A biomimetic robot for tracking specific odors in turbulent plumes
Identifieur interne : 000579 ( Hal/Curation ); précédent : 000578; suivant : 000580A biomimetic robot for tracking specific odors in turbulent plumes
Auteurs : Dominique Martinez [France] ; Olivier Rochel [France] ; Etienne HuguesSource :
- Autonomous Robots [ 0929-5593 ] ; 2006.
English descriptors
Abstract
Two basic tasks must be performed by an olfactory robot tracking a specific odor source : navigate in a turbulent odor plume and recognize an odor regardless of its concentration. For these two tasks, we propose simple biologically inspired strategies, well suited for building dedicated circuits and for on-board implementation on real robots. The odor recognition system is based on a spiking neural network using a synchronization coding scheme. The robot navigation system is based on the use of bilateral comparison between two spatially separated gas sensors arrays at either side of the robot. We propose binary or analog navigation laws depending on the nature of the available sensory information extracted from the plume structure (isolated odor patches or smoother concentration field).
Url:
DOI: 10.1007/s10514-006-7157-1
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localization</term><term>Olfaction</term><term>Olfactory robot</term><term>Spiking neurons</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Two basic tasks must be performed by an olfactory robot tracking a specific odor source : navigate in a turbulent odor plume and recognize an odor regardless of its concentration. For these two tasks, we propose simple biologically inspired strategies, well suited for building dedicated circuits and for on-board implementation on real robots. The odor recognition system is based on a spiking neural network using a synchronization coding scheme. The robot navigation system is based on the use of bilateral comparison between two spatially separated gas sensors arrays at either side of the robot. We propose binary or analog navigation laws depending on the nature of the available sensory information extracted from the plume structure (isolated odor patches or smoother concentration field).</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">A biomimetic robot for tracking specific odors in turbulent plumes</title><author role="aut"><persName><forename type="first">Dominique</forename><surname>Martinez</surname></persName><email>dmartine@loria.fr</email><idno type="halauthor">134759</idno><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">Olivier</forename><surname>Rochel</surname></persName><email></email><idno type="halauthor">130233</idno><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">Etienne</forename><surname>Hugues</surname></persName><email>hugues@loria.fr</email><idno type="halauthor">66124</idno></author><editor role="depositor"><persName><forename>Dominique</forename><surname>Martinez</surname></persName><email>dmartine@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2006-10-04 15:12:35</date><date type="whenModified">2016-05-19 01:09:10</date><date type="whenReleased">2006-10-04 15:12:35</date><date type="whenProduced">2006</date></edition><respStmt><resp>contributor</resp><name key="113378"><persName><forename>Dominique</forename><surname>Martinez</surname></persName><email>dmartine@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00103482</idno><idno type="halUri">https://hal.inria.fr/inria-00103482</idno><idno type="halBibtex">martinez:inria-00103482</idno><idno type="halRefHtml">Autonomous Robots, Springer Verlag, 2006, 20 (3), pp.185--195. <10.1007/s10514-006-7157-1></idno><idno type="halRef">Autonomous Robots, Springer Verlag, 2006, 20 (3), pp.185--195. <10.1007/s10514-006-7157-1></idno></publicationStmt><seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-CSAI" p="LORIA">Systèmes complexes et intelligence artificielle</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno></seriesStmt><notesStmt><note type="audience" n="1">Not set</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">A biomimetic robot for tracking specific odors in turbulent plumes</title><author role="aut"><persName><forename type="first">Dominique</forename><surname>Martinez</surname></persName><email>dmartine@loria.fr</email><idno type="halAuthorId">134759</idno><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">Olivier</forename><surname>Rochel</surname></persName><idno type="halAuthorId">130233</idno><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">Etienne</forename><surname>Hugues</surname></persName><email>hugues@loria.fr</email><idno type="halAuthorId">66124</idno></author></analytic><monogr><idno type="halJournalId" status="VALID">10946</idno><idno type="issn">0929-5593</idno><idno type="eissn">1573-7527</idno><title level="j">Autonomous Robots</title><imprint><publisher>Springer Verlag</publisher><biblScope unit="volume">20</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="pp">185--195</biblScope><date type="datePub">2006</date></imprint></monogr><idno type="doi">10.1007/s10514-006-7157-1</idno></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">Olfactory robot</term><term xml:lang="en">Odor localization</term><term xml:lang="en">Odor discrimination</term><term xml:lang="en">Spiking neurons</term><term xml:lang="en">Olfaction</term></keywords><classCode scheme="halDomain" n="info.info-ne">Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]</classCode><classCode scheme="halTypology" n="ART">Journal articles</classCode></textClass><abstract xml:lang="en">Two basic tasks must be performed by an olfactory robot tracking a specific odor source : navigate in a turbulent odor plume and recognize an odor regardless of its concentration. For these two tasks, we propose simple biologically inspired strategies, well suited for building dedicated circuits and for on-board implementation on real robots. The odor recognition system is based on a spiking neural network using a synchronization coding scheme. The robot navigation system is based on the use of bilateral comparison between two spatially separated gas sensors arrays at either side of the robot. We propose binary or analog navigation laws depending on the nature of the available sensory information extracted from the plume structure (isolated odor patches or smoother concentration field).</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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