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Behavioral Interactions of Two Individual Arm Robots Using Independent Chaos in Recurrent Neural Networks

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Advances in Cognitive Neurodynamics (IV)

Part of the book series: Advances in Cognitive Neurodynamics ((ICCN))

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Abstract

Based on a heuristic idea and by computer experiment, we show that chaos introduced into a recurrent neural network model can enable “complex control with simple rule(s)” under ill-posed situations. Furthermore, we show behavioral interactions of two individual arm robots driven by independent chaos implemented into each arm control system using recurrent neural networks.

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Acknowledgments

This work is supported partly by Grant-in-Aid in the Ministry of Education, Science, Sports & Culture of Japanese Government, and partly by Co-operative Research Program of “Network of Joint Center for Materials & Devices”

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Authors and Affiliations

  1. Electrical and Electronic Engineering Department, Graduate School of Natural Science and Technology, Okayama University, Tsushima-naka 3-1-1, Kita-ku, Okayama, 700-8530, Japan

    S. Kuwada, T. Aota, K. Uehara, S. Hiraga, Y. Takamura & Shigetoshi Nara

Authors
  1. S. Kuwada
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  2. T. Aota
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  3. K. Uehara
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  4. S. Hiraga
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  5. Y. Takamura
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  6. Shigetoshi Nara
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Corresponding author

Correspondence to Shigetoshi Nara .

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Editors and Affiliations

  1. SLU and Agora for Biosystems, Sigtuna, Sweden

    Hans Liljenström

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Kuwada, S., Aota, T., Uehara, K., Hiraga, S., Takamura, Y., Nara, S. (2015). Behavioral Interactions of Two Individual Arm Robots Using Independent Chaos in Recurrent Neural Networks. In: Liljenström, H. (eds) Advances in Cognitive Neurodynamics (IV). Advances in Cognitive Neurodynamics. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9548-7_74

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