Automatic rubber attachment by a robot arm for cardboard punching mold fabrication

Yuta Ito, Takashi Yoshimi

研究成果: Conference contribution

抜粋

In this study, automation of rubber attachment task by a robot arm in cardboard punching mold fabrication factory is considered. This task is required to pick up a small rubber part and put it beside the blade accurately by the robot arm. We considered how to pick up the small rubber part, how to remove it from the mount, and how to put it beside the blade. About small rubber part picking, we used a suction hand with two suckers are used. About the part removing from the mount, we weakened the adhesive force by reducing the adhesion area of the bottom of the rubber. About the part putting beside the blade, we made a rubber part attachment sequence which first the rubber part is pressed against the blade, then pressed to the wooden board, prepared a guide table for accurate rubber parts positioning, and suitable conditions for the certain part attachment. The effectiveness of the proposed system, method and conditions is confirmed through experiments, and we found that the robot arm can execute this task with the almost same quality to the human worker.

元の言語English
ホスト出版物のタイトルInternational Conference on Control, Automation and Systems
出版者IEEE Computer Society
ページ505-507
ページ数3
2018-October
ISBN(電子版)9788993215151
出版物ステータスPublished - 2018 12 10
イベント18th International Conference on Control, Automation and Systems, ICCAS 2018 - PyeongChang, Korea, Republic of
継続期間: 2018 10 172018 10 20

Other

Other18th International Conference on Control, Automation and Systems, ICCAS 2018
Korea, Republic of
PyeongChang
期間18/10/1718/10/20

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • これを引用

    Ito, Y., & Yoshimi, T. (2018). Automatic rubber attachment by a robot arm for cardboard punching mold fabrication. : International Conference on Control, Automation and Systems (巻 2018-October, pp. 505-507). [8571624] IEEE Computer Society.