Model of Competencies for Decomposition of Human Behavior: Application to Control System of Robots

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Título: Model of Competencies for Decomposition of Human Behavior: Application to Control System of Robots
Autor/es: Berna-Martinez, Jose Vicente | Maciá Pérez, Francisco
Grupo/s de investigación o GITE: GrupoM. Redes y Middleware
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Palabras clave: Bioinspired robots | Human behavior | Human model of competencies | Robot behavior | Robot-human interaction
Área/s de conocimiento: Arquitectura y Tecnología de Computadores
Fecha de publicación: 21-feb-2013
Editor: Maxwell Scientific Organization
Cita bibliográfica: Research Journal of Applied Sciences, Engineering and Technology. 2013, 5(6): 2180-2191
Resumen: Humans and machines have shared the same physical space for many years. To share the same space, we want the robots to behave like human beings. This will facilitate their social integration, their interaction with humans and create an intelligent behavior. To achieve this goal, we need to understand how human behavior is generated, analyze tasks running our nerves and how they relate to them. Then and only then can we implement these mechanisms in robotic beings. In this study, we propose a model of competencies based on human neuroregulator system for analysis and decomposition of behavior into functional modules. Using this model allow separate and locate the tasks to be implemented in a robot that displays human-like behavior. As an example, we show the application of model to the autonomous movement behavior on unfamiliar environments and its implementation in various simulated and real robots with different physical configurations and physical devices of different nature. The main result of this study has been to build a model of competencies that is being used to build robotic systems capable of displaying behaviors similar to humans and consider the specific characteristics of robots.
URI: http://hdl.handle.net/10045/36427
ISSN: 2040-7459 (Print) | 2040-7467 (Online)
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © Maxwell Scientific Organization, 2013
Revisión científica: si
Versión del editor: http://maxwellsci.com/jp/abstract.php?jid=RJASET&no=266&abs=49
Aparece en las colecciones:INV - GrupoM - Artículos de Revistas

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