Online from: 1973
Subject Area: Mechanical & Materials Engineering
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|Title:||Model analysis and experimental technique on computing accuracy of seam spatial position information based on stereo vision for welding robot|
|Author(s):||Xi-Zhang Chen, (School of Material Science and Engineering, Jiangsu University, Zhenjiang, China), Yu-Ming Huang, (School of Material Science and Engineering, Jiangsu University, Zhenjiang, China), Shan-ben Chen, (Institute of Welding Engineering, Shanghai Jiao Tong University, Shanghai, China)|
|Citation:||Xi-Zhang Chen, Yu-Ming Huang, Shan-ben Chen, (2012) "Model analysis and experimental technique on computing accuracy of seam spatial position information based on stereo vision for welding robot", Industrial Robot: An International Journal, Vol. 39 Iss: 4, pp.349 - 356|
|Keywords:||Accuracy analysis, Robots, Spatial/3D information, Stereo vision, Welding, Welding robot|
|Article type:||Research paper|
|DOI:||10.1108/01439911211227917 (Permanent URL)|
|Publisher:||Emerald Group Publishing Limited|
|Acknowledgements:||This work is partially supported by the China Postdoctoral Science Foundation (Grant no. 2011M501175), Postdoctoral Project of Jiangsu University no. 1143002045), Research Foundation for Talented Scholars of Jiangsu University (no. 07JDG085) and Innovative Research Team of Jiangsu University (no. JD000019).|
Purpose – Stereo vision technique simulates the function of the human eyes to observe the world, which can be used to compute the spatial information of weld seam in the robot welding field. It is a typical kind of application to fix two cameras on the end effector of robot when stereo vision is used in intelligent robot welding. In order to analyse the effect of vision system configuration on vision computing, an accuracy analysis model of vision computing is constructed, which is a good guide for the construction and application of stereo vision system in welding robot field.
Design/methodology/approach – A typical stereo vision system fixed on welding robot is designed and constructed to compute the position information of spatial seam. A simplified error analysis model of the two arbitrary putting cameras is built to analyze the effect of sensors' structural parameter on vision computing accuracy. The methodology of model analysis and experimental verification are used in the research. And experiments related with image extraction, robot movement accuracy is also designed to analyze the effect of equipment accuracy and related processed procedure in vision technology.
Findings – Effect of repeatability positioning accuracy and TCP calibration error of welding robot for visual computing are also analyzed and tested. The results show that effect of the repeatability on computing accuracy is not bigger than 0.3?mm. However, TCP affected the computing accuracy greatly, when the calibrated error of TCP is bigger than 0.5, the re-calibration is very necessary. The accuracy analysis and experimental technique in this paper can guide the research of three-dimensional information computing by stereo vision and improve the computed accuracy.
Originality/value – The accuracy of seam position information is affected by many interactional factors, the systematic experiments and a simplified error analysis model are designed and established, the main factors such as the sensor's configurable parameters, the accuracy of arc welding robot and the accuracy of image recognition, are included in the model and experiments. The model and experimental method are significant for design of visual sensor and improvement of computing accuracy.
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