Objects Centroid Correlation Using MATLAB's Neural Network Toolbox for Visually-Guided Object Manipulation

Sujin Wanchat; Supattra Plermkamon; Danaipong Chetchotsak

doi:10.4028/www.scientific.net/AMR.931-932.1417

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 931-932Objects Centroid Correlation Using MATLAB's Neural...

Objects Centroid Correlation Using MATLAB's Neural Network Toolbox for Visually-Guided Object Manipulation

Abstract:

Since a pick-and-place task plays an important role in an automatic process, it normally requires machine vision to locate an object for grasping. This paper presents a practicable method used to visually guide an object grasping a group of small, 1.1 mm diameter, screws by using an inexpensive webcam with a resolution of 640 x 480. A basic feedforward neural network is utilized to make a fitting function which associates pixel coordinates of the camera to the physical coordinates of the robot while the method of linear least squares is used for comparison in parallel. The result from the feedforward neural network shows that fifty screws can be completely manipulated from a tray after their physical coordinates are loaded into the robot while the result from the method of linear least squares shows failure when picking two of the samples.

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Periodical:

Advanced Materials Research (Volumes 931-932)

Pages:

1417-1421

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.931-932.1417

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Cite this paper

Online since:

May 2014

Authors:

Sujin Wanchat*, Supattra Plermkamon, Danaipong Chetchotsak

Keywords:

Feedforward Neural Network, Linear Least Squares, Moments Invariant, Monocular Machine Vision, Neural Network Toolbox, Object Manipulation

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* - Corresponding Author

References

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