Analysis of imitative interactions between humans and a robot with a neuro-dynamical system

Shingo Murata, Kai Hirano, Hiroaki Arie, Shigeki Sugano, Tetsuya Ogata

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    Human communicative behavior is both dynamic and bidirectional. This study aims to analyze such behavior by conducting imitative interactions between human subjects and a humanoid robot that has a neuro-dynamical system. For this purpose, we take a robot-centered approach in which the change in robot performance according to difference in human partner is analyzed, rather than adopting the typical human-centered approach. A small humanoid robot equipped with a neuro-dynamical system learns imitative arm movement patterns and interacts with humans after the learning process. We analyze the interactive phenomena by different methods, including principal component analysis and use of a recurrence plot. Through this analysis, we demonstrate that different classes of interactions can be observed in the contextual dynamics of the neuro-dynamical system.

    Original languageEnglish
    Title of host publicationSII 2016 - 2016 IEEE/SICE International Symposium on System Integration
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages343-348
    Number of pages6
    ISBN (Electronic)9781509033294
    DOIs
    Publication statusPublished - 2017 Feb 6
    Event2016 IEEE/SICE International Symposium on System Integration, SII 2016 - Sapporo, Japan
    Duration: 2016 Dec 132016 Dec 15

    Other

    Other2016 IEEE/SICE International Symposium on System Integration, SII 2016
    CountryJapan
    CitySapporo
    Period16/12/1316/12/15

    Fingerprint

    Dynamical systems
    Dynamical system
    Robot
    Robots
    Humanoid Robot
    Interaction
    Recurrence Plot
    Human Behavior
    Learning Process
    Principal component analysis
    Principal Component Analysis
    Human
    Demonstrate

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Control and Systems Engineering
    • Mechanical Engineering
    • Artificial Intelligence
    • Hardware and Architecture
    • Control and Optimization

    Cite this

    Murata, S., Hirano, K., Arie, H., Sugano, S., & Ogata, T. (2017). Analysis of imitative interactions between humans and a robot with a neuro-dynamical system. In SII 2016 - 2016 IEEE/SICE International Symposium on System Integration (pp. 343-348). [7844022] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SII.2016.7844022

    Analysis of imitative interactions between humans and a robot with a neuro-dynamical system. / Murata, Shingo; Hirano, Kai; Arie, Hiroaki; Sugano, Shigeki; Ogata, Tetsuya.

    SII 2016 - 2016 IEEE/SICE International Symposium on System Integration. Institute of Electrical and Electronics Engineers Inc., 2017. p. 343-348 7844022.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Murata, S, Hirano, K, Arie, H, Sugano, S & Ogata, T 2017, Analysis of imitative interactions between humans and a robot with a neuro-dynamical system. in SII 2016 - 2016 IEEE/SICE International Symposium on System Integration., 7844022, Institute of Electrical and Electronics Engineers Inc., pp. 343-348, 2016 IEEE/SICE International Symposium on System Integration, SII 2016, Sapporo, Japan, 16/12/13. https://doi.org/10.1109/SII.2016.7844022
    Murata S, Hirano K, Arie H, Sugano S, Ogata T. Analysis of imitative interactions between humans and a robot with a neuro-dynamical system. In SII 2016 - 2016 IEEE/SICE International Symposium on System Integration. Institute of Electrical and Electronics Engineers Inc. 2017. p. 343-348. 7844022 https://doi.org/10.1109/SII.2016.7844022
    Murata, Shingo ; Hirano, Kai ; Arie, Hiroaki ; Sugano, Shigeki ; Ogata, Tetsuya. / Analysis of imitative interactions between humans and a robot with a neuro-dynamical system. SII 2016 - 2016 IEEE/SICE International Symposium on System Integration. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 343-348
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