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Analysis of an Intention-Response Model Inspired by Brain Nervous System for Cognitive Robot

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Book cover Neural Information Processing (ICONIP 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9947))

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Abstract

A service robot requires natural and interactive interaction with users without explicit commands. It is still one of the difficult problems to generate robust reactions for the robot in the real environment with unreliable sensor data to satisfy user’s requests. This paper presents an intention-response model based on mirror neuron and theory of mind, and analyzes the performance for a humanoid to show the usefulness. The model utilizes the modules of behavior selection networks to realize prompt response and goal-oriented characteristics of the mirror neuron, and performs reactions according to an action plan based on theory of mind. To cope with conflicting goals, behaviors of the sub-goal unit are generated using a hierarchical task network. Experiments with various scenarios reveal that appropriate reactions are generated according to external stimuli.

This work was supported by the Industrial strategic technology development program, 10044828, Development of augmenting multisensory technology for enhancing significant effect on service industry funded by the Ministry of Trade, industry & Energy (MI, Korea).

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Authors and Affiliations

  1. Department of Computer Science, Yonsei University, Seoul, Republic of Korea

    Jae-Min Yu & Sung-Bae Cho

Authors
  1. Jae-Min Yu
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  2. Sung-Bae Cho
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Corresponding author

Correspondence to Sung-Bae Cho .

Editor information

Editors and Affiliations

  1. The University of Tokyo, Tokyo, Japan

    Akira Hirose

  2. Kobe University, Kobe, Japan

    Seiichi Ozawa

  3. Okinawa Institute of Science and Technology Graduate University, Onna, Japan

    Kenji Doya

  4. Nara Institute of Science and Technology, Ikoma, Japan

    Kazushi Ikeda

  5. Kyungpook National University, Daegu, Korea (Republic of)

    Minho Lee

  6. Chinese Academy of Sciences, Beijing, China

    Derong Liu

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Yu, JM., Cho, SB. (2016). Analysis of an Intention-Response Model Inspired by Brain Nervous System for Cognitive Robot. In: Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M., Liu, D. (eds) Neural Information Processing. ICONIP 2016. Lecture Notes in Computer Science(), vol 9947. Springer, Cham. https://doi.org/10.1007/978-3-319-46687-3_18

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  • DOI: https://doi.org/10.1007/978-3-319-46687-3_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46686-6

  • Online ISBN: 978-3-319-46687-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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