Literature DB >> 33137747

Robots mediating interactions between animals for interspecies collective behaviors.

Frank Bonnet1, Rob Mills2, Martina Szopek3, Sarah Schönwetter-Fuchs3, José Halloy4, Stjepan Bogdan5, Luís Correia2, Francesco Mondada6, Thomas Schmickl3.   

Abstract

Self-organized collective behavior has been analyzed in diverse types of gregarious animals. Such collective intelligence emerges from the synergy between individuals, which behave at their own time and spatial scales and without global rules. Recently, robots have been developed to collaborate with animal groups in the pursuit of better understanding their decision-making processes. These biohybrid systems make cooperative relationships between artificial systems and animals possible, which can yield new capabilities in the resulting mixed group. However, robots are currently tailor-made to successfully engage with one animal species at a time. This limits the possibilities of introducing distinct species-dependent perceptual capabilities and types of behaviors in the same system. Here, we show that robots socially integrated into animal groups of honeybees and zebrafish, each one located in a different city, allowing these two species to interact. This interspecific information transfer is demonstrated by collective decisions that emerge between the two autonomous robotic systems and the two animal groups. The robots enable this biohybrid system to function at any distance and operates in water and air with multiple sensorimotor properties across species barriers and ecosystems. These results demonstrate the feasibility of generating and controlling behavioral patterns in biohybrid groups of multiple species. Such interspecies connections between diverse robotic systems and animal species may open the door for new forms of artificial collective intelligence, where the unrivaled perceptual capabilities of the animals and their brains can be used to enhance autonomous decision-making, which could find applications in selective "rewiring" of ecosystems.
Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Entities:  

Year:  2019        PMID: 33137747     DOI: 10.1126/scirobotics.aau7897

Source DB:  PubMed          Journal:  Sci Robot        ISSN: 2470-9476


  7 in total

1.  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

2.  Acute Citalopram administration alters zebrafish social dynamics in a behavioral teleporting experiment.

Authors:  Mert Karakaya; Simone Macrì; Maurizio Porfiri
Journal:  Alife       Date:  2021-07-19

3.  A Minimally Invasive Approach Towards "Ecosystem Hacking" With Honeybees.

Authors:  Martin Stefanec; Daniel N Hofstadler; Tomáš Krajník; Ali Emre Turgut; Hande Alemdar; Barry Lennox; Erol Şahin; Farshad Arvin; Thomas Schmickl
Journal:  Front Robot AI       Date:  2022-04-28

4.  Marimo actuated rover systems.

Authors:  Neil Phillips; Thomas C Draper; Richard Mayne; Darren M Reynolds; Andrew Adamatzky
Journal:  J Biol Eng       Date:  2022-01-05       Impact factor: 4.355

5.  The creation of phenomena in interactive biorobotics.

Authors:  Edoardo Datteri
Journal:  Biol Cybern       Date:  2021-10-29       Impact factor: 2.086

6.  Opposite valence social information provided by bio-robotic demonstrators shapes selection processes in the green bottle fly.

Authors:  Donato Romano; Giovanni Benelli; Cesare Stefanini
Journal:  J R Soc Interface       Date:  2021-03-17       Impact factor: 4.118

7.  Ecology of fear in highly invasive fish revealed by robots.

Authors:  Giovanni Polverino; Vrishin R Soman; Mert Karakaya; Clelia Gasparini; Jonathan P Evans; Maurizio Porfiri
Journal:  iScience       Date:  2021-12-16
  7 in total

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