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Paper Abstract and Keywords
Presentation 2026-03-02 10:55
Development and Evaluation of a MAPF Algorithm Selector under Dynamic Time Constraints
Shunto Yamamoto, Takahiro Uchiya, Yuichiro Tateiwa (NIT) Consen2025-28
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, there has been growing interest in path planning technologies for multi-agent navigation without collisions in various industrial and research fields, such as logistics warehouse automation and autonomous mobile robots. This challenge is formulated as the Multi-Agent Path Finding (MAPF) problem. Since no universal algorithm exists for MAPF,
extensive research has been conducted on methods to select the optimal algorithm from a portfolio based on instance features.
However, existing methods typically set a fixed time limit for evaluation, which poses challenges for real-world deployment.
In this study, we propose an algorithm selection method that considers dynamic time constraints in addition to instance features.
We address the MAPF algorithm selection problem specifically for automated warehouses and demonstrate through evaluation experiments that our method improves performance compared to using a single algorithm.
Keyword (in Japanese) (See Japanese page) 
(in English) MAPF problem / Algorithm Selection Problem / Features / Machine Learning Model / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 377, Consen2025-28, pp. 8-13, March 2026.
Paper # Consen2025-28 
Date of Issue 2026-02-23 (Consen) 
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 Consen2025-28

Conference Information
Committee Consen  
Conference Date 2026-03-02 - 2026-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Research Institute of Electrical Communication, Tohoku University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Co-creative Design and Consensus Design, Disaster Prevention, Multiagent System, etc. 
Paper Information
Registration To Consen 
Conference Code 2026-03-Consen 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development and Evaluation of a MAPF Algorithm Selector under Dynamic Time Constraints 
Sub Title (in English)  
Keyword(1) MAPF problem  
Keyword(2) Algorithm Selection Problem  
Keyword(3) Features  
Keyword(4) Machine Learning Model  
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Keyword(6)  
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1st Author's Name Shunto Yamamoto  
1st Author's Affiliation Nagoya Institute of Technology (NIT)
2nd Author's Name Takahiro Uchiya  
2nd Author's Affiliation Nagoya Institute of Technology (NIT)
3rd Author's Name Yuichiro Tateiwa  
3rd Author's Affiliation Nagoya Institute of Technology (NIT)
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Speaker Author-1 
Date Time 2026-03-02 10:55:00 
Presentation Time 25 minutes 
Registration for Consen 
Paper # Consen2025-28 
Volume (vol) vol.125 
Number (no) no.377 
Page pp.8-13 
#Pages 6 
Date of Issue 2026-02-23 (Consen) 

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