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How mimetic should a robotic fish be to socially integrate into zebrafish groups?
Author(s) -
Léo Cazenille,
Bertrand Collig,
Yohann Chemtob,
Frank Bonnet,
Alexey Gribovskiy,
Francesco Mondada,
Nicolas Bredèche,
José Halloy
Publication year - 2017
Publication title -
bioinspiration and biomimetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.905
H-Index - 69
eISSN - 1748-3190
pISSN - 1748-3182
DOI - 10.1088/1748-3190/aa8f6a
Subject(s) - zebrafish , robot , danio , perception , fish <actinopterygii> , artificial intelligence , psychology , human–computer interaction , computer science , biology , fishery , neuroscience , gene , biochemistry
Biomimetic robots are promising tools in animal behavioural studies. If they are socially integrated in a groupof animals, they can produce calibrated social stimuli to test the animal responses. However, the design of suchsocial robots is challenging as it involves both a luring capability including appropriate robot behaviours, and theacceptation of the robots by the animals as social companions. Here, we investigate the integration of a biomimeticrobotic lure driven by biomimetic behavioural models into a group of zebrafish (Danio rerio). The robot behaviours arebased on a stochastic model linking zebrafish visual perception to individual behaviour and calibrated experimentallyto correspond to the behaviour of zebrafish. We show that our robot can be integrated into a group of zebrafish,mimic their behaviour and exhibit similar collective dynamics compared to fish-only groups. This study shows that anautonomous biomimetic lure was enhanced by a biomimetic behavioural model so that it can socially integrate intogroups of fish.This study is a pioneering work where a biomimetic lure was enhanced by a biomimetic behavioural model so that it can integrate a group of fish.

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