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  1. 02 情報科学
  2. 01 学術雑誌論文

Design of physical user$2013robot interactions for model identification of soft actuators on exoskeleton robots

http://hdl.handle.net/10061/0002000127
http://hdl.handle.net/10061/0002000127
bb11d809-65d5-4e2b-9ea2-467426817529
アイテムタイプ 学術雑誌論文 / Journal Article(1)
公開日 2024-02-16
タイトル
タイトル Design of physical user$2013robot interactions for model identification of soft actuators on exoskeleton robots
言語
言語 eng
キーワード
主題Scheme Other
主題 Soft actuators
キーワード
主題Scheme Other
主題 exoskeleton robots
キーワード
主題Scheme Other
主題 physical human$2013robot interactions
キーワード
主題Scheme Other
主題 human-in-the-loop
キーワード
主題Scheme Other
主題 Gaussian process
キーワード
主題Scheme Other
主題 active learning
資源タイプ
資源タイプ journal article
アクセス権
アクセス権 open access
著者 Hamaya, Masashi

× Hamaya, Masashi

en Hamaya, Masashi

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松原, 崇充

× 松原, 崇充

WEKO 181
e-Rad_Researcher 20508056

ja 松原, 崇充

ja-Kana マツバラ, タカミツ

en Matsubara, Takamitsu

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Teramae, Tatsuya

× Teramae, Tatsuya

en Teramae, Tatsuya

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Noda, Tomoyuki

× Noda, Tomoyuki

en Noda, Tomoyuki

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Morimoto, Jun

× Morimoto, Jun

en Morimoto, Jun

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抄録
内容記述タイプ Abstract
内容記述 Recent breakthroughs in wearable robots, such as exoskeleton robots with soft actuators and soft exosuits, have enabled the use of safe and comfortable movement assistance. However, modeling and identification methods for soft actuators used in wearable robots have yet to be sufficiently explored. In this study, we propose a novel approach for obtaining accurate soft actuator models through the design of physical user$2013robot interactions for wearable robots, in which the user applies external forces to the robot. To obtain an accurate soft actuator model from the limited amount of data acquired through an interaction, we leverage an active learning framework based on Gaussian process regression. We conducted experiments using a two-degree-of-freedom upper-limb exoskeleton robot with four pneumatic artificial muscles (PAMs). Experimental results showed that physical interactions between the exoskeleton robot and the user were successfully designed to allow PAM models to be identified. Furthermore, we found that data acquired through an interaction could result in more accurate soft actuator models for the exoskeleton robots than data acquired without a physical interaction between the exoskeleton robot and the user.
書誌情報 en : The International Journal of Robotics Research

巻 40, 号 1, p. 397-410, 発行日 2019-06-06
出版者
出版者 SAGE Publications
ISSN
収録物識別子タイプ EISSN
収録物識別子 1741-3176
出版者版DOI
関連タイプ isReplacedBy
識別子タイプ DOI
関連識別子 https://doi.org/10.1177/0278364919853618
出版者版URI
関連タイプ isReplacedBy
識別子タイプ URI
関連識別子 https://journals.sagepub.com/doi/10.1177/0278364919853618
権利
権利情報Resource https://creativecommons.org/licenses/by-nc/4.0/
権利情報 $00A9 The Author(s) 2019. https://creativecommons.org/licenses/by-nc/4.0/
著者版フラグ
出版タイプ NA
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