Distributed Real Time Neural Networks In Interactive Complex Systems
| Autor: | Gaussier Philippe, Andry Pierre, Lagarde Matthieu |
|---|---|
| Přispěvatelé: | Equipes Traitement de l'Information et Systèmes (ETIS - UMR 8051), Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), Ile-De-France, Feelix Growing, Lagarde, Matthieu |
| Jazyk: | angličtina |
| Rok vydání: | 2008 |
| Předmět: |
distributed systems
robotics real time Artificial neural network Artificial neural networks Computer science business.industry Time delay neural network Frame (networking) [SCCO.COMP]Cognitive science/Computer science Robotics Mobile robot 02 engineering and technology Robot learning 03 medical and health sciences 0302 clinical medicine [SCCO.COMP] Cognitive science/Computer science Real-time Control System 0202 electrical engineering electronic engineering information engineering Robot 020201 artificial intelligence & image processing Artificial intelligence business 030217 neurology & neurosurgery |
| Zdroj: | CSTST |
| Popis: | 6 pages; In this paper, we present two graphical softwares which help the modeling and the simulation of real time, distributed neural networks (NNs). Used in the frame of the development of control architectures for autonomous robots, these softwares allow a real time control and an on-line learning of different behaviors. We present as an illustration two control architectures: the first one allowing a mobile robot to navigate using on-line learning of visual places, and the second one allowing a robotic head to learn to express a given set of emotions during imitation games. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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