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Reseach Article

An Overview of Swarm Robotics: Swarm Intelligence Applied to Multi-robotics

by Belkacem Khaldi, Foudil Cherif
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 126 - Number 2
Year of Publication: 2015
Authors: Belkacem Khaldi, Foudil Cherif
10.5120/ijca2015906000

Belkacem Khaldi, Foudil Cherif . An Overview of Swarm Robotics: Swarm Intelligence Applied to Multi-robotics. International Journal of Computer Applications. 126, 2 ( September 2015), 31-37. DOI=10.5120/ijca2015906000

@article{ 10.5120/ijca2015906000,
author = { Belkacem Khaldi, Foudil Cherif },
title = { An Overview of Swarm Robotics: Swarm Intelligence Applied to Multi-robotics },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 126 },
number = { 2 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 31-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume126/number2/22527-2015906000/ },
doi = { 10.5120/ijca2015906000 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:16:25.585211+05:30
%A Belkacem Khaldi
%A Foudil Cherif
%T An Overview of Swarm Robotics: Swarm Intelligence Applied to Multi-robotics
%J International Journal of Computer Applications
%@ 0975-8887
%V 126
%N 2
%P 31-37
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As an emergent research area by which swarm intelligence is applied to multi-robot systems; swarm robotics (a very particular and peculiar sub-area of collective robotics) studies how to coordinate large groups of relatively simple robots through the use of local rules. It focuses on studying the design of large amount of relatively simple robots, their physical bodies and their controlling behaviors. Since its introduction in 2000, several successful experimentations had been realized, and till now more projects are under investigations. This paper seeks to give an overview of this domain research; for the aim to orientate the readers, especially those who are newly coming to this research field.

References
  1. Ying T. 2013. Swarm Robotics: Collective Behavior Inspired by Nature. J Comput Sci Syst Biol. (2013), DOI= http://dx.doi.org/10.4172/jcsb.1000e106.
  2. Amanda J.C.S. 2007. Swarm Robotics and minimalism. Connection Science. 19(3), 2017. 245-260.
  3. William A. 2003. Modeling Artificial, Mobile Swarm Systems. Doctoral Thesis. Institute of Technology, California.
  4. Beni G., Wang J. 1989. Swarm Intelligence in Cellular Robotic. In Systems Proceedings of NATO Advanced Workshop on Robots and Biological Systems. 102(1989).
  5. Bighnaraj N., Sarita M., Subhra S., Swadhin K.B. 2012. Cooperative Swarm based Evolutionary Approach to find optimal cluster centroids in Cluster Analysis, IJCSI International Journal of Computer Science Issues. 9(2012).
  6. Dorigo M., Birattari M. 2007. Swarm Intelligence. Scholarpedia. 2(9), 2007.
  7. Eliseo F. 2009. A Control Architecture for a Heterogeneous Swarm of Robots, Rapport d’avancement de recherché (PhD), Universite Libre De Bruxelles; Computers and Decision Engineering, IRIDIA.
  8. Rafael P., Heitor S. L. 2012. Theory and New Applications of Swarm Intelligence. InTech. Janeza Trdine 9, 51000 Rijeka, Croatia. ISBN 978-953-51-0364-6. 2012.
  9. Mehdi N., Ghodrat S., Mehdi S., Adel N. T. 2012. Artificial fish swarm algorithm: a survey of the state of the-art, hybridization, combinatorial and indicative applications. Artif Intell Rev. Springer Science and Business Media B.V. 2012. Doi= 10.1007/s10462-012-9342-2.
  10. Hamdi A., Monmarché N., Adel Alimi M., Slimane M. 2011. Bee-based algorithms: a review. http://www.researchgate.net/publication/236341293_ Beebased_algorithms_a_review/file/72e7e51bea05a01b3c.pdf.
  11. Zhiguo S., Jun T., Qiao Z., Lei L., Junming W. 2012. A Survey of Swarm Robotics System. Advances in Swarm Intelligence Lecture Notes in Computer Science. 7331(2012).
  12. Hui Keng L. 2012. Error Detection in Swarm Robotics:A Focus on Adaptivity to Dynamic Environments. PhD Thesis. University of York, Department of Computer Science.
  13. Marco D., al. 2005. The SWARM-BOT Project. Swarm Robotics Lecture Notes in Computer Science. 3342(2005).
  14. Marco D., al. 2004. Evolving Self-Organizing Behaviors for a Swarm-Bot. Autonomous Robots. 17(2-3). September 2004. 223-245.
  15. Zur E. 2008. Space-Time Continuous Models of Swarm Robotic Systems: Supporting Global-to-Local Programming. PhD Thesis. Von der Fakultat fur Informatik der Universitat Fridericiana zu Karlsruhe (TH).
  16. Aleksandar J., Diego A. 2007. Swarm Intelligence and Its Applications in Swarm Robotics. 6th WSEAS Int. Conference on Computational Intelligence. ManMachine Systems and Cybernetics. Tenerife, Spain. December 14-16, 2007.
  17. Dorigo M., Sahin E. Guest editorial. 2004. Swarm robotics. Autonomous Robots. 17, 2-3(2004). 111-113.
  18. Ying T., Zhong-yang Z. 2013. Research Advance in Swarm Robotics. ScienceDirect. Defence Technology 9(2013). doi= http://dx.doi.org/10.1016/j.dt.2013.03.001.
  19. Manuele B., Eliseo F., Mauro B., Marco D. 2013. Swarm robotics: a review from the swarm engineering perspective. Swarm Intell. 7:1(2013). Doi=10.1007/s11721-012-0075-2.
  20. Garnier S., Jost C., Jeanson R., Gautrais J., Asadpour M., Caprari G., Theraulaz G. 2005. Aggregation behavior as a source of collective decision in a group of cockroach-like robots. In Lecture notes in artificial intelligence. Advances in artificial life. 3630(2005). 169–178.
  21. Soysal O., Bahçeci, E., Sahin E. Aggregations in swarm robotic systems: evolution and probabilistic control. Turkish Journal of Electrical Engineering and Computer Sciences, 15(2), 199–225.
  22. Shucker B., Bennett, J. K. 2007. Scalable control of distributed robotic macrosensors. In Distributed autonomous robotic systems. 6(2007). 379–388.
  23. Nouyan S., Campo A., Dorigo, M. 2008. Path formation in a robot swarm: self-organized strategies to find your way home. Swarm Intelligence, 2:1(2008). 1–23.
  24. Maxim P. M., Spears W. M., Spears D. F. 2009. Robotic chain formations. In Proceedings of the IFAC. workshop on networked robotic (NetRob'09).19–24
  25. O’Grady R., Christensen A., Dorigo M. 2009. SWARMORPH: multi-robot morphogenesis using directional self-assembly. IEEE Transactions on Robotics, 25(3), 738–743.
  26. Stirling T., Floreano D. 2010. Energy efficient swarm deployment for search in unknown environments. In Lecture notes in computer science. Proceedings of the 7th international conference on swarm intelligence. 562–563.
  27. Ducatelle F., Di Caro C. P. G. A., Gambardella L. M. 2011. Self-organized cooperation between robotic swarms. Swarm Intelligence. 5:2. 73–96.
  28. Turgut A. E., Çelikkanat H., Gökçe F., Sahin E. 2008. Self-organized flocking in mobile robot swarms. Swarm Intelligence. 2:2–4. 97–120.
  29. Groß R., Dorigo M. 2008. “Evolution of solitary and group transport behaviors for autonomous robots capable of self-assembling. Adaptive Behavior. 16:5. 285–305.
  30. Garnier S., Jost C., Jeanson R., Gautrais J., Asadpour M., Caprari G., Theraulaz G.2005. Aggregation behaviour as a source of collective decision in a group of cockroach-like robots. In Lecture notes in artificial intelligence. Advances in artificial life. 3630(2005). 169–178.
  31. Gutiérrez Á., Campo A., Monasterio-Huelin F., Magdalena L., Dorigo M. 2010. Collective decisionmaking based on social odometry. Neural Computing & Applications. 19(6). 807–823.
  32. Pini G. 2014. Task partitioning in swarms of robots an adaptive method for strategy selection. URL http://iridia.ulb.ac.be/supp/IridiaSupp2011-003/index.html.
Index Terms

Computer Science
Information Sciences

Keywords

Swarm robotics applications swarm robotics simulators swarm robotics problems classification.