Paper Info
Title
INVESTIGATION ON THE EVOLUTION OF AN INDOOR ROBOTIC LOCALIZATION SYSTEM BASED ON WIRELESS NETWORKS
Abstract
This work addresses the evolution of an artificial neural network ANN to assist in the problem of indoor robotic localization. We investigate the design and building of an autonomous localization system based on information gathered from wireless networks WN. The article focuses on the evolved ANN, which provides the position of a robot in a space, as in a Cartesian coordinate system, corroborating with the evolutionary robotic research area and showing its practical viability. The proposed system was tested in several experiments, evaluating not only the impact of different evolutionary computation parameters but also the role of the transfer functions on the evolution of the ANN. Results show that slight variations in the parameters lead to significant differences on the evolution process and, therefore, in the accuracy of the robot position.
Year
DOI
Venue
2013
10.1080/08839514.2013.823328
Applied Artificial Intelligence
Keywords
Field
DocType
significant difference,evolution process,artificial neural network ann,different evolutionary computation parameter,wireless networks,indoor robotic localization system,evolutionary robotic research area,proposed system,robot position,indoor robotic localization,practical viability,autonomous localization system,optimization
Wireless network,Robot position,Computer science,Evolutionary computation,Transfer function,Localization system,Artificial intelligence,Artificial neural network,Robot,Machine learning,Cartesian coordinate system
Journal
Volume
Issue
ISSN
27
8
0883-9514
Citations 
PageRank 
References 
4
0.45
12
Authors
9
Name
Order
Citations
PageRank
Gustavo Pessin116423.10
Fernando S. Osório2485.92
Jefferson R. Souza3467.19
Jó Ueyama416322.03
Fausto G. Costa5413.89
Denis F. Wolf631130.16
Desislava Dimitrova7102.32
Torsten Braun81587190.59
Patrícia A. Vargas9293.56