Volume 7, Issue 1, February 2019, Page: 18-24
Visual Positioning and Grasping Application of Industrial Robot for Casting Parts
Guoyang Wan, Department of Electronic Engineering School of Automation and In
Fudong Li, Department of Information Engineering, Yangzhou University, Yang
Guofeng Wang, Department of Electronic Engineering School of Automation and In
Received: Mar. 13, 2019;       Published: May 23, 2019
DOI: 10.11648/j.acis.20190701.13      View  189      Downloads  20
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.
Keywords
Industrial Robot, Hand Eye Calibration, Template Matching, Machine Vision
To cite this article
Guoyang Wan, Fudong Li, Guofeng Wang, Visual Positioning and Grasping Application of Industrial Robot for Casting Parts, Automation, Control and Intelligent Systems. Vol. 7, No. 1, 2019, pp. 18-24. doi: 10.11648/j.acis.20190701.13
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