Usage of hybrid neural network model MLP-ART for navigation of mobile robot

Andrey Gavrilov; Sungyoung Lee

doi:10.1007/978-3-540-74205-0_21

Usage of hybrid neural network model MLP-ART for navigation of mobile robot

Andrey Gavrilov, Sungyoung Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

We suggest to apply the hybrid neural network based on multi layer perceptron (MLP) and adaptive resonance theory (ART-2) for solving of navigation task of mobile robots. This approach provides semi supervised learning in unknown environment with incremental learning inherent to ART and capability of adaptation to transformation of images inherent to MLP. Proposed approach is evaluated in experiments with program model of robot.

Original language	English
Title of host publication	Advanced Intelligent Computing Theories and Applications
Subtitle of host publication	With Aspects of Artificial Intelligence - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings
Publisher	Springer Verlag
Pages	182-191
Number of pages	10
ISBN (Print)	9783540742012
DOIs	https://doi.org/10.1007/978-3-540-74205-0_21
Publication status	Published - 2007
Event	3rd International Conference on Intelligent Computing, ICIC 2007 - Qingdao, China Duration: 21 Aug 2007 → 24 Aug 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4682 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Conference on Intelligent Computing, ICIC 2007
Country/Territory	China
City	Qingdao
Period	21/08/07 → 24/08/07

Keywords

Adaptive resonance theory
Hybrid intelligent system
Mobile robot
Neural networks

Access to Document

10.1007/978-3-540-74205-0_21

Cite this

Gavrilov, A., & Lee, S. (2007). Usage of hybrid neural network model MLP-ART for navigation of mobile robot. In Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings (pp. 182-191). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4682 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-540-74205-0_21

Gavrilov, Andrey ; Lee, Sungyoung. / Usage of hybrid neural network model MLP-ART for navigation of mobile robot. Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings. Springer Verlag, 2007. pp. 182-191 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Gavrilov, A & Lee, S 2007, Usage of hybrid neural network model MLP-ART for navigation of mobile robot. in Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4682 LNAI, Springer Verlag, pp. 182-191, 3rd International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, 21/08/07. https://doi.org/10.1007/978-3-540-74205-0_21

Usage of hybrid neural network model MLP-ART for navigation of mobile robot. / Gavrilov, Andrey; Lee, Sungyoung.
Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings. Springer Verlag, 2007. p. 182-191 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4682 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - We suggest to apply the hybrid neural network based on multi layer perceptron (MLP) and adaptive resonance theory (ART-2) for solving of navigation task of mobile robots. This approach provides semi supervised learning in unknown environment with incremental learning inherent to ART and capability of adaptation to transformation of images inherent to MLP. Proposed approach is evaluated in experiments with program model of robot.

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Gavrilov A, Lee S. Usage of hybrid neural network model MLP-ART for navigation of mobile robot. In Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings. Springer Verlag. 2007. p. 182-191. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-74205-0_21

Usage of hybrid neural network model MLP-ART for navigation of mobile robot

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