DocumentCode :
1837674
Title :
Implementation of a drosophila-inspired orientation model on the Eye-Ris platform
Author :
Alba, L. ; Arena, P. ; De Fiore, S. ; Patane, L. ; Strauss, R. ; Vagliasindi, G.
Author_Institution :
Inst. f. Zool. Ill - Neurobiol., Univ. of Mainz, Mainz, Germany
fYear :
2010
fDate :
3-5 Feb. 2010
Firstpage :
1
Lastpage :
6
Abstract :
A behavioral model, recently derived from experiments on fruit-flies, was implemented, with successful comparative experiments on orientation control in real robots. This model has been firstly implemented in a standard CNN structure, using an algorithm based on classical, space-invariant templates. Subsequently, the Eye-Ris platform was utilised for the implementation of the whole strategy, at the aim to constitute a stand alone smart sensor for orientation control in bio-inspired robotic platforms. The Eye-Ris vl.2 is a visual system, made by Anafocus, that employs a fully-parallel mixed-signal array sensor-processor chip. Some experiments are reported using a commercial roving platform, the Pioneer P3-AT, showing the reliability of the proposed implementation and usefulness in higher level perceptual tasks.
Keywords :
attitude control; cellular neural nets; eye; image motion analysis; intelligent sensors; microprocessor chips; robot vision; CNN structure; Drosophila-inspired orientation model; Eye-Ris platform; bio-inspired robotic platform; fruit flies; image motion; mixed signal array sensor processor chip; orientation control; space-invariant template; Cellular networks; Cellular neural networks; Detectors; Low pass filters; Motion detection; Motion estimation; Orbital robotics; Robots; Sensor arrays; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4244-6679-5
Type :
conf
DOI :
10.1109/CNNA.2010.5430286
Filename :
5430286
Link To Document :
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