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- YAMAMOTO Kouhei
- The Graduate School of Science and Engineering, Kagoshima University
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- FUKUMOTO Shinya
- The Graduate School of Science and Engineering, Kagoshima University
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- KASHIMA Masayuki
- The Graduate School of Science and Engineering, Kagoshima University
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- SATO Kiminori
- The Graduate School of Science and Engineering, Kagoshima University
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- WATANABE Mutsumi
- The Graduate School of Science and Engineering, Kagoshima University
Bibliographic Information
- Other Title
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- 階層型環境地図の自動構築に関する研究
Description
<p>Social advancement of robots has become remarkable, and there are many opportunities to see in daily life. Therefore, in this paper we proposed a new method for creating an environmental map of a robot. In the conventional method, object information was included after map creation in order to include object information. The method proposed in this paper automates the creation of environment map including object information by creating deep learning in real time when creating the environment map. It is thought that this makes it possible to give general versatility to robot action decisions. Experimental results showed the effectiveness of the proposed method.</p>
Journal
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- The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
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The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2019 (0), 1A1-F09-, 2019
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390846609786915712
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- NII Article ID
- 130007774049
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- ISSN
- 24243124
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed