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

Please use this identifier to cite or link to this item:
Información del item - Informació de l'item - Item information
Title: Model of Competencies for Decomposition of Human Behavior: Application to Control System of Robots
Authors: Berna-Martinez, Jose Vicente | Maciá Pérez, Francisco
Research Group/s: GrupoM. Redes y Middleware
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Bioinspired robots | Human behavior | Human model of competencies | Robot behavior | Robot-human interaction
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: 21-Feb-2013
Publisher: Maxwell Scientific Organization
Citation: Research Journal of Applied Sciences, Engineering and Technology. 2013, 5(6): 2180-2191
Abstract: 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.
ISSN: 2040-7459 (Print) | 2040-7467 (Online)
Language: eng
Type: info:eu-repo/semantics/article
Rights: © Maxwell Scientific Organization, 2013
Peer Review: si
Publisher version:
Appears in Collections:INV - GrupoM - Artículos de Revistas

Files in This Item:
Files in This Item:
File Description SizeFormat 
Thumbnail2013_Berna_Macia_RJASET.pdf242,34 kBAdobe PDFOpen Preview

Items in RUA are protected by copyright, with all rights reserved, unless otherwise indicated.