logo
言語
ブックマーク
ログアウト

ジャーナル

論文検索サイト

アカウント

© 2022 Steel Science Portal

ヘルプ

詳細検索

論文検索サイト

site
site
site
site

システム/制御/情報 Vol. 28 (2015), No. 6

ISIJ International
belloff
オンライン版ISSN: 2185-811X
冊子版ISSN: 1342-5668
発行機関: THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)

Backnumber

  1. Vol. 37 (2024)

    1. No.8
    2. No.7
    3. No.6
    4. No.5
    5. No.4
    6. No.3
    7. No.2
    8. No.1

  2. Vol. 36 (2023)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  3. Vol. 35 (2022)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  4. Vol. 34 (2021)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  5. Vol. 33 (2020)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  6. Vol. 32 (2019)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  7. Vol. 31 (2018)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  8. Vol. 30 (2017)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  9. Vol. 29 (2016)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  10. Vol. 28 (2015)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  11. Vol. 27 (2014)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  12. Vol. 26 (2013)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  13. Vol. 25 (2012)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  14. Vol. 24 (2011)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  15. Vol. 23 (2010)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  16. Vol. 22 (2009)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  17. Vol. 21 (2008)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  18. Vol. 20 (2007)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  19. Vol. 19 (2006)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  20. Vol. 18 (2005)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  21. Vol. 17 (2004)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  22. Vol. 16 (2003)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  23. Vol. 15 (2002)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  24. Vol. 14 (2001)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  25. Vol. 13 (2000)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  26. Vol. 12 (1999)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  27. Vol. 11 (1998)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  28. Vol. 10 (1997)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  29. Vol. 9 (1996)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  30. Vol. 8 (1995)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  31. Vol. 7 (1994)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  32. Vol. 6 (1993)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  33. Vol. 5 (1992)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  34. Vol. 4 (1991)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  35. Vol. 3 (1990)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  36. Vol. 2 (1989)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  37. Vol. 1 (1988)

    1. No.7
    2. No.6
    3. No.5
    4. No.4
    5. No.3
    6. No.2
    7. No.1

キーワードランキング

21 Nov. (Last 30 Days)

システム/制御/情報 Vol. 28 (2015), No. 6

環境変動への適応要求度と作業困難度を考慮したロボット化戦略に基づく家庭内作業の動作シーケンス生成法

津坂 優子, 岡崎 安直, 小松 真弓, 横小路 泰義

pp. 237-248

DOI:

10.5687/iscie.28.237

抄録

Future robotic systems intended to be used for domestic housekeeping or elderly care should flexibly adapt to the environment which is uncertain and may fluctuate. However, the current robot systems for industrial domain can operate only in the limited environment and require the special knowledge of the robot motion instructors such as how to use the teaching-pendant and program robot motions. Obviously such requirements are not appropriate for home-use robots. This paper proposes a robot sequence generation method based on the robotizing strategy considering required adaptability to environmental fluctuations and task difficulty for humans and robots. With the proposed method, domestic housekeeping tasks can be classified into three types such as automated tasks with hand-guiding instruction when necessary, human-robot cooperation tasks, and manual tasks without using robot. Then, it is shown that robot motion sequence can be described by a unified framework. The proposed framework is an extension from the one for in-situ robot motion modification method by hand-guiding instruction which was already proposed by the authors. The proposed method is actually applied to a sequence of cooking tasks and experiments are conducted by using a lightweight pneumatic robot arm. The experimental results show the effectiveness of the proposed method.

mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

環境変動への適応要求度と作業困難度を考慮したロボット化戦略に基づく家庭内作業の動作シーケンス生成法

twitter
facebook
mendeley

Bibtex

Ris

コーナー特徴を用いた画像処理と環境モデルの比較に基づくロケーションシステム

香山 　沙織, 太田 俊介, 神代 充, 山内 仁, 滝本 裕則, 亀田 昌宏

pp. 249-257

DOI:

10.5687/iscie.28.249

抄録

Robots which play important roles such as social welfare and services in the home and office are required for the aging society. These robots need a location system which can be adapted in the home environment. Therefore, in this paper, we develop a location system based on comparing of 3D surrounding model with input images of a camera. In this system, corner features such as corners of doors or furnitures, are extracted from inputted images of a camera by ORB. A position and a posture of the camera are estimated by matching these corner features and those of 3D surrounding model. Then, the estimation of the position and the posture is continued by tracing these features using FREAK. The location system can estimate the position and the posture of the camera in a case that the camera is rotated on the optical axis. Furthermore, a mobile robot system which is used the proposed location system is constructed. Using the mobile robot system, traveling experiments are performed. As a result, the mobile robot system could follow the reference path based on the estimated position and posture of the camera, when the camera was rotated on the optical axis.Thus, an effectiveness of the developed location system is demonstrated.

mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

コーナー特徴を用いた画像処理と環境モデルの比較に基づくロケーションシステム

twitter
facebook
mendeley

Bibtex

Ris

組立作業のための平行スティック指汎用ハンドによる三次元形状部品の把持の最適化

土橋 宏規, 神岡 渉, 深尾 隆則, 横小路 泰義, 野田 哲男, 長野 陽, 永谷 達也

pp. 258-266

DOI:

10.5687/iscie.28.258

抄録

In a robotic cell, assembly robots have to grasp parts in various shapes of a target product accurately and robustly against some external wrenches (i.e., forces and moments) exerted on the parts in order to ensure assembly tasks. Assuming the use of a universal robotic hand with multiple fingers for this purpose, it is desirable that necessary finger forces are as small as possible. From this point of view, in this paper, we consider grasping of three-dimensional parts by a universal robotic hand with parallel stick fingers, and propose a method to optimize the grasping under a given required external wrench set. The utility of the proposed method is shown with numerical examples.

mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

組立作業のための平行スティック指汎用ハンドによる三次元形状部品の把持の最適化

twitter
facebook
mendeley

Bibtex

Ris

単腕ロボットによる巻き込み防止器具を用いた矩形布生地の展開

弓場 寛之, 山崎 公俊

pp. 267-274

DOI:

10.5687/iscie.28.267

抄録

This paper describes a method of unfolding an item of clothes by a single arm robot. The unfolding motion is assumed to use a corner of a table so that a crumpled cloth is unfolded by pulled up while making contacts with the corner. Using this approach, two problems arose; entrainment problem and outward warp problem. To solve the former, we proposed an instrument to prevent entrainment. To solve the latter, we built an algorithm that recognizes a warping form of clothes by SVM. Using four kinds of clothes, we confirmed the effectiveness of the proposed method by using a real single arm robot. Our experiment resulted at a success rate from 65 percent to 85 percent.

mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

単腕ロボットによる巻き込み防止器具を用いた矩形布生地の展開

twitter
facebook
mendeley

Bibtex

Ris

転移学習における価値に基づく知識の選別

小谷 直樹

pp. 275-283

DOI:

10.5687/iscie.28.275

抄録

This paper is aimed at reducing the amount of knowledge to avoid lower learning performance of an agent in transfer learning. In transfer or multitask reinforcement learning problems, the agent reuses policies which were learned in past tasks in order to efficiently solve unknown tasks. Therefore,the agent has a large number of state-action pairs as knowledge. But, at the same time, it causes both explosively increasing the amount of knowledge and decreasing the learning speed. This paper proposes a method for reducing the amount of knowledge on the basis of value. The effectiveness of the proposed method was verified with the simulation of the reaching problem for a multi-link robot arm. The proposed method achieves a reduction of the amount of knowledge and learning time. It also improves learning performance of the agent.

mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

転移学習における価値に基づく知識の選別

twitter
facebook
mendeley

Bibtex

Ris

変位出力を用いたプロパーなコントローラによる柔軟宇宙構造物のロバスト安定化

小林 洋二, 井本 廉

pp. 284-286

DOI:

10.5687/iscie.28.284
mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

変位出力を用いたプロパーなコントローラによる柔軟宇宙構造物のロバスト安定化

twitter
facebook
mendeley

Bibtex

Ris

紅茶課題によるKinectを用いた高齢者の動作能力スクリーニングに向けた予備的研究

石田 敦子, 小山 真紀, 岡橋 さやか, 高橋 央明, 林 美伶, 小川 真寛, 二木 淑子

pp. 287-289

DOI:

10.5687/iscie.28.287
mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

紅茶課題によるKinectを用いた高齢者の動作能力スクリーニングに向けた予備的研究

twitter
facebook
mendeley

Bibtex

Ris

論文アクセスランキング

21 Nov. (Last 30 Days)

この機能はログイン後に利用できます。
下のボタンをクリックしてください。

詳細検索

論文タイトル

著者

抄録

ジャーナル名

年

出版日を西暦で入力してください（4桁の数字）。

検索したいキーワードを入力して下さい