Reverse and forward post processors for a robot machining system

Fusaomi Nagata, Yudai Okada, Takamasa Kusano, Keigo Watanabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 10th International Conference, ICIRA 2017, Proceedings
PublisherSpringer Verlag
Pages70-78
Number of pages9
ISBN (Print)9783319652917
DOIs
Publication statusPublished - Jan 1 2017
Event10th International Conference on Intelligent Robotics and Applications, ICIRA 2017 - Wuhan, China
Duration: Aug 16 2017Aug 18 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10463 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th International Conference on Intelligent Robotics and Applications, ICIRA 2017
CountryChina
CityWuhan
Period8/16/178/18/17

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Keywords

  • CAD/CAM
  • CLS data
  • FANUC LS data
  • Forward post processor
  • Industrial robot
  • NC data
  • Reverse post processor

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Nagata, F., Okada, Y., Kusano, T., & Watanabe, K. (2017). Reverse and forward post processors for a robot machining system. In Intelligent Robotics and Applications - 10th International Conference, ICIRA 2017, Proceedings (pp. 70-78). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10463 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-65292-4_7