The proposal of automatic task parameter setting system for polishing robot

Naoya Kurihara, Shota Yamazaki, Takashi Yoshimi, Takeyoshi Eguchi, Hiroki Murakami

研究成果: Conference contribution

抜粋

Recently, a lot of industrial robots are used in factories. But, in spite of spread of industrial robots, finishing robots like polishing robots are not widely used now. Because, to set parameters for pressing work piece to tool with appropriate force for force control robots are difficult. It is necessary to set various parameters according to process conditions. When the new polishing operation with different condition is executed, it is necessary to find and set new parameters. In this study, we aim to achieve the automatic task parameter setting system for polishing operation by robot arm. The task parameters of polishing operation which we selected are grain size of grindstone and the number of polishing times until final surface roughness. They are set based on the material of work piece and its required surface roughness accuracy. To realize the automatic task parameter setting system, we considered relation between each parameter and final surface roughness.

元の言語English
ホスト出版物のタイトル2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015
出版者Institute of Electrical and Electronics Engineers Inc.
ページ479-481
ページ数3
ISBN(印刷物)9781467379700
DOI
出版物ステータスPublished - 2015 12 16
イベント12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015 - Goyang City, Korea, Republic of
継続期間: 2015 10 282015 10 30

Other

Other12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015
Korea, Republic of
Goyang City
期間15/10/2815/10/30

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

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  • これを引用

    Kurihara, N., Yamazaki, S., Yoshimi, T., Eguchi, T., & Murakami, H. (2015). The proposal of automatic task parameter setting system for polishing robot. : 2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015 (pp. 479-481). [7358808] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/URAI.2015.7358808