Vortex phase matching as a strategy for schooling in robots and in fish

Liang Li, Máté Nagy (), Jacob M. Graving, Joseph Bak-Coleman, Guangming Xie () and Iain D. Couzin ()
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Liang Li: Max Planck Institute of Animal Behavior
Máté Nagy: Max Planck Institute of Animal Behavior
Jacob M. Graving: Max Planck Institute of Animal Behavior
Joseph Bak-Coleman: Princeton University
Guangming Xie: College of Engineering, Peking University
Iain D. Couzin: Max Planck Institute of Animal Behavior

Nature Communications, 2020, vol. 11, issue 1, 1-9

Abstract: 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.

Date: 2020
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DOI: 10.1038/s41467-020-19086-0

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