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Simulation Study of a Group-Behavior of Micro-Robots on the Model of Insect’s Behavior

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ROMANSY 11

Part of the book series: International Centre for Mechanical Sciences ((CISM,volume 381))

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Abstract

Recently, the researches and developments on micro-robots are being carried out. Under such circumstances, how to control such micro-robots will become a main subject hereafter. We will not be able to expect, in general, to make the micro-robot have such higher sensing ability and control function as robots we have now. It is important to study the behavior as a group of micro-robots with only simple function under no hierarchical organization. We assume a micro-robot that only has a simple and vague visual sensor and an ability which is distinguish the same race and others. This paper proposes a method for which such micro-robots, as a group, carry out a task. We suppose the task such as a group of the micro-robots search objects in a working space and carry them to a home position Each micro-robot works under 5 behavior rules to carry out the task. The computer simulation results show that although the micro-robot has one having only simple functions, a group of such micro-robots is able to exhibit the meaningful behavior.

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Reference

  1. J.L.Deneubourg, et.al.: The Dynamics of Collective Sorting Robot-like Ants and Ant-like Robots; Proc. of the 1st International Conference on Simulation of Adaptive Behavior, 356/363, MIT Press. 1991

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  2. H.Miura: Insect-model based Robot and Group Intelligence (in Japanese); Keisoku to Seigyo, (Journal of SICE), Vol. 31, No. 11, 1180–1184, 1992

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© 1997 Springer-Verlag Wien

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Matsushima, K., Hayashibara, Y., Nakamoto, K. (1997). Simulation Study of a Group-Behavior of Micro-Robots on the Model of Insect’s Behavior. In: Morecki, A., Bianchi, G., Rzymkowski, C. (eds) ROMANSY 11. International Centre for Mechanical Sciences, vol 381. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2666-0_25

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  • DOI: https://doi.org/10.1007/978-3-7091-2666-0_25

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82903-5

  • Online ISBN: 978-3-7091-2666-0

  • eBook Packages: Springer Book Archive

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