DocumentCode :
2758213
Title :
Towards Energy Homeostasis in an Autonomous Self-Reconfigurable Modular Robotic Organism
Author :
Humza, Raja ; Scholz, Oliver ; Mokhtar, Maizura ; Timmis, Jon ; Tyrrell, Andy
Author_Institution :
Dept. of Biomed. Microsyst., Fraunhofer Inst. for Biomed. Eng. (IBMT), St. Ingbert, Germany
fYear :
2009
fDate :
15-20 Nov. 2009
Firstpage :
21
Lastpage :
26
Abstract :
This paper presents a novel approach to artificial energy homeostasis in self-reconfigurable modular robots. Using self-monitoring and self-sufficiency principles, energy harvesting in a system of distributed energy sources is proposed. In conjunction with this, we propose an artificial immune system that incorporates on-board power management system for adaptive real time detection of errors which acts as an indicator to a robot to harvest energy from other robots within the local vicinity. Early experiments show that the Artificial Immune System affords a high level of error detection within the power module and will prove to be beneficial in maintaining overall performance of a robotic unit for long periods of time.
Keywords :
artificial immune systems; error detection; monitoring; robots; self-adjusting systems; artificial energy homeostasis; artificial immune system; autonomous self-reconfigurable modular robotic organism; distributed energy sources; energy harvesting; error detection; on-board power management system; self-monitoring principles; self-sufficiency principles; Adaptive systems; Artificial immune systems; Biomedical computing; Energy management; Home computing; Immune system; Monitoring; Organisms; Power system management; Robot sensing systems; AIS; Self-monitoring; artificial immune system; energy homeostasis; self-reconfigurable modular robots;
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.2009.83
Filename :
5359548
Link To Document :
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