Natural Walking Reference Generation Based on Double-Link LIPM Gait Planning Algorithm

Tzuu-Hseng S. Li, Ya Fang Ho, Ping Huan Kuo, Yan Ting Ye, Li Fan Wu

研究成果: Article

6 引文 斯高帕斯(Scopus)

摘要

In this paper, an enhanced linear inverted pendulum model (LIPM) and a gait planning algorithm are proposed. The LIPM is a widely used concept for gait reference generation, and it provides a simplified model for planning a center of mass trajectory when given a proper zero moment point trajectory. However, one of the assumptions of LIPM is that the legs of the robot are massless, so that the mass of the supporting leg can be neglected for simplification, and it conflicts with the mass distributions of human beings and most humanoid robots. Hence, this paper proposes a double-link LIPM (DLIPM) to eliminate the conflict about mass distribution. In addition, a gait planning algorithm is proposed for natural walking reference generation. In the simulation results, the proposed method is implemented based on a model of a teen-sized humanoid robot named David Junior. The simulation results validate the feasibility and practicability of the proposed method. Moreover, comparisons between conventional LIPM and DLIPM demonstrate the performance of the proposed DLIPM method. Eventually, the proposed method is implemented on David Junior for the weight-lifting event in the 2015 FIRA RoboWorld Cup, an event which David Junior won first place.

原文English
文章編號7855742
頁(從 - 到)2459-2469
頁數11
期刊IEEE Access
5
DOIs
出版狀態Published - 2017 一月 1

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

指紋 深入研究「Natural Walking Reference Generation Based on Double-Link LIPM Gait Planning Algorithm」主題。共同形成了獨特的指紋。

  • 引用此