Abstract
Swarm robotics system has been a particularly active topic of robotics in recent years due to the increasing deepening of research on robotics technology and application. This paper gives a survey of swarm robotics system research from such aspects as theoretical basis and physical research, simulation platform, distributed control information fusion and communications system. Some problems that need to be solved about swarm robotics system research in IOT (Internet of Things) environment are also raised, such as co-adaptation, distributed control and self-organization, resource scheduling management. Finally, the ant colony algorithm and particle swarm optimization are applied to the swarm robotics system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Xinsong, J.: Control Problem in Robot and Robotics. Robot 12, 1–13 (1990)
Arai, T., Pagello, E., Parker, L.: Advances in Multi-Robot Systems. IEEE T. Robotics Autom. 18, 655–661 (2002)
Kui, Y., Yuan, L., Li-Xin, F.: Multiple Mobile Robot Systems: A Survey of Recent Work. Acta Automatica Sinica 33, 785–795 (2007)
Dorigo, M., Tuci, E., Groß, R., Trianni, V., Labella, T.H., Nouyan, S., Ampatzis, C., Deneubourg, J.-L., Baldassarre, G., Nolfi, S., Mondada, F., Floreano, D., Gambardella, L.M.: The SWARM-BOTS Project. In: Şahin, E., Spears, W.M. (eds.) Swarm Robotics 2004. LNCS, vol. 3342, pp. 31–44. Springer, Heidelberg (2005)
Dorigo, M., Sahin, E.: Special Issue: Swarm Robotics. Auton. Robot. 17, 111–113 (2004)
Sahin, E., Winfield, A.: Special Issue on Swarm Robotics. Swarm Intelligence 2, 69–72 (2008)
Şahin, E.: Swarm Robotics: From Sources of Inspiration to Domains of Application. In: Şahin, E., Spears, W.M. (eds.) Swarm Robotics WS 2004. LNCS, vol. 3342, pp. 10–20. Springer, Heidelberg (2005)
Kennedy, J., Eberhart, R.C., Shi, Y.: Swarm Intelligence (photocopy edition). People Post Press, Beijing (2009)
Beni, G., Wang, J.: Swarm Intelligence. In: Proceedings of the Seventh Annual Meeting of the Robotics Society of Japan, pp. 425–428 (1989)
Colorni, A., Dorigo, M., Maniezzo, V., et al.: Distributed Optimization by Ant Colonies. In: Proceedings of the 1st European Conference on Artificial Life, pp. 134–142 (1991)
Min, T., Yong, F., Guohua, X.: Research on Control and Co-operation for Swarm robot Systems. Robot. 23, 178–182 (2001)
Minhui, W., Shugen, M., Bin, L., Chaoyue, W.: Configuration expression and remodeling optimization of independent operational and reconfigurable groups of robot. Science in China (Series F: Information Sciences) 39, 269–280 (2009)
Hongxing, W., Miao, L., Dezhong, L., Tianmiao, W.: A Novel Self-assembly Modular Swarm Robot: Docking Mechanism Design and Self-assembly Control. Robot. 32, 614–621 (2010)
Vaughan, R.: Massively Multi-robot Simulation in Stage. Swarm Intelligence, 189–208 (2008)
Zhiguo, S., Zhiliang, W., Jiwei, L.: Developments in heterogeneous multi-robot cooperation systems. CAAI T. Intelli. Systems 4, 377–391 (2009)
Desai, J.: A Graph Theoretic Approach for Modeling Mobile Robot Team Formations. Journal of Robotic System 19, 511–525 (2002)
Li, L., Martinoli, A., Abu-Mostafa, A.: Learning and Measuring Specialization in Collaborative Swarm Systems. Adapt. Behav. 12, 199–212 (2004)
Hall, D., Llinas, H.: An Introduction to Multisensor Data Fusion. Proceedings of the IEEE 85, 6–23 (1997)
Luo, R., Kay, M.: Multi-sensor Integration and Fusion in Intelligent Systems. IEEE T. Syst. Man Cy. B. 19, 901–931 (1989)
Yuan, L., Kui, Y., Rui, Z.: Performance Analysis of Multi-Robot Communication System Based on Wireless Local Area Networks. Journal of System Simulation 21, 2219–2223 (2009)
Xiaoping, R., Zixing, C., Aibing, C.: Current research in multi-mobile robots communication system. Control and Decision 25, 327–332 (2010)
Christensen, A., Grady, R., Dorigo, M.: SWARMORPH-script: a Language for Arbitrary Morphology Generation in Self-assembling Robots. Swarm Intelligence 2, 143–165 (2008)
Deneubourg, J.L., Goss, S., Pasteels, J.M.: The self-organizing exploratory pattern of the argentine ant. J. Insect Behav. 3, 159–168 (1990)
Pasteels, J.M., Deneubourg, J.L., Goss, S.: Self-organization mechanisms in ant societies: Trail recruitment to newly discovered food sources. Experientia Supplementum 54, 155–175 (1987)
Gross, R., Bonani, M., Mondada, F., Dorigo, M.: Autonomous Self-Assembly in Swarm-Bots. IEEE T. Robot. 22, 1115–1130 (2006)
Trianni, V., Nolfi, S.: Self-Organizing Sync in a Robotic Swarm: A Dynamical System View. IEEE T. Evolut. Comput. 13, 722–741 (2009)
Berman, S., Halasz, A., Hsieh, M., Kumar, V.: Optimized Stochastic Policies for Task Allocation in Swarms of Robots. IEEE T. Robot. 25, 927–937 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shi, Z., Tu, J., Zhang, Q., Liu, L., Wei, J. (2012). A Survey of Swarm Robotics System. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30976-2_68
Download citation
DOI: https://doi.org/10.1007/978-3-642-30976-2_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30975-5
Online ISBN: 978-3-642-30976-2
eBook Packages: Computer ScienceComputer Science (R0)