RNNを備えた2体のロボット間における身体性に基づいた動的コミュニケーションの創発  [in Japanese] Emergence of Dynamical Communication based on Body Dynamics between Two Robots with RNN  [in Japanese]

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Author(s)

Abstract

We propose a model of evolutionary communication with voice signs and motion signs between two robots. In our model, a robot recognizes other's action through reflecting its self body dynamics by a Multiple Timescale Recurrent Neural Network (MTRNN). Then the robot interprets the action as a sign by its own hierarchical Neural Network (NN). Each of them modifies their interpretation of signs by re-training the NN to adapt the other's interpretation throughout interaction between them. As a result of the experiment, we found that the communication kept evolving through repeating miscommunication and re-adaptation alternately, and induced the emergence of diverse new signs that depend on the robots' body dynamics through the generalization capability of MTRNN.

Journal

  • Journal of the Robotics Society of Japan

    Journal of the Robotics Society of Japan 28(4), 532-543, 2010-05-15

    The Robotics Society of Japan

References:  29

Codes

  • NII Article ID (NAID)
    10026387013
  • NII NACSIS-CAT ID (NCID)
    AN00141189
  • Text Lang
    JPN
  • Article Type
    ART
  • ISSN
    02891824
  • NDL Article ID
    10707340
  • NDL Source Classification
    ZN11(科学技術--機械工学・工業)
  • NDL Call No.
    Z16-1325
  • Data Source
    CJP  NDL  J-STAGE 
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