Acquisition of reactive motion for communication robots using interactive EC

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

    3 Citations (Scopus)

    Abstract

    We've developed an emotional communication robot, WAMOEBA, using behavior-based techniques. We also proposed motor-agent (MA) model, which is an autonomous distributed-control algorithm constructed of simple sensor-motor coordination. Though it enables WAMOEBA to behave in various ways, the weight of the combinations between different motor agents is influenced by the preferences of the developer. We usually use machine-learning algorithms to automatically configure these parameters for communication robots. However, this makes it difficult to define the quantitative evaluation required for communication. We therefore used the method of interactive evolutionary computation (IEC), which can be applied to problems involving quantitative evaluation. IEC does not require to define a fitness function; this task is performed by users. But the biggest problem with using IEC is human fatigue, which causes insufficiency of individuals and generations for convergence of EC. To fix this problem, we use the prediction function that automatically calculates the fitness values of genes from some samples that have received the human subjective evaluation. Then we carried out the behavior acquisition experiment using the IEC simulation system with the prediction function. As the results of experiments, it is confirmed that diversifying the genetic pool is an efficient way for generating a variety of behavior.

    Original languageEnglish
    Title of host publication2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    Pages1198-1203
    Number of pages6
    Volume2
    Publication statusPublished - 2004
    Event2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) - Sendai
    Duration: 2004 Sep 282004 Oct 2

    Other

    Other2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    CitySendai
    Period04/9/2804/10/2

    Fingerprint

    Evolutionary algorithms
    Robots
    Communication
    Learning algorithms
    Learning systems
    Genes
    Experiments
    Fatigue of materials
    Sensors

    ASJC Scopus subject areas

    • Engineering(all)

    Cite this

    Suga, Y., Ogata, T., & Sugano, S. (2004). Acquisition of reactive motion for communication robots using interactive EC. In 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (Vol. 2, pp. 1198-1203)

    Acquisition of reactive motion for communication robots using interactive EC. / Suga, Yuki; Ogata, Tetsuya; Sugano, Shigeki.

    2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Vol. 2 2004. p. 1198-1203.

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

    Suga, Y, Ogata, T & Sugano, S 2004, Acquisition of reactive motion for communication robots using interactive EC. in 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). vol. 2, pp. 1198-1203, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sendai, 04/9/28.
    Suga Y, Ogata T, Sugano S. Acquisition of reactive motion for communication robots using interactive EC. In 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Vol. 2. 2004. p. 1198-1203
    Suga, Yuki ; Ogata, Tetsuya ; Sugano, Shigeki. / Acquisition of reactive motion for communication robots using interactive EC. 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Vol. 2 2004. pp. 1198-1203
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