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| Presentation | 2020-03-05 15:30 Deep Neural Networks for Object Detection and Classification on Domestic Service Robots Yutaro Ishida, Hakaru Tamukoh (Kyutech)  SIS2019-45 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We propose a semi-automatic data set generation method, and a system integration method of robot operating system (ROS) and an field programmable gate array (FPGA) which implemented deep neural networks (DNN), to apply DNN to object detection and recognition on domestic service robots. The proposed methods reduce the manpower required to create a dataset, and implement DNN which is high speed processing and low power consumption into robots. We trained DNN using a dataset generated by the proposed method, implemented it on a robot, and evaluated the number of successful object grasps. In addition, we implemented DNN with the proposed method and other processors, and evaluated these processing performance. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | DNN / Dataset generation / ROS / FPGA / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 458, SIS2019-45, pp. 45-50, March 2020. | |
| Paper # | SIS2019-45 | |
| Date of Issue | 2020-02-27 (SIS) | |
| 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 | SIS2019-45 |
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| Conference Information | |
| Committee | SIS |
| Conference Date | 2020-03-05 - 2020-03-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Saitama Hall |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Soft Computing, etc. |
| Paper Information | |
| Registration To | SIS |
| Conference Code | 2020-03-SIS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Deep Neural Networks for Object Detection and Classification on Domestic Service Robots |
| Sub Title (in English) | |
| Keyword(1) | DNN |
| Keyword(2) | Dataset generation |
| Keyword(3) | ROS |
| Keyword(4) | FPGA |
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| 1st Author's Name | Yutaro Ishida |
| 1st Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 2nd Author's Name | Hakaru Tamukoh |
| 2nd Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
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| Speaker | Author-1 |
| Date Time | 2020-03-05 15:30:00 |
| Presentation Time | 40 minutes |
| Registration for | SIS |
| Paper # | SIS2019-45 |
| Volume (vol) | vol.119 |
| Number (no) | no.458 |
| Page | pp.45-50 |
| #Pages | 6 |
| Date of Issue | 2020-02-27 (SIS) |
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