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

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


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  4/2010 - 10

 HIGH-IMPACT PAPER 

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
 
View the paper record and citations in View the paper record and citations in Google Scholar
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Download PDF pdficon (1,033 KB) | Citation | Downloads: 2,652 | Views: 7,082

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 86] [SCOPUS Times Cited 107]


[2] J. Mbede, X. Huang, and M. Wang, "Fuzzy motion planning among dynamic obstacles using artificial potential fields for robot manipulators," Robotics and autonomous Systems, vol. 32, pp. 61-72, 2000.
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 43]


[3] Y. Cao, A. Fukunaga, and A. Kahng, "Cooperative mobile robotics: Antecedents and directions," Autonomous Robots, vol. 4, pp. 7-27, 1997.
[CrossRef] [Web of Science Times Cited 613] [SCOPUS Times Cited 886]


[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 2]


[5] T. Val, F. Peyrard, M. Misson, "Study and simulation of the infrared WLAN IrDA: an alternative to the radio," Computer Communications, vol. 26, pp. 1210-1218, 2003.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 8]


[6] F. Arvin, K. Samsudin, and A. R. Ramli, "Development of a Miniature Robot for Swarm Robotic Application," International Journal of Computer and Electrical Engineering, vol. 1, pp. 452-459, 2009.

[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 13] [SCOPUS Times Cited 25]


[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 9] [SCOPUS Times Cited 13]


[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 45] [SCOPUS Times Cited 67]


[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 Times Cited 4]


[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 21] [SCOPUS Times Cited 25]


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[CrossRef] [SCOPUS Times Cited 7]


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[CrossRef] [SCOPUS Times Cited 13]


[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 285] [SCOPUS Times Cited 399]


[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 27] [SCOPUS Times Cited 41]


[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 97] [SCOPUS Times Cited 121]


[17] S. Yuta, and Y. Ebihara, "Radio Communication Network on Autonomous Mobile Robots for Cooperative Motions," Proc. 14th IEEE Annual Conference of IECON, pp. 32-37, Singapore, 1988.
[CrossRef] [SCOPUS Times Cited 6]


[18] M. A. Labrador, "Communication-assisted Topology Control of Semi-autonomous Robots," Proc. IEEE Conference on Local Computer Networks, pp. 563-564, Florida, 2006.
[CrossRef] [SCOPUS Times Cited 5]


[19] G. Benet, F. Blanes, J. E. Simo, P. Perez, "Using infrared sensors for distance measurement in mobile robots," Robotics and Autonomous Systems, vol. 40, pp. 255-266, 2002.
[CrossRef] [Web of Science Times Cited 112] [SCOPUS Times Cited 158]


[20] A. Giambattista, B. McCarthy Richardson and R. C. Richardson, "Physics", McGraw-Hill Higher Education, pp. 816-818, 2008. [PermaLink]

[21] Behrouz A. Forouzan, "Data Communications and Networking", McGraw-Hill Education, pp. 101-150, 2007. [PermaLink]

[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: 1,346 TCR
SCOPUS® Citations for all references: 1,930 TCR

Web of Science® Average Citations per reference: 59 ACR
SCOPUS® Average Citations per reference: 84 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 2021-10-14 00:42 in 123 seconds.




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


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