In order to guide an industrial robot to pick a rough casting object, a visual servoing system have been designed to perform the task. This solution present an efficient method to perform robot and vision system’s hand eye calibration. Shape matching method is used to find a rough casting object, by combining Line2d algorithm and ROI selection. This vision system can find rough objects with high computational speed and it is robust to environmental noise. The experiment shows that the system repeatability is within 2mm and verify the feasibility of the method and robustness of the algorithm.
| Published in | Automation, Control and Intelligent Systems (Volume 7, Issue 1) |
| DOI | 10.11648/j.acis.20190701.13 |
| Page(s) | 18-24 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2019. Published by Science Publishing Group |
Industrial Robot, Hand Eye Calibration, Template Matching, Machine Vision
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APA Style
Guoyang Wan, Fudong Li, Guofeng Wang. (2019). Visual Positioning and Grasping Application of Industrial Robot for Casting Parts. Automation, Control and Intelligent Systems, 7(1), 18-24. https://doi.org/10.11648/j.acis.20190701.13
ACS Style
Guoyang Wan; Fudong Li; Guofeng Wang. Visual Positioning and Grasping Application of Industrial Robot for Casting Parts. Autom. Control Intell. Syst. 2019, 7(1), 18-24. doi: 10.11648/j.acis.20190701.13
AMA Style
Guoyang Wan, Fudong Li, Guofeng Wang. Visual Positioning and Grasping Application of Industrial Robot for Casting Parts. Autom Control Intell Syst. 2019;7(1):18-24. doi: 10.11648/j.acis.20190701.13
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Download@article{10.11648/j.acis.20190701.13,
author = {Guoyang Wan and Fudong Li and Guofeng Wang},
title = {Visual Positioning and Grasping Application of Industrial Robot for Casting Parts},
journal = {Automation, Control and Intelligent Systems},
volume = {7},
number = {1},
pages = {18-24},
doi = {10.11648/j.acis.20190701.13},
url = {https://doi.org/10.11648/j.acis.20190701.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20190701.13},
abstract = {In order to guide an industrial robot to pick a rough casting object, a visual servoing system have been designed to perform the task. This solution present an efficient method to perform robot and vision system’s hand eye calibration. Shape matching method is used to find a rough casting object, by combining Line2d algorithm and ROI selection. This vision system can find rough objects with high computational speed and it is robust to environmental noise. The experiment shows that the system repeatability is within 2mm and verify the feasibility of the method and robustness of the algorithm.},
year = {2019}
}
TY - JOUR T1 - Visual Positioning and Grasping Application of Industrial Robot for Casting Parts AU - Guoyang Wan AU - Fudong Li AU - Guofeng Wang Y1 - 2019/05/23 PY - 2019 N1 - https://doi.org/10.11648/j.acis.20190701.13 DO - 10.11648/j.acis.20190701.13 T2 - Automation, Control and Intelligent Systems JF - Automation, Control and Intelligent Systems JO - Automation, Control and Intelligent Systems SP - 18 EP - 24 PB - Science Publishing Group SN - 2328-5591 UR - https://doi.org/10.11648/j.acis.20190701.13 AB - In order to guide an industrial robot to pick a rough casting object, a visual servoing system have been designed to perform the task. This solution present an efficient method to perform robot and vision system’s hand eye calibration. Shape matching method is used to find a rough casting object, by combining Line2d algorithm and ROI selection. This vision system can find rough objects with high computational speed and it is robust to environmental noise. The experiment shows that the system repeatability is within 2mm and verify the feasibility of the method and robustness of the algorithm. VL - 7 IS - 1 ER -
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