DocumentCode :
3574835
Title :
Social Adaptation of Robots for Modulating Self-Organization in Animal Societies
Author :
Zahadat, Payam ; Bodi, Michael ; Salem, Ziad ; Bonnet, Frank ; De Oliveira, Marcelo Elias ; Mondada, Francesco ; Griparic, Karlo ; Haus, Tomislav ; Bogdan, Stjepan ; Mills, Rob ; Mariano, Pedro ; Correia, Luis ; Kernbach, Olga ; Kernbach, Serge ; Schmickl
Author_Institution :
Dept. of Zoology, Karl-Franzens Univ., Graz, Austria
fYear :
2014
Firstpage :
55
Lastpage :
60
Abstract :
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.
Keywords :
evolutionary computation; feedback; mechatronics; mobile robots; self-adjusting systems; animal society; animal-robot society; collectively formed environment; computational mechatronic device; computational method; controller methodology; evolutionary algorithm; feedback mechanism; mechatronic hardware; robotic hardware; robotic system; self-organised behaviour; self-organization; simulated animal; social adaptation; young honeybee; zebra fish; Animals; Biochemistry; Hardware; Heating; Robot sensing systems; Vibrations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Self-Adaptive and Self-Organizing Systems Workshops (SASOW), 2014 IEEE Eighth International Conference on
Type :
conf
DOI :
10.1109/SASOW.2014.13
Filename :
7056353
Link To Document :
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