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Paper Abstract and Keywords
Presentation 2024-10-03 14:30
Object Location Interpretation for Service Robots using Vision-Language Model and Object Detection Model
Kosei Yamao, Daiju Kanaoka, Kosei Isomoto, Hakaru Tamukoh (Kyutech) SIS2024-19
Abstract (in Japanese) (See Japanese page) 
(in English) Service robots are required to understand and execute various commands from humans. However, robots have challenges recognizing the environment and interpreting an object's location. For example, when a robot receives a command, ``Bring me the fruit behind the cup,'' it cannot understand the concept of "behind" in real-world space, making it difficult to perform the command correctly. To solve this problem, we propose a new method in which a vision-language model can accurately understand the positional relationship of target objects by overlaying marks only on the objects to be recognized using an object detection model. Experimental results show that the proposed system is more accurate than the previous method.
Keyword (in Japanese) (See Japanese page) 
(in English) object location interpretation / service robots / visual prompting / object detection / vision-language model / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 195, SIS2024-19, pp. 19-23, Oct. 2024.
Paper # SIS2024-19 
Date of Issue 2024-09-26 (SIS) 
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 SIS2024-19

Conference Information
Committee SIS ITE-BCT  
Conference Date 2024-10-03 - 2024-10-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokusei Gakuen Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIS 
Conference Code 2024-10-SIS-BCT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Object Location Interpretation for Service Robots using Vision-Language Model and Object Detection Model 
Sub Title (in English)  
Keyword(1) object location interpretation  
Keyword(2) service robots  
Keyword(3) visual prompting  
Keyword(4) object detection  
Keyword(5) vision-language model  
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1st Author's Name Kosei Yamao  
1st Author's Affiliation Kyushu Institute of Technology (Kyutech)
2nd Author's Name Daiju Kanaoka  
2nd Author's Affiliation Kyushu Institute of Technology (Kyutech)
3rd Author's Name Kosei Isomoto  
3rd Author's Affiliation Kyushu Institute of Technology (Kyutech)
4th Author's Name Hakaru Tamukoh  
4th Author's Affiliation Kyushu Institute of Technology (Kyutech)
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Speaker Author-1 
Date Time 2024-10-03 14:30:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2024-19 
Volume (vol) vol.124 
Number (no) no.195 
Page pp.19-23 
#Pages 5 
Date of Issue 2024-09-26 (SIS) 

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