Pregled bibliografske jedinice broj: 831436
Social Adaptation of Robots for Modulating Self-Organization in Animal Societies
Social Adaptation of Robots for Modulating Self-Organization in Animal Societies // 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW)
London, Ujedinjeno Kraljevstvo: Institute of Electrical and Electronics Engineers (IEEE), 2014. str. 55-60 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 831436 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Social Adaptation of Robots for Modulating Self-Organization in Animal Societies
Autori
Zahadat, Payam ; Bodi, Michael ; Salem, Ziad ; Bonnet, Frank ; Elias de Oliveira, Marcelo ; Mondada, Francesco ; Griparić, Karlo ; Haus, Tomislav ; Bogdan, Stjepan ; Mills, Rob ; Mariano, Pedro ; Correia, Luis ; Kernbach, Olga ; Kernbach, Serge ; Schmickl, Thomas
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW)
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2014, 55-60
Skup
2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW)
Mjesto i datum
London, Ujedinjeno Kraljevstvo, 08.09.2014. - 12.09.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Animals; Heating; Vibrations; Robot sensing systems; Hardware; Biochemistry
Sažetak
The goal of the work presented here is to influence the overall behaviour of specific animal societies by integrating computational mechatronic devices (robots) into those societies. To do so, these devices should be accepted by the animals aspart of the society and/or as part of the collectively formed environment. For that, we have developed two sets of robotic hardware for integrating into societies of two different animals: zebra fish and young honeybees. We also developed mechanisms to provide feedback from the behaviours of societies for the controllers of the robotic system. Two different computational methods are then used as the controllers of the robots in simulation and successfully adapted by evolutionary algorithms to influence the simulated animals for desired behaviours. Together, these advances in mechatronic hardware, feedback mechanisms, and controller methodology are laying essential foundations to facilitate experiments on modulating self-organised behaviour in mixed animal -- robot societies.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb