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  Collective olfactory search in a turbulent environment

Durve, M., Piro, L., Cencini, M., Biferale, L., & Celani, A. (2020). Collective olfactory search in a turbulent environment. Physical Review E, 102: 012402. doi:10.1103/PhysRevE.102.012402.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0007-2EA8-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-ECA8-0
Genre: Journal Article

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 Creators:
Durve, Mihir, Author
Piro, Lorenzo1, Author
Cencini, Massimo, Author
Biferale, Luca, Author
Celani, Antonio, Author
Affiliations:
1Department of Living Matter Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, DE, ou_2570692              

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 Abstract: Finding the source of an odor dispersed by a turbulent flow is a vital task for many organisms. When many individuals concurrently perform the same olfactory search task, sharing information about other members' decisions can potentially boost the performance. But how much of this information is actually exploitable for the collective task? Here we show, in a model of a swarm of agents inspired by moth behavior, that there is an optimal way to blend the private information about odor and wind detections with the public information about other agents' heading direction. Our results suggest an efficient multiagent olfactory search algorithm that could prove useful in robotics, e.g., in the identification of sources of harmful volatile compounds.

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 Dates: 2020-07-072020-07
 Publication Status: Issued
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 Identifiers: DOI: 10.1103/PhysRevE.102.012402
URI: http://doi.crossref.org/servlet/query?pid=CROSSREF_PID&format=unixref&id=10.1103/PhysRevE.102.012402
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Title: Physical Review E
Source Genre: Journal
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Pages: - Volume / Issue: 102 Sequence Number: 012402 Start / End Page: - Identifier: ISSN: 2470-0045
ISSN: 2470-0053