DocumentCode :
2415868
Title :
CNN and collective perception
Author :
Arena, P. ; Fortuna, L. ; Lombardo, D. ; Patané, L.
Author_Institution :
DIEES - Dipt. di Ing. Elettr., Univ. degli Studi di Catania, Catania
fYear :
2008
fDate :
14-16 July 2008
Firstpage :
186
Lastpage :
191
Abstract :
Cooperation is an ability used by particular animal species (e.g. ants) to survive in the world. In the bio-inspired robotics field, several attempts were carried out to exploit the application of cooperative strategies both to accomplish tasks otherwise impossible and to improve the global performances of the group of robots. In this paper we discuss on the emergence of collective behaviours, in groups of robots individually controlled by a cognitive architecture based on Turing patterns. Robots can exchange information each other when specific situations are encountered: deadlock and target retrieving. This information spreading mechanism reduces the learning time and increases the final performance of the group.
Keywords :
Turing machines; cellular neural nets; cognitive systems; intelligent robots; multi-robot systems; neurocontrollers; Turing patterns; animal species; bio-inspired robotics field; cellular neural network; cognitive architecture; collective perception; deadlock retrieving; information spreading mechanism; learning time; target retrieving; Animals; Cellular neural networks; Cognitive robotics; Computer architecture; Evolutionary computation; Insects; Intelligent robots; Medical services; Robot sensing systems; Sparks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and Their Applications, 2008. CNNA 2008. 11th International Workshop on
Conference_Location :
Santiago de Compostela
Print_ISBN :
978-1-4244-2089-6
Electronic_ISBN :
978-1-4244-2090-2
Type :
conf
DOI :
10.1109/CNNA.2008.4588675
Filename :
4588675
Link To Document :
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