Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2023-03-24 14:30
A study of reinforcemtent learning-based AGV route scheduling using local graph information
Hirotada Sugimoto, Shaswot Shresthamali, Masaaki Kondo (Keio Univ.) CPSY2022-49 DC2022-108
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a reinforcement learning-based route planning method for multiple AGVs. The proposed scheduling method uses a local graphs stricture that provide information on the actions and routes among AGVs, and also uses node information extracted only within the scope where each AGV can act in order to reduce the input dimension. We found that the proposed method can improve the throughput of task processing in a realistic problem setting compared with the case that uses entire graph information.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep reinforcement learning / AGV / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 451, CPSY2022-49, pp. 89-94, March 2023.
Paper # CPSY2022-49 
Date of Issue 2023-03-16 (CPSY, DC) 
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)
Download PDF CPSY2022-49 DC2022-108

Conference Information
Committee DC CPSY IPSJ-SLDM IPSJ-EMB IPSJ-ARC  
Conference Date 2023-03-23 - 2023-03-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Amagi Town Disaster Prevention Center (Tokunoshima) 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CPSY 
Conference Code 2023-03-DC-CPSY-SLDM-EMB-ARC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study of reinforcemtent learning-based AGV route scheduling using local graph information 
Sub Title (in English)  
Keyword(1) Deep reinforcement learning  
Keyword(2) AGV  
Keyword(3)  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Hirotada Sugimoto  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Shaswot Shresthamali  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Masaaki Kondo  
3rd Author's Affiliation Keio University (Keio Univ.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2023-03-24 14:30:00 
Presentation Time 25 minutes 
Registration for CPSY 
Paper # CPSY2022-49, DC2022-108 
Volume (vol) vol.122 
Number (no) no.451(CPSY), no.452(DC) 
Page pp.89-94 
#Pages 6 
Date of Issue 2023-03-16 (CPSY, DC) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan