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Distributed Multi-agent System for Area Coverage Tasks: Architecture and Development

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Emergent Trends in Robotics and Intelligent Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 316))

Abstract

The article aims to present a new concept in mobile robotics – swarm robotics. It gives an overview of related research in coordination of mobile robots in a group and presents recent research activities in swarm robotics at the Institute of Informatics SAS. The architecture and development of a distributed multi-agent system for area coverage tasks are introduced.

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References

  1. Budinská, I.: Multi-agents coalitions for multi robot coordination. In: Kybernetika a Informatika 2012, 4p. Vydavateľstvo STU, Bratislava (2012) ISBN 978-80-227-3642-8

    Google Scholar 

  2. Chovancova, A., Rodina, J., Hubinský, P.: Modelling of the VTOL micro aerial mobile robot. ATP Journal Plus 1, 104–107 (2012)

    Google Scholar 

  3. Dasgupta, P., Cheng, K., Fan, L.: Flocking-based Distributed Terrain Coverage with Mobile Mini-robots. In: Proc. Swarm Intelligence Symposium, Nashville, TN, pp. 96–103 (2009)

    Google Scholar 

  4. Dorigo, M., Stutzle, T.: Ant Colony Optimization. MIT Press (2004) ISBN 0-262-04219-3

    Google Scholar 

  5. Hanzel, J., Kľúčik, M., Jurišica, L., Vitko, A.: Range finder models for mobile robots. In: Proceedings of MMaMS 2013, Procedia Engineering, vol. 48, pp. 189–198, 1877–7058. © 2012 Published by Elsevier Ltd. (2012)

    Google Scholar 

  6. Havlik, S.: Some Robotic Approaches and Technologies for Humanitarian Demining. In: Habib, M.K. (ed.) Humanitarian Demining Innovative Solutions and the Challenges of Technology, pp. 289–314. I-Tech Education and Publishing (2008a)

    Google Scholar 

  7. Havlik, S.: Land Robotic Vehicles for Demining. In: Habib, M.K. (ed.) Humanitarian Demining Innovative Solutions and the Challenges of Technology, pp. 315–326. I-Tech Education and Publishing (2008b)

    Google Scholar 

  8. Havlík, Š., Budinská, I., MASÁR, M.: Multi-robot coordination in performing hazardous operations. In: RAAD 2012: 21th International Workshop on Robotics in Alpe-Adria-Danube Region, pp. 169–176. Edizioni Scientifiche e Artistiche, Naples (2012) ISBN 978-88-95430-45-4

    Google Scholar 

  9. Hereford, J.M., Siebold, M.A.: Bio-inspired search strategies for robot swarms. In: Martin, E.M. (ed.) Swarm Robotics From Biology to Robotics. InTech (2010) ISBN: 978-953-307-075-9

    Google Scholar 

  10. Kalivarapu, V., Winer, E.: Implementation of Digital Pheromones in Particle Swarm Optimization for Constrained Optimization Problems. In: 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Schaumburg, IL (2008)

    Google Scholar 

  11. Kennedy, J., Eberhart, R.: A new optimizer using particle swarm theory. In: Proceedings of the IEEE Sixth International Symposium on Micro Machine and Human Science, pp. 39–43 (1995) ISBN: 0-7803-2676-8

    Google Scholar 

  12. Masár, M.: Doctoral thesis: Bio-inspired multi robot coordination method (2013a) (in Slovak)

    Google Scholar 

  13. Masár, M., Budinská, I.: Robot coordination based on biologically inspired methods. In: Advanced Materials Research, vol. 664, pp. 1022–6680 (2013b) ISSN 1022-6680

    Google Scholar 

  14. Masár, M., Zelenka, J.: Modification of PSO algorithm for the purpose of space exploration. In: INES 2012: IEEE 16th International Conference on Intelligent Engineering Systems 2012, pp. 51–54. IEEE Operations Centre, Piscataway (2012) ISBN 978-1-4673-2692-6

    Google Scholar 

  15. Reynolds, C.W.: Flocks, Herds, and Schools: A Distributed Behavioural Model. Computer Graphics 21(4), 25–34 (1987) ISBN: 0-89791-227-6

    Google Scholar 

  16. Shang, L., Kai, C., Guan, H., Liang, A.: A Map-Coverage Algorithm Basing on Particle Swarm Optimization, Scalcom-embeddedcom. In: 2009 International Conference on Scalable Computing and Communications; Eighth International Conference on Embedded Computing, pp. 87–91 (2009) ISBN 978-0-7695-3825-9

    Google Scholar 

  17. Zolotová, I., Laciňák, L., Lojka, T.: Architecture for a universal mobile communication. In: SAMI 2013: IEEE 11th International Symposium on Applied Machine Intelligence and Informatics: Proceedings, Herľany, Slovakia, January 31-February 2, pp. S. 61–S. 64. IEEE, Budapest (2013) ISBN 978-1-4673-5926-9

    Google Scholar 

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Budinská, I., Kasanický, T., Zelenka, J. (2015). Distributed Multi-agent System for Area Coverage Tasks: Architecture and Development. In: Sinčák, P., Hartono, P., Virčíková, M., Vaščák, J., Jakša, R. (eds) Emergent Trends in Robotics and Intelligent Systems. Advances in Intelligent Systems and Computing, vol 316. Springer, Cham. https://doi.org/10.1007/978-3-319-10783-7_26

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  • DOI: https://doi.org/10.1007/978-3-319-10783-7_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10782-0

  • Online ISBN: 978-3-319-10783-7

  • eBook Packages: EngineeringEngineering (R0)

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