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Neuro-Controllers, scalability and adaptation

Fernández León, José A. et al · SEDICI UNLP · 2006

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Author / responsible party
Fernández León, José A. et al
Publisher
SEDICI UNLP
Year
2006
Language
English

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A Layered Evolution (LE) paradigm based method for the generation of a neuron-controller is developed and verified through simulations and experimentally. It is intended to solve scalability issues in systems with many behavioral modules. Each and every module is a genetically evolved neuro-controller specialized in performing a different task. The main goal is to reach a combination of different basic behavioral elements using different artificial neural-network paradigms concerning mobile robot navigation in an unknown environment. The obtained controller is evaluated over different scenarios in a structured environment, ranging from a detailed simulation model to a real experiment. Finally most important implies are shown through several focuses. Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Fernández León, J. A. E. A. (2006). Neuro-Controllers, scalability and adaptation. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/22665

MLA

Fernández León, José A. et al. Neuro-Controllers, scalability and adaptation. SEDICI UNLP, 2006. http://sedici.unlp.edu.ar/handle/10915/22665.

Chicago

Fernández León, José A. et al. 2006. Neuro-Controllers, scalability and adaptation. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/22665.

Harvard

Fernández León, J. A. E. A. 2006, Neuro-Controllers, scalability and adaptation, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/22665 [Accessed 10 Aug. 2026].

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Title
Neuro-Controllers, scalability and adaptation
Author / contributors
Fernández León, José A. et al
Publisher
SEDICI UNLP
Publication year
2006
Language
English

Subjects

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Ciencias Informáticas; Robotics; Robótica; evolutionary robotics; adaptative systems; scalability
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