Foraging behavior analysis of swarm robotics system

E. Sakthivelmurugan; G. Senthilkumar; K. G. Prithiviraj; K. R. Tinu Devraj

doi:10.1051/matecconf/201814401013

All issues

Volume 144 (2018)

MATEC Web Conf., 144 (2018) 01013

References

Open Access

Issue		MATEC Web Conf. Volume 144, 2018 International Conference on Research in Mechanical Engineering Sciences (RiMES 2017)


Article Number		01013
Number of page(s)		10
Section		Machine Design
DOI		https://doi.org/10.1051/matecconf/201814401013
Published online		09 January 2018

L. Bayindir and E. Sahin (2007) “A Review of Studies in Swarm Robotics”, The Turkish Journal of Electrical Engineering and Computer Science Vol.15, No.2, pp. 115-147. [Google Scholar]
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J. Lee, H. Kim and C. Ahn (2012) “Foraging Swarm Robots System Adopting Honey Bee Swarm for Improving Energy Efficiency”, International Conference on Ubiquitous Information Management and Communication, ICUIMC '12, Kulalumpur, Malasia. [Google Scholar]
D. Lambrinos, R. Moller, R. Labhart, R. Pfeifer and R. Wehner (2000) “A mobile robot employing insect strategies for navigation”, The Journal of robotics and autonomous systems, pp 39-64. [CrossRef] [Google Scholar]
K. Sugawara, M. Sano, I. Yoshihara, K. Abe and T. Watanabe (1999) “Foraging Behavior of Multi-robot system and Emergence of Swarm Intelligence”, International Conference on System, Man and Cybernetics, Vol.3,pp.257-262,Tokyo. [Google Scholar]
R. Sharpe and B. Webb (1998) “Simulated and situated models of chemical trail following in ants”, International conference on simulation of adaptive behaviour, pp 195 -204. [Google Scholar]
K. Krishnaiah and P. Shahabudeen, “Applied Design of Experiments and Taguchi Methods”, The Book ISBN-978-81-203-4527-0, pp. 85-153. [Google Scholar]

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[1] L. Bayindir and E. Sahin (2007) “A Review of Studies in Swarm Robotics”, The Turkish Journal of Electrical Engineering and Computer Science Vol.15, No.2, pp. 115-147. [Google Scholar]

[2] Campo and M. Dorigo, V. Longchamp, S. Garnier and C. Pinciroli (2010) “Artificial pheromone for path selection by a foraging swarm of robots”, The Journal of Biological Cybernectics vol.103, pp. 339-352 [CrossRef] [Google Scholar]

[3] Campo and M. Dorigo (2007) “Efficient Multi-foraging in Swarm Robotics”, Book Advances in Artificial Life, 9th European Conference, ECAL, vol.4648, pp. 696-705, Lisbon, Portugal. [CrossRef] [Google Scholar]

[4] R. Hoff, A. Sagoff, J. Wood and R. Nagpal (2010) “Two Foraging Algorithms for Robot Swarms Using Only Local Communication”, International Conference on Robotics and Biomimetics (ROBIO), pp. 123-130, Tianjin. [Google Scholar]

[5] J. Lee, H. Kim and C. Ahn (2012) “Foraging Swarm Robots System Adopting Honey Bee Swarm for Improving Energy Efficiency”, International Conference on Ubiquitous Information Management and Communication, ICUIMC '12, Kulalumpur, Malasia. [Google Scholar]

[6] D. Lambrinos, R. Moller, R. Labhart, R. Pfeifer and R. Wehner (2000) “A mobile robot employing insect strategies for navigation”, The Journal of robotics and autonomous systems, pp 39-64. [CrossRef] [Google Scholar]

[7] K. Sugawara, M. Sano, I. Yoshihara, K. Abe and T. Watanabe (1999) “Foraging Behavior of Multi-robot system and Emergence of Swarm Intelligence”, International Conference on System, Man and Cybernetics, Vol.3,pp.257-262,Tokyo. [Google Scholar]

[8] R. Sharpe and B. Webb (1998) “Simulated and situated models of chemical trail following in ants”, International conference on simulation of adaptive behaviour, pp 195 -204. [Google Scholar]

[9] K. Krishnaiah and P. Shahabudeen, “Applied Design of Experiments and Taguchi Methods”, The Book ISBN-978-81-203-4527-0, pp. 85-153. [Google Scholar]