Literature DB >> 21496942

Interactive robots in experimental biology.

Jens Krause1, Alan F T Winfield, Jean-Louis Deneubourg.   

Abstract

Interactive robots have the potential to revolutionise the study of social behaviour because they provide several methodological advances. In interactions with live animals, the behaviour of robots can be standardised, morphology and behaviour can be decoupled (so that different morphologies and behavioural strategies can be combined), behaviour can be manipulated in complex interaction sequences and models of behaviour can be embodied by the robot and thereby be tested. Furthermore, robots can be used as demonstrators in experiments on social learning. As we discuss here, the opportunities that robots create for new experimental approaches have far-reaching consequences for research in fields such as mate choice, cooperation, social learning, personality studies and collective behaviour.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21496942     DOI: 10.1016/j.tree.2011.03.015

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  45 in total

1.  Stigmergy, collective actions, and animal social spacing.

Authors:  Luca Giuggioli; Jonathan R Potts; Daniel I Rubenstein; Simon A Levin
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-30       Impact factor: 11.205

2.  Design and development of a robotic predator as a stimulus in conditioned place aversion for the study of the effect of ethanol and citalopram in zebrafish.

Authors:  Romain J G Clément; Simone Macrì; Maurizio Porfiri
Journal:  Behav Brain Res       Date:  2019-10-12       Impact factor: 3.332

3.  Closed-loop control of zebrafish response using a bioinspired robotic-fish in a preference test.

Authors:  Vladislav Kopman; Jeffrey Laut; Giovanni Polverino; Maurizio Porfiri
Journal:  J R Soc Interface       Date:  2013-01-06       Impact factor: 4.118

Review 4.  Synthetic transitions: towards a new synthesis.

Authors:  Ricard Solé
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-08-19       Impact factor: 6.237

5.  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

6.  Behavioural and life-history responses of mosquitofish to biologically inspired and interactive robotic predators.

Authors:  Giovanni Polverino; Mert Karakaya; Chiara Spinello; Vrishin R Soman; Maurizio Porfiri
Journal:  J R Soc Interface       Date:  2019-09-11       Impact factor: 4.118

7.  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

8.  Zebrafish exhibit associative learning for an aversive robotic stimulus.

Authors:  Simone Macrì; Mert Karakaya; Chiara Spinello; Maurizio Porfiri
Journal:  Lab Anim (NY)       Date:  2020-08-10       Impact factor: 12.625

9.  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

10.  Remote guidance of untrained turtles by controlling voluntary instinct behavior.

Authors:  Serin Lee; Cheol-Hu Kim; Dae-Gun Kim; Han-Guen Kim; Phill-Seung Lee; Hyun Myung
Journal:  PLoS One       Date:  2013-04-17       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.