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| Presentation | 2021-01-22 10:05 Verification of a Visuomotor Integration Model for Grasping the Cups of Different Sizes with a Multi-Fingered Robot Hand Motoi Matsuda, Naohiro Fukumura (Toyohashi Univ. of Tech)  NC2020-36 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Object recognition and object grasping using image recognition methods have been actively researched, but most of them classify limited objects given as supervised learning and determine the gripping shape. In this study, a real robot hand with four fingers is used to grasp a cup of different size by multiple hand shapes. The modular auto-encoder that inputs the images of the cup and the shape of the hand at the same time is trained. After the learning, we confirmed that the size of the cups that is the features of the object is extracted. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Object Grasping / Object Recognition / Neural Network Model / Auto-Encoder / Feature Extraction / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 331, NC2020-36, pp. 24-28, Jan. 2021. | |
| Paper # | NC2020-36 | |
| Date of Issue | 2021-01-14 (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) | |
| Download PDF | NC2020-36 |
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| Conference Information | |
| Committee | NC NLP |
| Conference Date | 2021-01-21 - 2021-01-22 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | NC，NLP |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2021-01-NC-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Verification of a Visuomotor Integration Model for Grasping the Cups of Different Sizes with a Multi-Fingered Robot Hand |
| Sub Title (in English) | |
| Keyword(1) | Object Grasping |
| Keyword(2) | Object Recognition |
| Keyword(3) | Neural Network Model |
| Keyword(4) | Auto-Encoder |
| Keyword(5) | Feature Extraction |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Motoi Matsuda |
| 1st Author's Affiliation | Toyohashi University of Technology (Toyohashi Univ. of Tech) |
| 2nd Author's Name | Naohiro Fukumura |
| 2nd Author's Affiliation | Toyohashi University of Technology (Toyohashi Univ. of Tech) |
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| Speaker | Author-1 |
| Date Time | 2021-01-22 10:05:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2020-36 |
| Volume (vol) | vol.120 |
| Number (no) | no.331 |
| Page | pp.24-28 |
| #Pages | 5 |
| Date of Issue | 2021-01-14 (NC) |
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