Clustering of Humanoid Robot Motions Executed in Response to Touch

  • Fransiska Basoeki
  • Fabio Dalla Libera
  • Emanuele Menegatti
  • Enrico Pagello
  • Hiroshi Ishiguro
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 302)

Abstract

We perform a study on responses that should be performed by robots when touched by humans. To study the kinds of robot responses in general, there is a need for clustering similar responses. We present the use of Multiple correspondence analysis (MCA) and hierarchical clustering method as a way of clustering different humanoid robot postures. MCA is commonly used to analyze data with discrete variables. Since clustering solely by MCA was impractical for our application, hierarchical clustering method was performed to aid the direct inspection of the robot response clusters.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Fransiska Basoeki
    • 1
  • Fabio Dalla Libera
    • 1
    • 2
  • Emanuele Menegatti
    • 3
  • Enrico Pagello
    • 3
  • Hiroshi Ishiguro
    • 1
  1. 1.Department of Systems InnovationGraduate School of Engineering Science, Osaka UniversityOsakaJapan
  2. 2.JSPS Postdoctoral Research FellowOsakaJapan
  3. 3.Department of Information EngineeringUniversity of PadovaPadovaItaly

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