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Development of Omnidirectional Mobile Treadmill for Neuroethology

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Biomimetic and Biohybrid Systems (Living Machines 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11556))

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Abstract

We developed an omnidirectional mobile treadmill for measuring the adaptive behavior of an insect. We focused on the odor source search problem to construct it. We employed a male silkworm moth Bombyx mori, which searches a female by walking, as an experimental insect. We evaluated the performance of the omnidirectional mobile treadmill by performing an odor source search experiment. As a result of the search experiment, the silkworm moth on the mobile treadmill was able to reach the odor source with 100\(\%\) success rate. Therefore, we succeeded in developing the insect behavior measurement system and the drive system of the omnidirectional mobile treadmill.

This work was partially supported by JSPS KAKENHI Grant Number JP18H05889, JP19K14943.

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Author information

Authors and Affiliations

  1. Osaka University, Osaka, Japan

    Shunsuke Shigaki

  2. Yokohama National University, Kanagawa, Japan

    Kazushi Sanada

  3. Tokyo Institute of Technology, Tokyo, Japan

    Daisuke Kurabayashi

Authors
  1. Shunsuke Shigaki
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  2. Kazushi Sanada
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  3. Daisuke Kurabayashi
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Corresponding author

Correspondence to Shunsuke Shigaki .

Editor information

Editors and Affiliations

  1. University of Bath, Bath, UK

    Uriel Martinez-Hernandez

  2. SPECS, Institute for Bioengineering of Catalonia, Barcelona, Spain

    Vasiliki Vouloutsi

  3. SPECS, Institute for Bioengineering of Catalonia, Barcelona, Spain

    Anna Mura

  4. University of Sheffield, Sheffield, UK

    Michael Mangan

  5. Osaka University, Suita, Japan

    Minoru Asada

  6. University of Sheffield, Sheffield, UK

    Tony J. Prescott

  7. SPECS, ICREA, BIST, Barcelona, Spain

    Paul F.M.J. Verschure

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Shigaki, S., Sanada, K., Kurabayashi, D. (2019). Development of Omnidirectional Mobile Treadmill for Neuroethology. In: Martinez-Hernandez, U., et al. Biomimetic and Biohybrid Systems. Living Machines 2019. Lecture Notes in Computer Science(), vol 11556. Springer, Cham. https://doi.org/10.1007/978-3-030-24741-6_38

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  • DOI: https://doi.org/10.1007/978-3-030-24741-6_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24740-9

  • Online ISBN: 978-3-030-24741-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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