Literature DB >> 26757096

RoboFish: increased acceptance of interactive robotic fish with realistic eyes and natural motion patterns by live Trinidadian guppies.

Tim Landgraf1, David Bierbach, Hai Nguyen, Nadine Muggelberg, Pawel Romanczuk, Jens Krause.   

Abstract

In recent years, simple biomimetic robots have been increasingly used in biological studies to investigate social behavior, for example collective movement. Nevertheless, a big challenge in developing biomimetic robots is the acceptance of the robotic agents by live animals. In this contribution, we describe our recent advances with regard to the acceptance of our biomimetic RoboFish by live Trinidadian guppies (Poecilia reticulata). We provide a detailed technical description of the RoboFish system and show the effect of different appearance, motion patterns and interaction modes on the acceptance of the artificial fish replica. Our results indicate that realistic eye dummies along with natural motion patterns significantly improve the acceptance level of the RoboFish. Through the interactive behaviors, our system can be adjusted to imitate different individual characteristics of live animals, which further increases the bandwidth of possible applications of our RoboFish for the study of animal behavior.

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Year:  2016        PMID: 26757096     DOI: 10.1088/1748-3190/11/1/015001

Source DB:  PubMed          Journal:  Bioinspir Biomim        ISSN: 1748-3182            Impact factor:   2.956


  25 in total

1.  Evidence for mutual allocation of social attention through interactive signaling in a mormyrid weakly electric fish.

Authors:  Martin Worm; Tim Landgraf; Julia Prume; Hai Nguyen; Frank Kirschbaum; Gerhard von der Emde
Journal:  Proc Natl Acad Sci U S A       Date:  2018-06-11       Impact factor: 11.205

2.  Group-level patterns emerge from individual speed as revealed by an extremely social robotic fish.

Authors:  Jolle W Jolles; Nils Weimar; Tim Landgraf; Pawel Romanczuk; Jens Krause; David Bierbach
Journal:  Biol Lett       Date:  2020-09-16       Impact factor: 3.703

3.  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

4.  Social Integrating Robots Suggest Mitigation Strategies for Ecosystem Decay.

Authors:  Thomas Schmickl; Martina Szopek; Francesco Mondada; Rob Mills; Martin Stefanec; Daniel N Hofstadler; Dajana Lazic; Rafael Barmak; Frank Bonnet; Payam Zahadat
Journal:  Front Bioeng Biotechnol       Date:  2021-05-24

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

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

6.  Zebrafish response to a robotic replica in three dimensions.

Authors:  Tommaso Ruberto; Violet Mwaffo; Sukhgewanpreet Singh; Daniele Neri; Maurizio Porfiri
Journal:  R Soc Open Sci       Date:  2016-10-19       Impact factor: 2.963

7.  A robotic system for researching social integration in honeybees.

Authors:  Karlo Griparić; Tomislav Haus; Damjan Miklić; Marsela Polić; Stjepan Bogdan
Journal:  PLoS One       Date:  2017-08-09       Impact factor: 3.240

8.  Multiple cues produced by a robotic fish modulate aggressive behaviour in Siamese fighting fishes.

Authors:  Donato Romano; Giovanni Benelli; Elisa Donati; Damiano Remorini; Angelo Canale; Cesare Stefanini
Journal:  Sci Rep       Date:  2017-07-05       Impact factor: 4.379

9.  Closed-loop control of zebrafish behaviour in three dimensions using a robotic stimulus.

Authors:  Changsu Kim; Tommaso Ruberto; Paul Phamduy; Maurizio Porfiri
Journal:  Sci Rep       Date:  2018-01-12       Impact factor: 4.379

10.  Social interactions between live and artificial weakly electric fish: Electrocommunication and locomotor behavior of Mormyrus rume proboscirostris towards a mobile dummy fish.

Authors:  Martin Worm; Frank Kirschbaum; Gerhard von der Emde
Journal:  PLoS One       Date:  2017-09-13       Impact factor: 3.240

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