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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NC2019-68 |
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) |
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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) |
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Keyword(1) |
Pathfinding |
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Robot arm |
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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) |
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Hiroaki Wagatsuma |
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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 |
6 |
Date of Issue |
2020-01-16 (NC) |