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A Robotic Validation of the Attractive Field Model: An Inter-disciplinary Model of Self-regulatory Social Systems

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Swarm Intelligence (ANTS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6234))

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Abstract

Division of labour in multi-robot systems or multi-robot task allocation (MRTA) is a challenging research issue. We propose to solve this MRTA problem using a set of previously published generic rules for division of labour derived from the observation of ant, human and robotic social systems. These bottom-up rules describe the phenomenon of self-regulated division of labour in terms of attractive fields between robots and tasks. The concrete form of these rules, the attractive filed model, avoids the strong dependence on local interactions found in many existing approaches to MRTA. We present experimental results that constitute a first validation of attractive filed model as a mechanism for MRTA and as a multi-disciplinary model of self-organisation in social systems. Our experiments used 16 e-puck robots in a 2m x 2m area.

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References

  1. Arcaute, E., Christensen, K., Sendova-Franks, A., Dahl, T., Espinosa, A., Jensen, H.J.: Division of labour in ant colonies in terms of attractive fields. In: Ecol. Complex (2008)

    Google Scholar 

  2. Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm intelligence: from natural to artificial systems. Oxford University Press, Oxford (1999)

    MATH  Google Scholar 

  3. Dias, M.B., Zlot, R.M., Kalra, N., Stentz, A.: Market-based multirobot coordination: A survey and analysis. Proceedings of the IEEE 94, 1257–1270 (2006)

    Article  Google Scholar 

  4. Gerkey, B.P., Mataric, M.J.: A formal analysis and taxonomy of task allocation in multi-robot systems. The International Journal of Robotics Research 23, 939 (2004)

    Article  Google Scholar 

  5. Lerman, K., Jones, C., Galstyan, A., Mataric, M.J.: Analysis of dynamic task allocation in multi-robot systems. The International Journal of Robotics Research 25, 225 (2006)

    Article  Google Scholar 

  6. Liu, W., Winfield, A.F.T., Sa, J., Chen, J., Dou, L.: Towards energy optimization: Emergent task allocation in a swarm of foraging robots. Adaptive Behavior 15(3), 289–305 (2007)

    Article  Google Scholar 

  7. Lochmatter, T., Roduit, P., Cianci, C., Correll, N., Jacot, J., Martinoli, A.: Swistrack-a flexible open source tracking software for multi-agent systems. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2008, pp. 4004–4010 (2008)

    Google Scholar 

  8. Parker, L.E.: Distributed intelligence: Overview of the field and its application in multi-robot systems. Journal of Physical Agents, special issue on multi-robot systems 2(2), 5–14 (2008)

    Google Scholar 

  9. Shen, W., Norrie, D.H., Barthes, J.P.: Multi-agent systems for concurrent intelligent design and manufacturing. Taylor & Francis, London (2001)

    Google Scholar 

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Sarker, M.O.F., Dahl, T.S. (2010). A Robotic Validation of the Attractive Field Model: An Inter-disciplinary Model of Self-regulatory Social Systems. In: Dorigo, M., et al. Swarm Intelligence. ANTS 2010. Lecture Notes in Computer Science, vol 6234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15461-4_3

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  • DOI: https://doi.org/10.1007/978-3-642-15461-4_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15460-7

  • Online ISBN: 978-3-642-15461-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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