Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)

Kinematic Errors Identification and Compensation Method Analysis of the Machining Robots

Authors
Ya Zhang
Corresponding Author
Ya Zhang
Available Online December 2018.
DOI
10.2991/meici-18.2018.193How to use a DOI?
Keywords
Kinematic Errors; Machining Robots; Identification; Compensation
Abstract

Industrial robots were widely used in the area of stacking, handling, welding because of their good repeatability position accuracy. When the industrial robot is applied in the manufacturing area, they can do cutting work instead of the machine tool. However, the error of the machining robot is comparatively large in cutting process, the error measurement and identification process is complicated, and the error compensation is difficult. The identification and compensation method of the machining errors of machining robot are analyzed in this paper. This analysis can support a foundation and reference for improving the kinematic errors identification and compensation method of the machining robot.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)
Series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-640-2
ISSN
1951-6851
DOI
10.2991/meici-18.2018.193How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ya Zhang
PY  - 2018/12
DA  - 2018/12
TI  - Kinematic Errors Identification and Compensation Method Analysis of the Machining Robots
BT  - Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)
PB  - Atlantis Press
SP  - 963
EP  - 965
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-18.2018.193
DO  - 10.2991/meici-18.2018.193
ID  - Zhang2018/12
ER  -