Effect of a Low Level Imitation Strategy on an Autonomous Multi-Robot System Using On-Line Learning for Cognitive Map Building
| Autor: | Chatty, Abdelhak, Khursheed Hasnain, Syed, Gaussier, Philippe, Kallel, Ilhem, Laroque, Philippe, Alimi, Adel M. |
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| Přispěvatelé: | Département de Génie Électrique de Sfax [ENIS] (CEM Lab - ENIS), École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax (ENIS), Equipes Traitement de l'Information et Systèmes (ETIS - UMR 8051), CY Cergy Paris Université (CY)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA), NEURO, CY Cergy Paris Université (CY)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-CY Cergy Paris Université (CY)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA), Chatty, Abdelhak |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
[NLIN.NLIN-AO] Nonlinear Sciences [physics]/Adaptation and Self-Organizing Systems [nlin.AO]
[SCCO.NEUR]Cognitive science/Neuroscience [SCCO.NEUR] Cognitive science/Neuroscience [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO] [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO] [NLIN.NLIN-AO]Nonlinear Sciences [physics]/Adaptation and Self-Organizing Systems [nlin.AO] |
| Zdroj: | Proceedings IEEE International Conference on Robotics and Biomimetics (ROBIO 2012) IEEE International Conference on Robotics and Biomimetics (ROBIO 2012), Dec 2012, Guangzhou, China. pp.1-6 |
| Popis: | International audience; In this paper, we present the interest of low level imitation strategy on individual and population levels in the field of Multi-Robot System. Particularly, we show that adding a simple imitation capability to our bio-inspired architecture boosts the ability of individual cognitive map building. Taking into account the notion of imitative behavior, we also show that the individual discoveries in each robot (i.e. goals) could have an effect on population level and therfore it induces a new learning capability at the individual level. To analyze and validate our hypothesis, a series of experiments have been performed with and without a low level imitation strategy. |
| Databáze: | OpenAIRE |
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