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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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  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
 
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Download PDF pdficon (1,012 KB) | Citation | Downloads: 2,209 | Views: 4,464

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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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

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[CrossRef] [Web of Science Times Cited 67] [SCOPUS Times Cited 77]


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[CrossRef] [Web of Science Times Cited 305]


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[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]


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[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 11]


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[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 11]


[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 30] [SCOPUS Times Cited 51]


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[CrossRef] [SCOPUS Record]


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[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 16]


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[CrossRef] [SCOPUS Times Cited 6]


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[CrossRef] [SCOPUS Times Cited 8]


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[CrossRef] [Web of Science Times Cited 182] [SCOPUS Times Cited 307]


[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 22] [SCOPUS Times Cited 39]


[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 26] [SCOPUS Times Cited 43]


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[CrossRef]


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[CrossRef] [SCOPUS Times Cited 3]


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[CrossRef] [Web of Science Times Cited 62] [SCOPUS Times Cited 96]


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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: 746 TCR
SCOPUS® Citations for all references: 704 TCR

Web of Science® Average Citations per reference: 32 ACR
SCOPUS® Average Citations per reference: 31 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 2016-05-25 15:45 in 107 seconds.




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


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