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
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;
Conference_Titel :
Neural Networks, 2008. SBRN '08. 10th Brazilian Symposium on
Conference_Location :
Salvador
Print_ISBN :
978-1-4244-3219-6
Electronic_ISBN :
1522-4899
DOI :
10.1109/SBRN.2008.40
