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  1. B. 理工学域; 数物科学類・物質化学類・機械工学類・フロンティア工学類・電子情報通信学類・地球社会基盤学類・生命理工学類
  2. b 10. 学術雑誌掲載論文
  3. 1.査読済論文(工)

Autonomous Environment Recognition by Robotic Manipulators

http://hdl.handle.net/2297/1799
http://hdl.handle.net/2297/1799
058978a4-0ae0-42cb-bda3-e3399533d7b2
名前 / ファイル ライセンス アクション
TE-PR-SENDA-K-CIRA2001TP-7-3.pdf TE-PR-SENDA-K-CIRA2001TP-7-3.pdf (998.5 kB)
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 Autonomous Environment Recognition by Robotic Manipulators
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
著者 Senda, Kei

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WEKO 9835
研究者番号 60206662

Senda, Kei

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Okano, Yuzo

× Okano, Yuzo

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Okano, Yuzo

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書誌情報 IEEE International Symposium on Computational Intelligence in Robotics and Automation

p. 444-449, 発行日 2001-08-01
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/cira.2001.1013241
その他の識別子
内容記述タイプ Other
内容記述 TP-7-3
出版者
出版者 IEEE
抄録
内容記述タイプ Abstract
内容記述 This paper discusses methods of autonomus environment recognition and action by a robotic manipulator working with dynamic interaction to the enviroment, e.g., assembling. A method automatically recognizes the contacting situation with the work site from the sensor outputs and the robotic manipulator motion. The autonomous recognition then discriminates the constraint conditions at manopulator hand using the self-organizing map that is a kind of unsupervisedlearning of neural networks. The discrimination of the constraint conditions is successfully demonstraed by a numerical simulation of a 3-link SCARA type manipulator. Another is for the cognitive action. Some approaches based on the reinforcement learnin are proposed. They give models of cognitive actions and aproaches to so-called frame problem obstructing efficient learning and action.
権利
権利情報 Copyright (C) 2001 IEEE.. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE..IEEE International Symposium on Computational Intelligence in Robotics and Automation ,pp.444-449 (TP-7-3)
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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