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  Collective clog control: Optimizing traffic flow in confined biological and robophysical excavation

Aguilar, J., Monaenkova, D., Linevich, V., Savoie, W., Dutta, B., Kuan, H.-S., et al. (2018). Collective clog control: Optimizing traffic flow in confined biological and robophysical excavation. Science, 361(6403), 672-677. doi:10.1126/science.aan3891.

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 Creators:
Aguilar, J.1, Author
Monaenkova, D.1, Author
Linevich, V.1, Author
Savoie, W.1, Author
Dutta, B.1, Author
Kuan, Hui-Shun2, Author           
Betterton, M. D.1, Author
Goodisman, M. A. D.1, Author
Goldman, D. I.1, Author
Affiliations:
1external, ou_persistent22              
2Max Planck Institute for the Physics of Complex Systems, Max Planck Society, ou_2117288              

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 MPIPKS: Structure formation and active systems
 Abstract: Groups of interacting active particles, insects, or humans can form clusters that hinder the goals of the collective; therefore, development of robust strategies for control of such clogs is essential, particularly in confined environments. Our biological and robophysical excavation experiments, supported by computational and theoretical models, reveal that digging performance can be robustly optimized within the constraints of narrow tunnels by individual idleness and retreating. Tools from the study of dense particulate ensembles elucidate how idleness reduces the frequency of flow-stopping clogs and how selective retreating reduces cluster dissolution time for the rare clusters that still occur. Our results point to strategies by which dense active matter and swarms can become task capable without sophisticated sensing, planning, and global control of the collective.

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Language(s): eng - English
 Dates: 2018-08-172018-08-17
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000442818200037
DOI: 10.1126/science.aan3891
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Title: Science
  Other : Science
Source Genre: Journal
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Publ. Info: Washington, D.C. : American Association for the Advancement of Science
Pages: - Volume / Issue: 361 (6403) Sequence Number: - Start / End Page: 672 - 677 Identifier: ISSN: 0036-8075
CoNE: https://pure.mpg.de/cone/journals/resource/991042748276600_1