow environment using mobile robots. A novel OSL methodology which combines odor-source probability estimation and multiple robots’ search is proposed. The estimation phase consists of two steps: firstly...

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Bibliographic Details
Main Authors: Wei-Xing Yang, Yang Wang, Ming Zeng, Qing-Hao Meng
Format: Article
Language:English
Published: MDPI AG 2011-11-01
Series:Sensors
Subjects:
odor source localization
multi-robot
estimation
search
Bayesian rules
fuzzy inference
particle swarm optimization
Online Access:http://www.mdpi.com/1424-8220/11/11/10415/

Internet

http://www.mdpi.com/1424-8220/11/11/10415/

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