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Paper Abstract and Keywords
Presentation 2019-11-15 09:30
An application of reinforcement learning in anti-jamming mechanism of mobile robot path planning with co-safe temporal logic specifications
Jian Mi, Naomi Kuze, Toshimitsu Ushio (Osaka Univ.) CCS2019-29
Abstract (in Japanese) (See Japanese page) 
(in English) This paper provides a method for mobile robot path planning with syntactically co-safe Linear Temporal Logic (scLTL) specifications to protect realizable communication between a mobile robot and applications from jamming attacks. To this end, we construct a product Markov decision process (MDP) using scLTL specifications and MDP. The MDP is used for policy learning and scLTL specifications are used to check whether the designed multiple tasks are accomplished in the product MDP. An anti-jamming mechanism based on reinforcement learning is proposed to learn an optimal path avoiding jamming attacks. Simulation results show that our method can learn an optimal control policy that avoids jamming attacks.
Keyword (in Japanese) (See Japanese page) 
(in English) Path planning / scLTL specification / MDP / Anti-jamming mechanism / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 289, CCS2019-29, pp. 23-28, Nov. 2019.
Paper # CCS2019-29 
Date of Issue 2019-11-07 (CCS) 
ISSN Print edition: ISSN 0913-5685  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 CCS2019-29

Conference Information
Committee CCS  
Conference Date 2019-11-14 - 2019-11-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Kobe Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Interaction and Communication, etc. 
Paper Information
Registration To CCS 
Conference Code 2019-11-CCS 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An application of reinforcement learning in anti-jamming mechanism of mobile robot path planning with co-safe temporal logic specifications 
Sub Title (in English)  
Keyword(1) Path planning  
Keyword(2) scLTL specification  
Keyword(3) MDP  
Keyword(4) Anti-jamming mechanism  
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1st Author's Name Jian Mi  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Naomi Kuze  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Toshimitsu Ushio  
3rd Author's Affiliation Osaka University (Osaka Univ.)
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Speaker
Date Time 2019-11-15 09:30:00 
Presentation Time 25 
Registration for CCS 
Paper # IEICE-CCS2019-29 
Volume (vol) IEICE-119 
Number (no) no.289 
Page pp.23-28 
#Pages IEICE-6 
Date of Issue IEICE-CCS-2019-11-07 


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