Distributed processing for modelling real-time multimodal perception in a virtual robot
Overview & Synopsis
Built from a need for modelling cognitive processes, a modular neural network is designed as the "brain" of a virtual robot moving in a prey-predator environment. The robot decides its path from the animals it identifies around. Both a parallel implementation of distributed processes and a temporal coding of spiking neurons allow the robot to develop multimodal perception with attentional mechanisms and to react in real-time to its dynamic environment.
Indexed from repository: HAL Open Science
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hal.science)
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Document Information
| Document Title | Distributed processing for modelling real-time multimodal perception in a virtual robot |
|---|---|
| Author / Organization | Sylvain Chevallier, Hélène Paugam-Moisy, François Lemaître |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2005 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-180940 |
| Original Source Link | Visit Source Page on hal.science » |