Dynamic human motion mapping and balance control of a humanoid robot

Dan Bee Lee, Jung Yup Kim

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This paper describes the dynamic motion mapping from the human to a humanoid robot with different size, weight, and joint structure, and the balance control for stably performing the motion. To simplify the motion capture process, we used only a KINECT sensor to obtain the human motion data, and derived the modified motion data, which is suitable for humanoid robot size through kinematic post-processing. The dynamic stability of the obtained robot motion is analyzed in terms of the zero moment point (ZMP), and the motion is finally modified by searching unstable motion sections and correcting them using the preview control based on an inverted pendulum model. Online balancing control based on the capture point (CP) was additionally carried out to ensure the dynamic stability when the final robot motion was applied to the humanoid robot. Finally, the performance of the proposed algorithm was verified through the dynamic simulator Webots and Robotis-OP model.

Original languageEnglish
Pages (from-to)905-916
Number of pages12
JournalTransactions of the Korean Society of Mechanical Engineers, A
Volume42
Issue number10
DOIs
StatePublished - Oct 2018

Keywords

  • Balancing Control
  • Humanoid Robot
  • Motion Mapping

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