Development of post-processor approach for an industrial robot FANUC R2000iC

Fusaomi Nagata; Yusaku Yamane; Yudai Okada; Takamasa Kusano; Keigo Watanabe; Maki K. Habib

doi:10.1007/s10015-017-0411-0

Development of post-processor approach for an industrial robot FANUC R2000iC

Fusaomi Nagata, Yusaku Yamane, Yudai Okada, Takamasa Kusano, Keigo Watanabe, Maki K. Habib

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

In this paper, a post-processor for the industrial robot FANUC R2000iC is introduced. Without going through the conventional teaching process, the post-processor regularly generates a rigorous robotic program from cutter location source data called CLS data. The CLS data are easily made through the main process of CAD/CAM, so that a promising data interface is realized between the industrial robot and CAD/CAM. The effectiveness is evaluated through simulations of trajectory following and also through an actual machining experiment of foamed polystyrene with a complex shape.

Original language	English
Pages (from-to)	186-191
Number of pages	6
Journal	Artificial Life and Robotics
Volume	23
Issue number	2
DOIs	https://doi.org/10.1007/s10015-017-0411-0
Publication status	Published - Jun 1 2018

Keywords

CLS data
Industrial robot
LS data
Machining robot
Post-processor

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Artificial Intelligence

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10.1007/s10015-017-0411-0

Cite this

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title = "Development of post-processor approach for an industrial robot FANUC R2000iC",

abstract = "In this paper, a post-processor for the industrial robot FANUC R2000iC is introduced. Without going through the conventional teaching process, the post-processor regularly generates a rigorous robotic program from cutter location source data called CLS data. The CLS data are easily made through the main process of CAD/CAM, so that a promising data interface is realized between the industrial robot and CAD/CAM. The effectiveness is evaluated through simulations of trajectory following and also through an actual machining experiment of foamed polystyrene with a complex shape.",

keywords = "CLS data, Industrial robot, LS data, Machining robot, Post-processor",

author = "Fusaomi Nagata and Yusaku Yamane and Yudai Okada and Takamasa Kusano and Keigo Watanabe and Habib, {Maki K.}",

note = "Funding Information: Acknowledgements This work was supported by JSPS KAKENHI Grant Number JP16K06203. Publisher Copyright: {\textcopyright} 2017, ISAROB.",

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doi = "10.1007/s10015-017-0411-0",

language = "English",

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AU - Nagata, Fusaomi

AU - Yamane, Yusaku

AU - Okada, Yudai

AU - Kusano, Takamasa

AU - Watanabe, Keigo

AU - Habib, Maki K.

PY - 2018/6/1

Y1 - 2018/6/1

N2 - In this paper, a post-processor for the industrial robot FANUC R2000iC is introduced. Without going through the conventional teaching process, the post-processor regularly generates a rigorous robotic program from cutter location source data called CLS data. The CLS data are easily made through the main process of CAD/CAM, so that a promising data interface is realized between the industrial robot and CAD/CAM. The effectiveness is evaluated through simulations of trajectory following and also through an actual machining experiment of foamed polystyrene with a complex shape.

AB - In this paper, a post-processor for the industrial robot FANUC R2000iC is introduced. Without going through the conventional teaching process, the post-processor regularly generates a rigorous robotic program from cutter location source data called CLS data. The CLS data are easily made through the main process of CAD/CAM, so that a promising data interface is realized between the industrial robot and CAD/CAM. The effectiveness is evaluated through simulations of trajectory following and also through an actual machining experiment of foamed polystyrene with a complex shape.

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KW - Industrial robot

KW - LS data

KW - Machining robot

KW - Post-processor

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Development of post-processor approach for an industrial robot FANUC R2000iC

Abstract

Keywords

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