A Smooth and Efficient Gait Planning for Humanoids Based on Human ZMP

Tianqi Yang, Weimin Zhang, Qiang Huang*, Xuechao Chen, Zhanguo Yu, Libo Meng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Based on the ZMP (zero moment point) trajectory and the walking data of human, a new method is proposed to improve the robot walking smoothness as well as to save energy. Firstly, a measurement system is designed to measure the data of humans including the ZMP trajectory and the waist trajectory. Secondly, a new gait planning method which includes presetting the allowable ZMP region is proposed through analyzing human data. Thirdly, the new planning method is applied to the multi-link model based gait planning method. Finally, the feasibility of the proposed method is verified by simulation and experiments.

Original languageEnglish
Pages (from-to)751-758
Number of pages8
JournalJiqiren/Robot
Volume39
Issue number5
DOIs
Publication statusPublished - 1 Sept 2017

Keywords

  • Allowable ZMP (zero moment point) region
  • Gait planning
  • Multi-link model
  • ZMP planning algorithm

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