Abstract

It has long been proposed that flying and swimming animals could exploit neighbour-induced flows. Despite this it is still not clear whether, and if so how, schooling fish coordinate their movement to benefit from the vortices shed by others. To address this we developed bio-mimetic fish-like robots which allow us to measure directly the energy consumption associated with swimming together in pairs (the most common natural configuration in schooling fish). We find that followers, in any relative position to a near-neighbour, could obtain hydrodynamic benefits if they exhibit a tailbeat phase difference that varies linearly with front-back distance, a strategy we term ‘vortex phase matching’. Experiments with pairs of freely-swimming fish reveal that followers exhibit this strategy, and that doing so requires neither a functioning visual nor lateral line system. Our results are consistent with the hypothesis that fish typically, but not exclusively, use vortex phase matching to save energy.

Whether and how fish might benefit from swimming in schools is an ongoing intriguing debate. Li et al. conduct experiments with biomimetic robots and also with real fish to reveal a new behavioural strategy by which followers can exploit the vortices shed by a near neighbour.

Details

Title
Vortex phase matching as a strategy for schooling in robots and in fish
Author
Li, Liang 1   VIAFID ORCID Logo  ; Nagy Máté 2   VIAFID ORCID Logo  ; Graving, Jacob M 3   VIAFID ORCID Logo  ; Bak-Coleman, Joseph 4   VIAFID ORCID Logo  ; Xie Guangming 5   VIAFID ORCID Logo  ; Couzin, Iain D 3   VIAFID ORCID Logo 

 Max Planck Institute of Animal Behavior, Department of Collective Behaviour, Konstanz, Germany (GRID:grid.507516.0) (ISNI:0000 0004 7661 536X); University of Konstanz, Centre for the Advanced Study of Collective Behaviour, Konstanz, Germany (GRID:grid.9811.1) (ISNI:0000 0001 0658 7699); University of Konstanz, Department of Biology, Konstanz, Germany (GRID:grid.9811.1) (ISNI:0000 0001 0658 7699); College of Engineering, Peking University, State Key Laboratory for Turbulence and Complex Systems, and Intelligent Biomimetic Design Lab, Beijing, P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) 
 Max Planck Institute of Animal Behavior, Department of Collective Behaviour, Konstanz, Germany (GRID:grid.507516.0) (ISNI:0000 0004 7661 536X); University of Konstanz, Centre for the Advanced Study of Collective Behaviour, Konstanz, Germany (GRID:grid.9811.1) (ISNI:0000 0001 0658 7699); University of Konstanz, Department of Biology, Konstanz, Germany (GRID:grid.9811.1) (ISNI:0000 0001 0658 7699); Hungarian Academy of Sciences, MTA-ELTE Statistical and Biological Physics Research Group, Budapest, Hungary (GRID:grid.5018.c) (ISNI:0000 0001 2149 4407); Hungarian Academy of Sciences, MTA-ELTE “Lendület” Collective Behaviour Research Group, Budapest, Hungary (GRID:grid.5018.c) (ISNI:0000 0001 2149 4407); Eötvös Loránd University, Department of Biological Physics, Budapest, Hungary (GRID:grid.5591.8) (ISNI:0000 0001 2294 6276) 
 Max Planck Institute of Animal Behavior, Department of Collective Behaviour, Konstanz, Germany (GRID:grid.507516.0) (ISNI:0000 0004 7661 536X); University of Konstanz, Centre for the Advanced Study of Collective Behaviour, Konstanz, Germany (GRID:grid.9811.1) (ISNI:0000 0001 0658 7699); University of Konstanz, Department of Biology, Konstanz, Germany (GRID:grid.9811.1) (ISNI:0000 0001 0658 7699) 
 Princeton University, Department of Ecology and Evolutionary Biology, Princeton, USA (GRID:grid.16750.35) (ISNI:0000 0001 2097 5006) 
 College of Engineering, Peking University, State Key Laboratory for Turbulence and Complex Systems, and Intelligent Biomimetic Design Lab, Beijing, P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319); Peking University, Institute of Ocean Research, Beijing, P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319); Peng Cheng Laboratory, Shenzhen, P. R. China (GRID:grid.11135.37) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2471522425
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.