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JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: Aug 2018
Next issue: Nov 2018
Avg review time: 82 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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LATEST NEWS

2018-Jun-27
Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

Read More »


    
 

  2/2015 - 9

Robotic Arm Control Algorithm Based on Stereo Vision Using RoboRealm Vision

SZABO, R. See more information about SZABO, R. on SCOPUS See more information about SZABO, R. on IEEExplore See more information about SZABO, R. on Web of Science, GONTEAN, A. See more information about GONTEAN, A. on SCOPUS See more information about GONTEAN, A. on SCOPUS See more information about GONTEAN, A. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,193 KB) | Citation | Downloads: 425 | Views: 1,950

Author keywords
decision making, image color analysis, machine vision, manipulators, stereo vision, video equipment

References keywords
robotic(21), vision(13), control(7), systems(6), visual(4), szab(4), system(4), stereo(4), space(4), robotics(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-05-31
Volume 15, Issue 2, Year 2015, On page(s): 65 - 74
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.02009
Web of Science Accession Number: 000356808900009
SCOPUS ID: 84979819292

Abstract
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The goal of this paper is to present a stereo computer vision algorithm intended to control a robotic arm. Specific points on the robot joints are marked and recognized in the software. Using a dedicated set of mathematic equations, the movement of the robot is continuously computed and monitored with webcams. Positioning error is finally analyzed.


References | Cited By  «-- Click to see who has cited this paper

[1] W. G. Hao, Y. Y. Leck, L. C. Hun, "6-DOF PC-Based Robotic Arm (PC-ROBOARM) with efficient trajectory planning and speed control," 4th International Conference On Mechatronics, Kuala Lumpur, pp. 1-7, 2011.
[CrossRef]


[2] W. Yang, J. H. Bae, Y. Oh, N. Y. Chong, B. J. You, S. R. Oh, "CPG based self-adapting multi-DOF robotic arm control," International Conference on Intelligent Robots and Systems, Taipei, pp. 4236-4243, 2010.
[CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 28]


[3] E. Oyama, T. Maeda, J. Q. Gan, E. M. Rosales, K. F. MacDorman, S. Tachi, A. Agah, "Inverse kinematics learning for robotic arms with fewer degrees of freedom by modular neural network systems," International Conference on Intelligent Robots and Systems, pp. 1791-1798, 2005.
[CrossRef] [SCOPUS Times Cited 34]


[4] N. Ahuja, U. S. Banerjee, V. A. Darbhe, T. N. Mapara, A. D. Matkar, R.K. Nirmal, S. Balagopalan, "Computer controlled robotic arm," 16th IEEE Symposium on Computer-Based Medical Systems, New York, pp. 361-366, 2003.
[CrossRef]


[5] M. H. Liyanage, N. Krouglicof, R. Gosine, "Design and control of a high performance SCARA type robotic arm with rotary hydraulic actuators," Canadian Conference on Electrical and Computer Engineering, St. John's, CA, pp. 827-832, 2009.
[CrossRef] [SCOPUS Times Cited 25]


[6] M. Mariappan, T. Ganesan, M. Iftikhar, V. Ramu, B. Khoo, "A design methodology of a flexible robotic arm vision system for OTOROB," International Conference on Mechanical and Electrical Technology, Singapore, pp. 161-164, 2010.
[CrossRef] [SCOPUS Times Cited 15]


[7] H. Guo-Shing, C. Xi-Sheng, C. Chung-Liang, "Development of dual robotic arm system based on binocular vision," International Automatic Control Conference, Nantou, pp. 97-102, 2013.
[CrossRef] [SCOPUS Times Cited 13]


[8] R. Szabó, A. Gontean, "Controlling a Robotic Arm in the 3D Space with Stereo Vision," 21th Telecommunications Forum, Belgrade, pp. 916-919, 2013.
[CrossRef] [SCOPUS Times Cited 20]


[9] R. Szabó, A. Gontean, "Robotic arm control in 3D space using stereo distance calculation," International Conference on Development and Application Systems, Suceava, pp. 50-56, 2014.
[CrossRef] [SCOPUS Times Cited 12]


[10] R. Szabó, A. Gontean, "Remotely Commanding the Lynxmotion AL5 Type Robotic Arms," 21th Telecommunications Forum, Belgrade, pp. 889-892, 2013.
[CrossRef] [SCOPUS Times Cited 17]


[11] R. Szabó, A. Gontean, "Creating a Programming Language for the AL5 Type Robotic Arms," 36th International Conference on Telecommunications and Signal Processing, Rome, pp. 62-65, 2013.
[CrossRef] [SCOPUS Times Cited 20]


[12] M. Seelinger, E. Gonzalez-Galvan, M. Robinson, S. Skaar, "Towards a robotic plasma spraying operation using vision," IEEE Robotics & Automation Magazine, vol. 5, issue 4, pp. 33-38, 49, 1998.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 19]


[13] R. Kelly, R. Carelli, O. Nasisi, B. Kuchen, F. Reyes, "Stable visual servoing of camera-in-hand robotic systems," IEEE/ASME Transactions on Mechatronics, vol. 5, issue 1, pp. 39-48, 2000.
[CrossRef] [Web of Science Times Cited 151] [SCOPUS Times Cited 184]


[14] V. Lippiello, F. Ruggiero, B. Siciliano, L. Villani, "Visual Grasp Planning for Unknown Objects Using a Multifingered Robotic Hand", IEEE/ASME Transactions on Mechatronics, vol. 18, issue 3, pp. 1050-1059, 2013.
[CrossRef] [Web of Science Times Cited 48] [SCOPUS Times Cited 61]


[15] M. Kazemi, K. K. Gupta, M. Mehrandezh, "Randomized Kinodynamic Planning for Robust Visual Servoing", IEEE Transactions on Robotics, vol. 29, issue 5, pp. 1197-1211, 2013.
[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 29]


[16] R. T. Fomena, O. Tahri, F. Chaumette, "Distance-Based and Orientation-Based Visual Servoing From Three Points", IEEE Transactions on Robotics, vol. 27, issue 2, pp. 256-267, 2011.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 40]


[17] N. C. Orger, T. B. Karyot, "A symmetrical robotic arm design approach with stereo-vision ability for CubeSats," 6th International Conference on Recent Advances in Space Technologies, Istanbul, pp. 961-965, 2013.
[CrossRef] [SCOPUS Times Cited 14]


[18] F. Medina, B. Nono, H. Banda, A. Rosales, "Classification of Solid Objects with Defined Shapes Using Stereoscopic Vision and a Robotic Arm," Andean Region International Conference, Cuenca, pp. 226, 2012.
[CrossRef]


[19] M. Puheim, M. Bundzel, L. Madarasz, "Forward control of robotic arm using the information from stereo-vision tracking system," 14th International Symposium on Computational Intelligence and Informatics, Budapest, pp. 57-62, 2013.
[CrossRef] [SCOPUS Times Cited 10]


[20] T. P. Cabre, M. T. Cairol, D. F. Calafell, M. T. Ribes, J. P. Roca, "Project-Based Learning Example: Controlling an Educational Robotic Arm With Computer Vision," IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, vol. 8, issue 3, pp. 135-142, 2013.
[CrossRef] [SCOPUS Times Cited 15]


[21] G. S. Gupta, S. C. Mukhopadhyay, M. Finnie, "WiFi-based control of a robotic arm with remote vision," Instrumentation and Measurement Technology Conference, Singapore, pp. 557-562, 2009.
[CrossRef] [SCOPUS Times Cited 23]


[22] L. Haoting, W. Wei, G. Feng, L. Zhaoyang, S. Yuan, L. Zhenlin, "Development of Space Photographic Robotic Arm based on binocular vision servo," Sixth International Conference on Advanced Computational Intelligence, Hangzhou, pp. 345-349, 2013.
[CrossRef] [SCOPUS Times Cited 7]


[23] C. Wen-Chung, C. Chih-Wei, "Automatic Mobile Robotic Manipulation with Active Eye-to-Hand Binocular Vision," 33rd Annual Conference of the IEEE Industrial Electronics Society, Taipei, pp. 2944-2949, 2007.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 6]


[24] P. C. Nunnally, J. M. Weiss, "An inexpensive robot arm for computer vision applications," Energy and Information Technologies in the Southeast, Columbia, vol. 1, pp. 1-6, 1989.
[CrossRef]


[25] T. Kizaki, A. Namiki, "Two ball juggling with high-speed hand-arm and high-speed vision system," IEEE International Conference on Robotics and Automation, Saint Paul, MN, pp. 1372-1377, 2012.
[CrossRef] [SCOPUS Times Cited 23]




References Weight

Web of Science® Citations for all references: 302 TCR
SCOPUS® Citations for all references: 615 TCR

Web of Science® Average Citations per reference: 12 ACR
SCOPUS® Average Citations per reference: 24 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2018-10-17 14:25 in 186 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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