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Image-based neural network controllers for mobile robots to track a human

This paper proposes an image-based visual servoing method for human tracking by a mobile robot. Three neural networks that determine control inputs from image features are designed as controllers, where they are learned by using the genetic algorithm. We examine the network structure that is suitabl...

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Main Authors: Ikeda, Masaaki, Fujioka, H, Watanabe, K, Maeyama, S, Nagai, I
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
T Technology (General)
Online Access:http://eprints.unisza.edu.my/553/1/FH03-FRIT-16-05452.jpg
http://eprints.unisza.edu.my/553/
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spelling my-unisza-ir.5532020-10-25T04:06:16Z http://eprints.unisza.edu.my/553/ Image-based neural network controllers for mobile robots to track a human Ikeda, Masaaki Fujioka, H Watanabe, K Maeyama, S Nagai, I T Technology (General) This paper proposes an image-based visual servoing method for human tracking by a mobile robot. Three neural networks that determine control inputs from image features are designed as controllers, where they are learned by using the genetic algorithm. We examine the network structure that is suitable as a controller for the present objective by using simulations. 2015 Conference or Workshop Item NonPeerReviewed image en http://eprints.unisza.edu.my/553/1/FH03-FRIT-16-05452.jpg Ikeda, Masaaki and Fujioka, H and Watanabe, K and Maeyama, S and Nagai, I (2015) Image-based neural network controllers for mobile robots to track a human. In: 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015, 31 May - 3 June 2015, Sutera Harbour ResortKota Kinabalu; Malaysia.
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Ikeda, Masaaki
Fujioka, H
Watanabe, K
Maeyama, S
Nagai, I
Image-based neural network controllers for mobile robots to track a human
description This paper proposes an image-based visual servoing method for human tracking by a mobile robot. Three neural networks that determine control inputs from image features are designed as controllers, where they are learned by using the genetic algorithm. We examine the network structure that is suitable as a controller for the present objective by using simulations.
format Conference or Workshop Item
author Ikeda, Masaaki
Fujioka, H
Watanabe, K
Maeyama, S
Nagai, I
author_facet Ikeda, Masaaki
Fujioka, H
Watanabe, K
Maeyama, S
Nagai, I
author_sort Ikeda, Masaaki
title Image-based neural network controllers for mobile robots to track a human
title_short Image-based neural network controllers for mobile robots to track a human
title_full Image-based neural network controllers for mobile robots to track a human
title_fullStr Image-based neural network controllers for mobile robots to track a human
title_full_unstemmed Image-based neural network controllers for mobile robots to track a human
title_sort image-based neural network controllers for mobile robots to track a human
publishDate 2015
url http://eprints.unisza.edu.my/553/1/FH03-FRIT-16-05452.jpg
http://eprints.unisza.edu.my/553/
_version_ 1683234896011591680
score 13.214268

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