DocumentCode :
1640153
Title :
A modified Dendritic Cell Algorithm for on-line error detection in robotic systems
Author :
Mokhtar, Maizura ; Bi, Ran ; Timmis, Jon ; Tyrrell, Andy M.
Author_Institution :
Dept. of Electron., Univ. of York, York
fYear :
2009
Firstpage :
2055
Lastpage :
2062
Abstract :
The immune system is a key component in the maintenance of host homeostasis. Key actors in this process are cells known as dendritic cells (DCs). An artificial immune system based on DCs (known as the Dendritic Cell Algorithm: DCA) is well established in the literature and has been applied in a number of applications. Work in this paper is concerned with the development of an integrated homeostatic system for small, autonomous robotic systems, implemented on a resource limited micro-controller. As a first step, we have modified the DCA to operate in both simulated robotic units, and a resource constrained micro-controller that can operate in an on-line manner. Errors can be introduced into the robotic unit during operation, and these can be detected and then circumvented by the modified DCA.
Keywords :
artificial immune systems; mobile robots; artificial immune system; autonomous robotic system; host homeostasis system; modified dendritic cell algorithm; online error detection; Communication system control; Control systems; Error correction; Face detection; Fault detection; Immune system; Microcontrollers; Pathogens; Prototypes; Robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-2958-5
Electronic_ISBN :
978-1-4244-2959-2
Type :
conf
DOI :
10.1109/CEC.2009.4983194
Filename :
4983194
Link To Document :
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