Swarm olfactory search in turbulence environment

Siqi Zhang, Rongxin Cui, Demin Xu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

It is a challenge task for robots to tracking scents and locate odor sources because the odor plume is not continuous but consists of intermittent odor patches dispersed by the wind. In general, the space map cannot be foreknown. A novel olfactory search method employing swarm robots with limited space perception in turbulence environment is presented in this paper. In this method, both 'information sharing' and 'collision avoidance' are taken into account in searching for the odor source. An approximate expression of the inferred position of the odor source is established to solve the problem with insufficient environment knowledge. The moving direction of each robot is given by minimization of a free energy separately. An internal 'temperature' allows active control on the exploration/exploitation balance during the search. Simulation results demonstrate the validity of the proposed method.

Original languageEnglish
Title of host publicationProceedings of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479967322
DOIs
StatePublished - 23 Dec 2014
Event2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014 - Beijing, China
Duration: 28 Sep 201430 Sep 2014

Publication series

NameProceedings of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014

Conference

Conference2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014
Country/TerritoryChina
CityBeijing
Period28/09/1430/09/14

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