2012
DOI: 10.1098/rsfs.2012.0029
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Collective navigation of cargo-carrying swarms

Abstract: Much effort has been devoted to the study of swarming and collective navigation of microorganisms, insects, fish, birds and other organisms, as well as multi-agent simulations and to the study of real robots. It is well known that insect swarms can carry cargo. The studies here are motivated by a less well-known phenomenon: cargo transport by bacteria swarms. We begin with a concise review of how bacteria swarms carry natural, micrometre-scale objects larger than the bacteria (e.g. fungal spores) as well as ma… Show more

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Cited by 22 publications
(21 citation statements)
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“…But a realted set-up are bacteria close to a liquid-air interface which are standardly considered in experiments, see e.g. [56,60,61]. The latter interface is flexible but under tension.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…But a realted set-up are bacteria close to a liquid-air interface which are standardly considered in experiments, see e.g. [56,60,61]. The latter interface is flexible but under tension.…”
Section: Discussionmentioning
confidence: 99%
“…Our case of a flexible polymer chain is therefore one of the simplest key examples to proceed along this important direction. Third, in general, the set-up we are proposing is realizable in experiments and relevant for biological systems where swarms of bacteria are moving close to flexible objects like at water-air interfaces [56][57][58][59][60][61]. Our two-dimensional model can indeed be realized e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Paenibacillus vortex is a Gram-positive bacterium that is a highly effective swarmer with its progress over agar plates aided by collective secretion of surfactants [8][9][10]. This bacterium survives in the complex and challenging environment surrounding plant roots (the rhizosphere).…”
Section: Introductionmentioning
confidence: 99%
“…We conclude the present issue with a recently discovered phenomenon in a swarm of social bacteria, which is their ability to collectively transport biological cargo over long distances. In their paper, Shklarsh et al [33] develop a new class of computer models to study cargo-carrying bacteria-inspired agents. They investigate how the features of agent-cargo bonds influence the collective motion and the transport of the cargo and they compare the simulation results to the experiments.…”
mentioning
confidence: 99%