Improving the Image Accuracy for Grasping

Article Preview

Abstract:

The paper concerns with a method based on Microsoft Visual Studio for processing the image received from the vision camera working on the gripper of the librarian robot. Based on the information converted from the accurate image, the gripper has to identify the book on the bookshelves. Moreover, the outer edges are the most important due to the working area required by the fingers. Meantime, the method should analyze the outer edge on the top too, so that the gripper should have enough room for working by pushing up the book. We have used the dynamic method for setting aside the computer memory. The image processing was focused on improving the contrast quality due to its importance for setting up the outer edges of the book, which should be retrieved.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

706-711

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] T. Tomizawa, A. Ohya, S. Yuta, Remote book browsing system using a mobile manipulator, in: IEEE International Conference on Robotics and Automation, Taipei, Taiwan, September 2003, pp.256-261.

DOI: 10.1109/robot.2003.1241605

Google Scholar

[2] J. Suthakom, S. Lee, Y. Zhou, S. Choudhury, G.S. Chirikjian, An enhanced robotic library system for an off-site shelving facility, in: Proceedings of the 2003 International Conference on Field and Service Robotics (FSR), Japan, (2003).

DOI: 10.1109/robot.2002.1014266

Google Scholar

[3] M. Prats, E. Martinez, P.J. Sanz, A.P. Pobil, The UJI librarian Robot, in: Intel Serv Robotics, Vol. 1, 2008, p.321 – 335.

DOI: 10.1007/s11370-008-0028-1

Google Scholar

[4] L. Egghe, A Model for Measuring the Congestion in library Shelves, in: Scientometrics, Vol. 46, Nr. 3, 1999, pp.417-430.

DOI: 10.1007/bf02459601

Google Scholar

[5] J. W. Choi, D. I. Oh, Tag-Only Aging-counter Localization for the R-LIM2 System, in: Inf Syst Front, Vol. 13, 2011, p.127 – 137.

DOI: 10.1007/s10796-009-9161-4

Google Scholar

[6] R. Salomon, Evolving Receptive-Field Controllers for Mobile Robots, in: Applied Inteligence, Vol. 17, 2002, pp.89-100.

Google Scholar

[7] F. W. Zhu, Z. B. Gong, Vision-Based Action Control System of a Multi-Finger Mechanical Gripper, in: Journal of Shanghai University, Vol. 7, 2003, p.414 – 417.

DOI: 10.1007/s11741-003-0021-z

Google Scholar

[8] M. Ceccarelli, Problems and Issues for Service Robots in New Applications, International Journal of Robots Society, Vol. 3, 2011, p.299 – 312.

Google Scholar

[9] J. Zhang, D. Xu, Z. T. Zhang, W. S. Zhang, Position/Force Hybrid Control System for High Precision Aligning of Small Gripper to Ring Object, in: International Journal of Automation and Computing, Vol. 10 (4), August 2013, p.360 – 367.

DOI: 10.1007/s11633-013-0732-y

Google Scholar

[10] A. Wolf, R. Steinmann, H. Schunk, Grippers in Motion, The Fascination of Automated Handling Tasks, Springer – Verlag Berlin Heidelberg ed., 2005, ISBN 3-540-25657-1.

DOI: 10.3139/9781569907153.fm

Google Scholar

[11] Y. Qiu, S. Chen, Y. Zhou, X. Liu, Stereoscopic Images Enhancement Based on Edge Sharpening of Wavelet Coefficients, in Applied Mechanics and Materials, Vol. 511 – 512, 2014, pp.490-494.

DOI: 10.4028/www.scientific.net/amm.511-512.490

Google Scholar

[12] A.R. Spanu, D. Besnea, O. Dontu, M. Avram, Improvements on Positional Accuracy by Using Mechatronic Device, in: Applied Mechanics and Materials, Vol. 332, 2013, p.206 – 211.

DOI: 10.4028/www.scientific.net/amm.332.206

Google Scholar