DocumentCode
3281542
Title
A Neural Network Generating Adaptive Rhythms for Controlling Behavior Based Robotic Systems
Author
Burattini, Ernesto ; Rossi, Silvia ; De Gregorio, Massimo
Author_Institution
Dipt. di Sci. Fisiche, Univ. degli Studi di Napoli "Federico II", Naples
fYear
2008
fDate
26-30 Oct. 2008
Firstpage
15
Lastpage
20
Abstract
Influenced by the results obtained in neuroscience and biology, we have introduced a model (AIRM) that, inspired by biological rhythms, adaptively controls a behavior based robotic system (BBRS). The proposed model is implemented by means of an NSP (neuro symbolic processor). Since the NSP can be implemented on FPGA, we can take advantage of a parallel execution of the AIRM model and then an improvement of the BBRS performance.
Keywords
adaptive control; medical robotics; neurocontrollers; AIRM; FPGA; behavior based robotic systems; biology; neural network generating adaptive rhythms; neuro symbolic processor; neuroscience; Adaptive control; Adaptive systems; Biological neural networks; Biological system modeling; Control systems; Neural networks; Neuroscience; Programmable control; Rhythm; Robot control;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2008. SBRN '08. 10th Brazilian Symposium on
Conference_Location
Salvador
ISSN
1522-4899
Print_ISBN
978-1-4244-3219-6
Electronic_ISBN
1522-4899
Type
conf
DOI
10.1109/SBRN.2008.40
Filename
4665885
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