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Paper Abstract and Keywords
Presentation 2020-01-24 15:25
An Extension of the Multistate Network Model with a Self-Recovery Property to the Robot Arm Posture Problem in a Dynamic Environment
Natsuki Shirasawa, Dondogjamts Batbaata (Kyutech), Keiichi Ueda (Univ. Toyama), Hiroaki Wagatsuma (Kyutech) NC2019-68
Abstract (in Japanese) (See Japanese page) 
(in English) According to an ill-posed problem with a certain number of degrees of freedom in the case of determination of a posture of open-linkages, we focused a neural network model that consists of FHN neuron models and applied to the posture determination problem. With respect to the model proposed by Ueda (2019), which is originally proposed as a solver to obtain a optimal pathway to connect between given starting and ending points under conditions of path lengths connecting individual nodes, the basic model has a disadvantage to form the posture inconsistently with previous posture. In the present paper, we analyzed the validity of the model, which is evaluated by the comparison between results from the original model and the model with an additional time constraints. As a consequence, the latter model showed the advantage in comparison with the former model.
Keyword (in Japanese) (See Japanese page) 
(in English) Pathfinding / Robot arm / FitzHugh-Nagumo (FHN) model / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 382, NC2019-68, pp. 51-56, Jan. 2020.
Paper # NC2019-68 
Date of Issue 2020-01-16 (NC) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee NLP NC  
Conference Date 2020-01-23 - 2020-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Miyakojima Marine Terminal 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2020-01-NLP-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Extension of the Multistate Network Model with a Self-Recovery Property to the Robot Arm Posture Problem in a Dynamic Environment 
Sub Title (in English)  
Keyword(1) Pathfinding  
Keyword(2) Robot arm  
Keyword(3) FitzHugh-Nagumo (FHN) model  
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1st Author's Name Natsuki Shirasawa  
1st Author's Affiliation Kyushu Institute of Technology (Kyutech)
2nd Author's Name Dondogjamts Batbaata  
2nd Author's Affiliation Kyushu Institute of Technology (Kyutech)
3rd Author's Name Keiichi Ueda  
3rd Author's Affiliation University of Toyama (Univ. Toyama)
4th Author's Name Hiroaki Wagatsuma  
4th Author's Affiliation Kyushu Institute of Technology (Kyutech)
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Speaker Author-1 
Date Time 2020-01-24 15:25:00 
Presentation Time 20 minutes 
Registration for NC 
Paper # NC2019-68 
Volume (vol) vol.119 
Number (no) no.382 
Page pp.51-56 
#Pages
Date of Issue 2020-01-16 (NC) 


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