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Modular Robot that Modeled Cell Membrane Dynamics of a Cellular Slime Mold

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Intelligent Autonomous Systems 15 (IAS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 867))

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Abstract

Understanding of the design principles for implementing adaptive functions with respect to engineering currently remains stalled in the conceptual level. However, living organisms exhibit great adaptive function by skillfully relating shape and function in a spatio-temporal manner. In this study, we focus on amoeboid organisms because these organisms have a variable morphology that relates shape and function. Amoeboid organisms in the natural world (i.e., cellular slime molds) locomote through changing the cell membrane shape by inducing the internal protoplasmic streaming. Based on this mechanism, we developed modular robots that modeled the cell membrane dynamics of a cellar slime mold.

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Acknowledgment

This work was supported partially by Grant-in-Aid for Scientific Research on 15H02763, and 17K19978 from the Ministry of Education, Culture, Sports, Science and Technology of Japan.

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Authors and Affiliations

  1. Osaka University, Suita, Japan

    Ryusuke Fuse, Masahiro Shimizu, Shuhei Ikemoto & Koh Hosoda

Authors
  1. Ryusuke Fuse
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  2. Masahiro Shimizu
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  3. Shuhei Ikemoto
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  4. Koh Hosoda
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Corresponding author

Correspondence to Masahiro Shimizu .

Editor information

Editors and Affiliations

  1. Baden-Wuerttemberg Cooperative State University, Karlsruhe, Germany

    Marcus Strand

  2. Humanoids and Intelligence Systems Lab, KIT - Karlsruher Institut für Technologie, Karlsruhe, Germany

    Rüdiger Dillmann

  3. University of Padua , Padua, Italy

    Emanuele Menegatti

  4. University of Padua, Padua, Italy

    Stefano Ghidoni

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Fuse, R., Shimizu, M., Ikemoto, S., Hosoda, K. (2019). Modular Robot that Modeled Cell Membrane Dynamics of a Cellular Slime Mold. In: Strand, M., Dillmann, R., Menegatti, E., Ghidoni, S. (eds) Intelligent Autonomous Systems 15. IAS 2018. Advances in Intelligent Systems and Computing, vol 867. Springer, Cham. https://doi.org/10.1007/978-3-030-01370-7_24

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