000233686 001__ 233686
000233686 005__ 20190331092536.0
000233686 0247_ $$2doi$$a10.1007/s11721-017-0153-6
000233686 022__ $$a1935-3812
000233686 037__ $$aARTICLE
000233686 245__ $$aClosed-loop interactions between a shoal of zebrafish and a group of robotic fish in a circular corridor
000233686 260__ $$bSpringer Verlag$$c2018
000233686 269__ $$a2018
000233686 336__ $$aJournal Articles
000233686 520__ $$aCollective behavior based on self-organization has been observed in populations of animals from insects to vertebrates. These findings have motivated engineers to investigate approaches to control autonomous multi-robot systems able to reproduce collective animal behaviors, and even to collectively interact with groups of animals. In this article, we show collective decision making by a group of autonomous robots and a group of zebrafish, leading to a shared decision about swimming direction. The robots can also modulate the collective decision-making process in biased and non-biased experimental setups. These results demonstrate the possibility of creating mixed societies of vertebrates and robots in order to study or control animal behavior.
000233686 6531_ $$aAnimal–robot interaction
000233686 6531_ $$aMulti-agent systems
000233686 6531_ $$aCollective behavior
000233686 6531_ $$aZebrafish
000233686 6531_ $$aMixed societies
000233686 700__ $$0247666$$g178485$$aBonnet, Frank
000233686 700__ $$0242141$$g173136$$aGribovskiy, Alexey
000233686 700__ $$aHalloy, José
000233686 700__ $$aMondada, Francesco$$g102717$$0240589
000233686 773__ $$j12$$tSwarm Intelligence$$k3$$q227–244
000233686 8564_ $$uhttps://infoscience.epfl.ch/record/233686/files/10.10072Fs11721-017-0153-6.pdf$$zPublisher's version$$s1653614$$yPublisher's version
000233686 909C0 $$0252016$$pLSRO
000233686 909CO $$particle$$ooai:infoscience.tind.io:233686$$qGLOBAL_SET$$pSTI
000233686 917Z8 $$x178485
000233686 937__ $$aEPFL-ARTICLE-233686
000233686 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000233686 980__ $$aARTICLE