Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)

The System Design of Vision-Based Intelligent Robots

Authors
Yuanqin Zhang, Xiangjun Zou, Shaofeng Luo, Lufeng Luo, Weiming Situ
Corresponding Author
Yuanqin Zhang
Available Online March 2017.
DOI
10.2991/msam-17.2017.53How to use a DOI?
Keywords
visual system; robot; wood; location; stacking
Abstract

Equipping with a vision system for robot is an important tendency for the development of intelligent robots. To explore the applications problems of visual robot in wood processing, we have designed vision-based wood stacking robot system, the system has combined visual system and industrial robots, using vision to recognize and locate targets, and then robots can achieve wood stacking tasks automatically. In experiment, we've built a visual platform and simulated wood processing workspace, then the system uses robot to complete wood identification, classification and stacking work. The experiment shows that the visual system can drive robot to complete the work stably and accurately.

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 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
Series
Advances in Intelligent Systems Research
Publication Date
March 2017
ISBN
978-94-6252-324-1
ISSN
1951-6851
DOI
10.2991/msam-17.2017.53How 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  - Yuanqin Zhang
AU  - Xiangjun Zou
AU  - Shaofeng Luo
AU  - Lufeng Luo
AU  - Weiming Situ
PY  - 2017/03
DA  - 2017/03
TI  - The System Design of Vision-Based Intelligent Robots
BT  - Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
PB  - Atlantis Press
SP  - 239
EP  - 242
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-17.2017.53
DO  - 10.2991/msam-17.2017.53
ID  - Zhang2017/03
ER  -