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Reverse and Forward Post Processors for a Robot Machining System

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Intelligent Robotics and Applications (ICIRA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10463))

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Abstract

This paper presents methods that can be widely and easily applied to data transformation process of machining robots. A reverse post processor is first introduced to regenerate original CLS (Cutter Location Sourse) data from post-processed NC (Numerical Control) data including variable axes codes. Then, a promising forward post processor is proposed to produce FANUC robot programs called LS data from CLS data. The proposed reverse and forward post processors allow an industrial machining robot to work based on the NC data that have been used for, e.g., a five axis NC machine tool with a tilting head.

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Acknowledgments

This work was supported by JSPS KAKENHI Grant Number JP16K06203.

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Authors and Affiliations

  1. Tokyo University of Science, Yamaguchi, 1-1-1 Daigaku-Dori, Sanyo-Onoda, 756-0884, Japan

    Fusaomi Nagata & Yudai Okada

  2. SOLIC Co. Ltd., 80-42 Yotsuyama-Machi, Omuta, 836-0067, Japan

    Takamasa Kusano

  3. Okayama University, 3-1-1 Tsushima-naka, Kita-ku, Okayama, 700-8530, Japan

    Keigo Watanabe

Authors
  1. Fusaomi Nagata
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  2. Yudai Okada
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  3. Takamasa Kusano
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  4. Keigo Watanabe
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Corresponding author

Correspondence to Fusaomi Nagata .

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Editors and Affiliations

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    YongAn Huang

  2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Hao Wu

  3. Institute of Industrial Research, University of Portsmouth, Portsmouth, United Kingdom

    Honghai Liu

  4. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

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Nagata, F., Okada, Y., Kusano, T., Watanabe, K. (2017). Reverse and Forward Post Processors for a Robot Machining System. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10463. Springer, Cham. https://doi.org/10.1007/978-3-319-65292-4_7

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  • DOI: https://doi.org/10.1007/978-3-319-65292-4_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65291-7

  • Online ISBN: 978-3-319-65292-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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