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Conference on Biomimetic and Biohybrid Systems

Living Machines 2019: Biomimetic and Biohybrid Systems pp 183–192Cite as

Insect Behavior as High-Sensitive Olfactory Sensor for Robotic Odor Tracking

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

Abstract

Highly sensitive odor sensors are required for odor tracking in mobile robots. The male silkmoth (Bombyx mori) is a candidate as a biosensor because of its high sensitivity to the sex pheromone with stereotypic searching behavior; further, genetic tools enable us to modify their odor preferences. Therefore, the development of techniques to detect odor response easily and sensitively from silkmoths has become important. Recently, machine learning has demonstrated the behavior discrimination of silkmoths to estimate the timing of odor reception. Therefore, it would be possible to leverage a silkmoth’s behavioral response for odor tracking. In this research, we developed an odor-sensing device based on a silkmoth’s walking pattern for mobile-robot odor tracking. To achieve this, we first collected behavioral data with and without odor stimuli, and subsequently predicted the presence of odor using a support vector machine (SVM). The F1-score of our SVM classifier for the collected test data was 0.963. Finally, we implemented this sensing device to an odor-tracking robot.

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Acknowledgement

We thank NEC Corporation for their cooperative support and valuable discussions. This study was partially supported by JSPS KAKENHI (16K14192).

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Authors and Affiliations

  1. The Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan

    Junji Horibe, Noriyasu Ando & Ryohei Kanzaki

  2. Department of Systems Life Engineering, Maebashi Institute of Technology, Maebashi, Japan

    Noriyasu Ando

Authors
  1. Junji Horibe
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  2. Noriyasu Ando
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  3. Ryohei Kanzaki
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Corresponding author

Correspondence to Junji Horibe .

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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Horibe, J., Ando, N., Kanzaki, R. (2019). Insect Behavior as High-Sensitive Olfactory Sensor for Robotic Odor Tracking. 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_16

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  • DOI: https://doi.org/10.1007/978-3-030-24741-6_16

  • Published:

  • 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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