Literature DB >> 25239605

Influence of robotic shoal size, configuration, and activity on zebrafish behavior in a free-swimming environment.

Sachit Butail1, Giovanni Polverino2, Paul Phamduy3, Fausto Del Sette3, Maurizio Porfiri4.   

Abstract

In animal studies, robots have been recently used as a valid tool for testing a wide spectrum of hypotheses. These robots often exploit visual or auditory cues to modulate animal behavior. The propensity of zebrafish, a model organism in biological studies, toward fish with similar color patterns and shape has been leveraged to design biologically inspired robots that successfully attract zebrafish in preference tests. With an aim of extending the application of such robots to field studies, here, we investigate the response of zebrafish to multiple robotic fish swimming at different speeds and in varying arrangements. A soft real-time multi-target tracking and control system remotely steers the robots in circular trajectories during the experimental trials. Our findings indicate a complex behavioral response of zebrafish to biologically inspired robots. More robots produce a significant change in salient measures of stress, with a fast robot swimming alone causing more freezing and erratic activity than two robots swimming slowly together. In addition, fish spend more time in the proximity of a robot when they swim far apart than when the robots swim close to each other. Increase in the number of robots also significantly alters the degree of alignment of fish motion with a robot. Results from this study are expected to advance our understanding of robot perception by live animals and aid in hypothesis-driven studies in unconstrained free-swimming environments.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Animal–robot interaction; Behavior; Robot; Zebrafish

Mesh:

Year:  2014        PMID: 25239605     DOI: 10.1016/j.bbr.2014.09.015

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  8 in total

1.  Model-based feedback control of live zebrafish behavior via interaction with a robotic replica.

Authors:  Pietro DeLellis; Edoardo Cadolini; Arrigo Croce; Yanpeng Yang; Mario di Bernardo; Maurizio Porfiri
Journal:  IEEE Trans Robot       Date:  2019-09-23       Impact factor: 5.567

2.  Open-source five degree of freedom motion platform for investigating fish-robot interaction.

Authors:  Brent Utter; Alexander Brown
Journal:  HardwareX       Date:  2020-03-18

3.  Data-driven stochastic modelling of zebrafish locomotion.

Authors:  Adam Zienkiewicz; David A W Barton; Maurizio Porfiri; Mario di Bernardo
Journal:  J Math Biol       Date:  2014-10-31       Impact factor: 2.259

4.  A stochastic vision-based model inspired by zebrafish collective behaviour in heterogeneous environments.

Authors:  Bertrand Collignon; Axel Séguret; José Halloy
Journal:  R Soc Open Sci       Date:  2016-01-13       Impact factor: 2.963

5.  In-silico experiments of zebrafish behaviour: modeling swimming in three dimensions.

Authors:  Violet Mwaffo; Sachit Butail; Maurizio Porfiri
Journal:  Sci Rep       Date:  2017-01-10       Impact factor: 4.379

6.  Bidirectional interactions facilitate the integration of a robot into a shoal of zebrafish Danio rerio.

Authors:  Vaios Papaspyros; Frank Bonnet; Bertrand Collignon; Francesco Mondada
Journal:  PLoS One       Date:  2019-08-20       Impact factor: 3.240

7.  The Logic of Interactive Biorobotics.

Authors:  Edoardo Datteri
Journal:  Front Bioeng Biotechnol       Date:  2020-07-08

8.  Using a robotic fish to investigate individual differences in social responsiveness in the guppy.

Authors:  David Bierbach; Tim Landgraf; Pawel Romanczuk; Juliane Lukas; Hai Nguyen; Max Wolf; Jens Krause
Journal:  R Soc Open Sci       Date:  2018-08-08       Impact factor: 2.963

  8 in total

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