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JCR Impact Factor: 0.529
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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: 644266260
doi: 10.4316/AECE


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Instruction-level Real-time Secure Processor Using an Error Correction Code, YOON, S. M., LEE, S. W., PARK, J. K., KIM, J. T.
Issue 3/2015

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2015-Jun-10
Thomson Reuters published the Journal Citations Report for 2014. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.529, and the JCR 5-Year Impact Factor is 0.476.

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  4/2010 - 10

Development of IR-Based Short-Range Communication Techniques for Swarm Robot Applications

ARVIN, F. See more information about ARVIN, F. on SCOPUS See more information about ARVIN, F. on IEEExplore See more information about ARVIN, F. on Web of Science, SAMSUDIN, K. See more information about  SAMSUDIN, K. on SCOPUS See more information about  SAMSUDIN, K. on SCOPUS See more information about SAMSUDIN, K. on Web of Science, RAMLI, A. R. See more information about RAMLI, A. R. on SCOPUS See more information about RAMLI, A. R. on SCOPUS See more information about RAMLI, A. R. on Web of Science
 
Click to see author's profile on 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 (1,012 KB) | Citation | Downloads: 2,169 | Views: 3,971

Author keywords
swarm robotic, infrared, AMiR, modulation methods

References keywords
mobile(13), robots(12), autonomous(10), robotics(9), systems(8), robot(7), infrared(6), system(4), localization(4), communication(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-11-30
Volume 10, Issue 4, Year 2010, On page(s): 61 - 68
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.04010
Web of Science Accession Number: 000284782700010
SCOPUS ID: 78649716209

Abstract
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Full text preview
This paper proposes several designs for a reliable infra-red based communication techniques for swarm robotic applications. The communication system was deployed on an autonomous miniature mobile robot (AMiR), a swarm robotic platform developed earlier. In swarm applications, all participating robots must be able to communicate and share data. Hence a suitable communication medium and a reliable technique are required. This work uses infrared radiation for transmission of swarm robots messages. Infrared transmission methods such as amplitude and frequency modulations will be presented along with experimental results. Finally the effects of the modulation techniques and other parameters on collective behavior of swarm robots will be analyzed.


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

[1] M. Dorigo and E. Sahin, "Swarm robotics - special issue editorial," Autonomous Robots, vol. 17, pp. 111-113, 2004.
[CrossRef] [Web of Science Times Cited 64] [SCOPUS Times Cited 71]


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[CrossRef] [Web of Science Times Cited 290]


[4] J. J. Sung, G.S. Kang, and Suki Kim, "A CMOS Infrared Optical Signal Processor for Remote Control," AEU - International Journal of Electronics and Communications, vol. 57, pp. 277-282, 2003.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]


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[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 6]


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[7] F. Arvin, K. Samsudin, and A. R. Ramli, "A Short-Range Infrared Communication for Swarm Mobile Robots," Proc. International Conference on Signal Processing System, pp. 454-458, Singapore, May 2009.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 10]


[8] E. A. Thompson, E. Harmison, R. Carper, R. Martin, and J. Isaacs, "Robot teleoperation featuring commercially available wireless network cards," Journal of Network and Computer Applications, vol. 29, pp. 11-24, 2006.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 10]


[9] F. Caballero, L. Merino, P. Gil, I. Maza, and A. Ollero, "A probabilistic framework for entire WSN localization using a mobile robot," Robotics and Autonomous Systems, vol. 56, pp. 798-806, 2008.
[CrossRef] [Web of Science Times Cited 27] [SCOPUS Times Cited 46]


[10] R. G. Shepherd and S. P. Mansoor, "Bluetooth Based Proximity Sensing for Reactive Mobile Robots," Proc. IEEE Region 10, TENCON, pp. 1-6, Melbourne, 2005.
[CrossRef] [SCOPUS Record]


[11] N. Harper and P. McKerrow, "Recognising plants with ultrasonic sensing for mobile robot navigation," Robotics and Autonomous Systems, vol. 34, pp. 71-82, 2001.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 13]


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[CrossRef] [SCOPUS Times Cited 6]


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[CrossRef] [SCOPUS Times Cited 7]


[14] S. Se, D. G. Lowe, and J. J. Little, "Vision-based global localization and mapping for mobile robots," IEEE Transactions on Robotics, vol. 21, pp. 364-375, 2005.
[CrossRef] [Web of Science Times Cited 175] [SCOPUS Times Cited 291]


[15] G. Adorni, S. Cagnoni, S. Enderle, G. K. Kraetzschmar, M. Mordonini, M. Plagge, M. Ritter, S. Sablatnog, and A. Zell, "Vision-based localization for mobile robots," Robotics and Autonomous Systems, vol. 36, pp. 103-119, 2001.
[CrossRef] [Web of Science Times Cited 20] [SCOPUS Times Cited 37]


[16] J. Gonzalez, J. L. Blanco, C. Galindo, A. O. Galisteo, J. A. Fernandez Madrigal, F. A. Moreno, J. L. Martinez, "Mobile robot localization based on Ultra-Wide-Band ranging: A particle filter approach," Robotics and Autonomous Systems, vol. 57, pp. 496-507, 2009.
[CrossRef] [Web of Science Times Cited 21] [SCOPUS Times Cited 37]


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[CrossRef]


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[CrossRef] [SCOPUS Times Cited 3]


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[CrossRef] [Web of Science Times Cited 56] [SCOPUS Times Cited 81]


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[22] S. Suzuki, H. Asema, A. Ueqaki, S. Kotosaka, T. Fujita, A. Matsumoto, I. Endo, "An infra-red sensory system with local communication forcooperative multiple mobile robots," Proc. IEEE/RSJ International Conference on Intelligent Robots and System, pp. 220-225, Pittsburgh, 1995.
[CrossRef]




References Weight

Web of Science® Citations for all references: 703 TCR
SCOPUS® Citations for all references: 647 TCR

Web of Science® Average Citations per reference: 31 ACR
SCOPUS® Average Citations per reference: 28 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 2015-08-28 18:10 in 103 seconds.




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


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