DocumentCode
2392824
Title
Evolutionary computing systems for obstacle avoidance
Author
Bostan, I. ; Franti, E. ; Dascalu, M. ; Goschin, S.
Author_Institution
Univ. of Pitesti, Romania
Volume
2
fYear
2003
fDate
28 Sept.-2 Oct. 2003
Abstract
In this paper we present two neuronal network architectures to perform the task of obstacle avoidance for a little mobile robot named Khepera, which has 8 infrared proximity detectors and two independent motors. The first one used Hebbian learning for weight adaptation and the second one use evolutionary weight selection. The experiments are only simulated.
Keywords
Hebbian learning; mobile robots; neural nets; Hebbian learning; evolutionary computing systems; evolutionary weight selection; infrared proximity detectors; little mobile robot; neuronal network architectures; obstacle avoidance; weight adaptation; Biological neural networks; Control systems; Electronic mail; Genetic mutations; Infrared detectors; Intelligent robots; Mobile robots; Neural networks; Robot control; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Semiconductor Conference, 2003. CAS 2003. International
Print_ISBN
0-7803-7821-0
Type
conf
DOI
10.1109/SMICND.2003.1252464
Filename
1252464
Link To Document