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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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 HIGH-IMPACT PAPER 

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
 
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Download PDF pdficon (1,193 KB) | Citation | Downloads: 1,384 | Views: 4,289

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 33] [SCOPUS Times Cited 37]


[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 44]


[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 32]


[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 18]


[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 21]


[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 29]


[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 15]


[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 22]


[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 21]


[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 21] [SCOPUS Times Cited 23]


[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 175] [SCOPUS Times Cited 218]


[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 81] [SCOPUS Times Cited 103]


[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 58] [SCOPUS Times Cited 67]


[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 44] [SCOPUS Times Cited 55]


[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 21]


[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 16]


[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] [Web of Science Times Cited 20] [SCOPUS Times Cited 32]


[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 33]


[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 10]


[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 7] [SCOPUS Times Cited 8]


[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 41]




References Weight

Web of Science® Citations for all references: 439 TCR
SCOPUS® Citations for all references: 866 TCR

Web of Science® Average Citations per reference: 17 ACR
SCOPUS® Average Citations per reference: 33 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 2024-12-12 00:18 in 170 seconds.




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