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Variance Based Trajectory Segmentation in Object-Centric Coordinates

  • Iori YanokuraEmail author
  • Masaki Murooka
  • Shunichi Nozawa
  • Kei Okada
  • Masayuki Inaba
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 867)

Abstract

Human imitation is suggested as a useful method for humanoid robots achieving daily life tasks. When a person does demonstration such as housework many times, there is a property that the variance of the hand trajectory in object-centric coordinates becomes small at the stage of acting on the object. In this paper, we focused on human demonstration in object-centric coordinates, and proposed a task segmentation method and motion generation of a robot. In fact, we conducted a experiment (by taking a kettle and moving it to a cup) with the life-sized humanoid robot HRP-2.

Keywords

Humanoid robot Imitation learning Task segmentation Motion generation Change point detection 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Iori Yanokura
    • 1
    Email author
  • Masaki Murooka
    • 1
  • Shunichi Nozawa
    • 1
  • Kei Okada
    • 1
  • Masayuki Inaba
    • 1
  1. 1.Graduate School of Information Science and TechnologyThe University of TokyoBunkyo-city, TokyoJapan

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