Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)

Current Patent Trends Analysis and Research for Intelligent Industrial Robots Industry ——based on deburring robot

Authors
Shunjun Zhu, Jinsong Chen, Jing Li, Xuexi Zhang, Zhiwen Huang
Corresponding Author
Shunjun Zhu
Available Online April 2017.
DOI
10.2991/icmse-17.2017.85How to use a DOI?
Keywords
Deburring robot, technical status quo, patent analysis.
Abstract

More than 50% of intelligent industrial robots used in the automotive field, and the deburring process is an important part of manufacturing technology. Using the patentometrics method for global deburring robot industry related technical patent statistics, makes patent trend analysis and interpretation coverd the following areas trends of the application, distribution of priority countries, main applicants, technical topics, IPC distribution. The aim of this paper is provide reference for domestic deburring robot industry related enterprise innovation.

Copyright
© 2017, 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 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-327-2
ISSN
2352-5401
DOI
10.2991/icmse-17.2017.85How to use a DOI?
Copyright
© 2017, 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  - Shunjun Zhu
AU  - Jinsong Chen
AU  - Jing Li
AU  - Xuexi Zhang
AU  - Zhiwen Huang
PY  - 2017/04
DA  - 2017/04
TI  - Current Patent Trends Analysis and Research for Intelligent Industrial Robots Industry ——based on deburring robot
BT  - Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)
PB  - Atlantis Press
SP  - 451
EP  - 457
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-17.2017.85
DO  - 10.2991/icmse-17.2017.85
ID  - Zhu2017/04
ER  -