Based on the Photoelectric Orientation System of the Robot in the Application of Production Line

Li Ye; Bin Luo; Jian Hua Yang

doi:10.4028/www.scientific.net/AMM.778.235

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 778Based on the Photoelectric Orientation System of...

Based on the Photoelectric Orientation System of the Robot in the Application of Production Line

Abstract:

This paper use the laser sensor to primary mapping the position of the artifacts. Then manipulator carry through accurately positioning on the artifacts by machine vision. Then the manipulator accurately capture the artifact by adjust error automatically. By using laser sensor and machine vision, the robot on industrial production line can more accurately positioning fetching artifacts and the requirements of industrial production line for precise localization of robot.

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Periodical:

Applied Mechanics and Materials (Volume 778)

Pages:

235-239

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.778.235

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Online since:

July 2015

Authors:

Li Ye, Bin Luo*, Jian Hua Yang

Keywords:

Laser Sensor, Machine Vision, Manipulator

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References

[1] Gallardo Alvarado J, Rodriguez Castro R, Aguilar Najera C R: etal. A novel six degrees of freedom series-parallel manipulator[J]. Mechanical Science and Technology, 2012, 26(6): 1901-(1909).

DOI: 10.1007/s12206-012-0408-5

Google Scholar

[2] Vakil M, Pendar H, Zohoor H. On the kinematic analysis of a spatial six-degree-of-freedom parallel manipulator[J]. Scientia Iranica, 2009, 16 (1): 1-14.

Google Scholar

[3] M. Eriksson and N. Papanikotopoulos. Eye tracking for detection of driver fatigue. In IEEE Conference on Intelligent Transportation Systems, Pages 314-319, (1997).

DOI: 10.1109/itsc.1997.660494

Google Scholar

[4] Singh N. Delwiche M. Machine Vision Methods for Defect Sorting Stomefruit[J]. Trans of Asae, 1994, 37(6): 1989-(1997).

DOI: 10.13031/2013.28292

Google Scholar

[5] Mezouar Y, Chaumette F. Path planning for robust image-based control [J]. IEEE Trans on Robotics and Automation, 2002, 18(4): 534-539.

DOI: 10.1109/tra.2002.802218

Google Scholar

[6] John J. Craig. Introduction to Robotics Mechanics and Control[M]. science press. (2003).

Google Scholar

[7] Zhengyou Zhang, Iterative point matching for registration of free-form curves and surfaces, International Journal of Computer Vision, 1994, 13(2): 119-152P.

DOI: 10.1007/bf01427149

Google Scholar