• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Yu, Jianjun (Yu, Jianjun.) | Zhu, Ruihua (Zhu, Ruihua.) | Gong, Daoxiong (Gong, Daoxiong.) | Zhou, Miaoqiang (Zhou, Miaoqiang.) | Zuo, Guoyu (Zuo, Guoyu.)

Indexed by:

EI Scopus

Abstract:

In order to make the gait of a bipedal robot more human-like and to further improve the efficiency of energy utilisation, this paper combines preview control strategy and a knee extension strategy to design a bipedal robot gait planning method based on a variable centre-of-mass height hybrid strategy. The core idea is to achieve gait stability and coordination by controlling the robot's centre-of-mass height. Firstly, the horizontal centre-of-mass trajectory of the biped robot is generated based on Preview Control strategy with a constant centre-of-mass height; secondly, the vertical centre-of-mass trajectory is generated based on the knee joint extension strategy by trajectory planning of the robot's knee joint; finally, the horizontal and vertical centre-of-mass trajectories and foot point positions are combined by the inverse kinematics of the bipedal robot to plan the offline gait of the bipedal robot with variable centre-of-mass height. The experimental results show that the bipedal robot is able to walk smoothly with the planned gait, with better human-like characteristics, and requires less knee torque than bent knee walking mode with a constant centre of mass height, which improves energy efficiency. © 2023 IEEE.

Keyword:

Physiological models Energy efficiency Machine design Inverse kinematics Trajectories Joints (anatomy) Biped locomotion Robot programming

Author Community:

  • [ 1 ] [Yu, Jianjun]Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing; 100124, China
  • [ 2 ] [Zhu, Ruihua]Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing; 100124, China
  • [ 3 ] [Gong, Daoxiong]Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing; 100124, China
  • [ 4 ] [Zhou, Miaoqiang]Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing; 100124, China
  • [ 5 ] [Zuo, Guoyu]Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing; 100124, China

Reprint Author's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

Year: 2023

Page: 1149-1154

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

Affiliated Colleges:

Online/Total:723/10626785
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.