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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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- WATANABE Mutsumi
- The Graduate School of Science and Engineering, Kagoshima University
Bibliographic Information
- Other Title
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- 物体認識に基づく経時的環境モデリングに関する研究
Description
<p>In order for a robot to make a correct action decision, it is necessary to accurately provide environmental information to the robot. Therefore, this research proposes a method that can process environmental information more accurately and flexibly by modeling the environment over time based on object information from sensors. Unlike the conventional method of creating an environmental map, structuring is performed simultaneously with acquisition of environmental information. With this structuring, processing is flexibly performed even on an object that does not exist in the deep learning model. An evaluation experiment was performed in a laboratory to show the usefulness of the 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) 2020 (0), 2P1-K13-, 2020
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390849376475440768
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- NII Article ID
- 130007944373
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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
- OpenAIRE
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- Abstract License Flag
- Disallowed