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  1. H-4. 設計製造技術研究所
  2. h-4 10. 学術雑誌掲載論文
  3. 1. 査読済論文

Sensor-based analysis of high-precision insertion tasks

https://doi.org/10.24517/00007531
https://doi.org/10.24517/00007531
b112927f-df0c-4b0a-b288-9d8c6c0645a9
名前 / ファイル ライセンス アクション
TE-PR-YONEYAMA-T-1892.pdf TE-PR-YONEYAMA-T-1892.pdf (347.0 kB)
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Item type 学術雑誌論文 / Journal Article(1)
公開日 2017-10-03
タイトル
タイトル Sensor-based analysis of high-precision insertion tasks
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
ID登録
ID登録 10.24517/00007531
ID登録タイプ JaLC
著者 Yamamoto, Yoshio

× Yamamoto, Yoshio

WEKO 10042

Yamamoto, Yoshio

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Yoneyama, Takeshi

× Yoneyama, Takeshi

WEKO 119
e-Rad 30175020
金沢大学研究者情報 30175020
研究者番号 30175020

Yoneyama, Takeshi

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Hashimoto, Tadashi

× Hashimoto, Tadashi

WEKO 10043

Hashimoto, Tadashi

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Okubo, Takahiro

× Okubo, Takahiro

WEKO 10044

Okubo, Takahiro

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Itoh, Toyotsugu

× Itoh, Toyotsugu

WEKO 10045

Itoh, Toyotsugu

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著者別表示 米山, 猛

× 米山, 猛

米山, 猛

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提供者所属
内容記述タイプ Other
内容記述 金沢大学大学院自然科学研究科知的システム創成
提供者所属
内容記述タイプ Other
内容記述 金沢大学工学部
書誌情報 IEEE International Conference on Intelligent Robots and Systems

巻 2, p. 1892-1897, 発行日 2002-01-01
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/irds.2002.1044032
出版者
出版者 Institute of Electrical and Electronics Engineers (IEEE)
抄録
内容記述タイプ Abstract
内容記述 A lot of research efforts an assembly automation problems have been given by many researchers from a variety of communities, e.g., manufacturing, robotics, artificial intelligence and so on. They mostly focused on the geometric constraints related to a considered task, e.g., relative configuration change between the peg and the hole. Such an approach, however, seems valid only when the dimensional tolerance is fairly large so that it allows to change the relative configuration of the two mating parts in an obvious fashion. This paper investigates the mechanism of a high-precision insertion process from the viewpoint of sensory information. Tolerance considered in the present study is approximately 5 μm. Currently the assembly task is being conducted by skilled human workers. In order to analyze the insertion task, we focus on force and moment information and inclination measurements. Conventional approach, i.e., a position-based analysis, is not appropriate for such a narrow dimensional tolerance because it is unlikely that human operators conduct the task based on position information. This paper presents a newly developed, high-sensitivity moment sensor and experimental results in high-precision insertion tasks.
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
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