DocumentCode :
2758243
Title :
On Adaptive Self-Organization in Artificial Robot Organisms
Author :
Kernbach, Serge ; Hamann, Heiko ; Stradner, Jurgen ; Thenius, Ronald ; Schmickl, Thomas ; Crailsheim, K. ; van Rossum, A.C. ; Sebag, Michele ; Bredeche, N. ; Yao, Yao ; Baele, Guy ; van de Peer, Y. ; Timmis, Jon ; Mohktar, Mas Sahidayana ; Tyrrell, Andy ;
Author_Institution :
Inst. of Parallel & Distrib. Syst., Univ. of Stuttgart, Stuttgart, Germany
fYear :
2009
fDate :
15-20 Nov. 2009
Firstpage :
33
Lastpage :
43
Abstract :
Self-organization in natural systems demonstrates very reliable and scalable collective behavior without using any central elements. When providing collective robotic systems with self-organizing principles, we are facing new problems of making self-organization purposeful, self-adapting to changing environments and faster, in order to meet requirements from a technical perspective. This paper describes on-going work of creating such an artificial self-organization within artificial robot organisms, performed in the framework of several European projects.
Keywords :
adaptive control; artificial life; multi-robot systems; self-adjusting systems; adaptive self-organization; artificial robot organism; artificial self-organization; collective robotic systems; natural system; self-adaptation; Biological materials; Centralized control; Cognitive robotics; Control systems; Organisms; Peer to peer computing; Plants (biology); Robots; Scalability; Systems biology; adaptive selforganization; adaptive system; artificial organisms; collective robotics; self-adaptation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09. Computation World:
Conference_Location :
Athens
Print_ISBN :
978-1-4244-5166-1
Electronic_ISBN :
978-0-7695-3862-4
Type :
conf
DOI :
10.1109/ComputationWorld.2009.9
Filename :
5359550
Link To Document :
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