A Trajectory Generation Method for Humanoid Robots Walking: Optimal Force Pattern Method

被引:0
|
作者
Guo, Zuhua [1 ]
Zeng, Yi [1 ,2 ]
Meng, Cai [1 ]
机构
[1] Beihang Univ, Sch Astronaut, Beijing 100191, Peoples R China
[2] China Elect Technol Grp Corp, Res Inst 38, Hefei 230088, Peoples R China
关键词
D O I
10.1109/wrc-sara.2019.8931952
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
From the viewpoint of support force, a new gait planning method for Humanoid robots is discussed. A 3D force-pattern based inverted pendulum model (3D-FPBIPM) is built to generate the trajectory for humanoid walking. In the model, support force of leg of humanoid robots is defined by a parametric force pattern function. A nonlinear optimizer is used to search the parameters online for each step. With a series of optimal support force patterns, a stable COM trajectory at a given walking speed is generated by a Runge-Kutta solver. Stride period of the planned gait is very close to the test data and other researcher's result. The trajectory generated by this method is also compared with the one which is planned by the traditional linear inverted pendulum model. The results show that the proposed method can generate more natural and energy saving walking gait. Finally, the effectiveness of the proposed method is illustrated by simulation examples.
引用
收藏
页码:103 / 109
页数:7
相关论文
共 50 条
  • [1] A Walking Pattern Generation Method with Feedback and Feedforward Control for Humanoid Robots
    Hong, Seokmin
    Oh, Yonghwan
    Kim, Doik
    You, Bum-Jae
    2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2009, : 1078 - 1083
  • [2] Walking Pattern Generation Method with Feedforward and Feedback Control for Humanoid Robots
    Hong, Seokmin
    Oh, Yonghwan
    Kim, Doik
    Ra, Syungkwon
    You, Bum-Jae
    RO-MAN 2009: THE 18TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, VOLS 1 AND 2, 2009, : 1128 - 1133
  • [3] Walking pattern generation for Humanoid robots with LQR and feedforward control method
    Hong, Seokmin
    Oh, Yonghwan
    Chang, Young-Hwan
    You, Bum-Jae
    IECON 2008: 34TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-5, PROCEEDINGS, 2008, : 1639 - 1644
  • [4] An omni-directional walking pattern generation method for humanoid robots with quartic polynomials
    Hong, Seokmin
    Oh, Yonghwan
    Chang, Young-Hwan
    You, Bum-Jae
    2007 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-9, 2007, : 4213 - +
  • [5] A generic walking pattern generation method for humanoid robot walking on the slopes
    Guo, Fayong
    Mei, Tao
    Ceccarelli, Marco
    Zhao, Ziyi
    Li, Tao
    Zhao, Jianghai
    INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2016, 43 (03): : 317 - 327
  • [6] Motion planning for walking pattern generation of humanoid robots
    Harada, Kensuke
    Hattori, Shizuko
    Hirukawa, Hirohisa
    Morisawa, Mitsuharu
    Kajita, Shuuji
    Yoshida, Eiichi
    2007 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-9, 2007, : 4233 - 4239
  • [7] Walking Trajectory Generation for Humanoid Robots with Compliant Joints: Experimentation with COMAN Humanoid
    Li, Zhibin
    Tsagarakis, Nikos G.
    Caldwell, Darwin G.
    2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2012, : 836 - 841
  • [8] Real-Time Walking Pattern Generation Method for Humanoid Robots by Combining Feedback and Feedforward Controller
    Hong, Seokmin
    Oh, Yonghwan
    Kim, Doik
    You, Bum-Jae
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2014, 61 (01) : 355 - 364
  • [9] A fast dynamically equilibrated walking trajectory generation method of humanoid robot
    Kagami, S
    Kitagawa, T
    Nishiwaki, K
    Sugihara, T
    Inaba, M
    Inoue, H
    AUTONOMOUS ROBOTS, 2002, 12 (01) : 71 - 82
  • [10] Design and Implementation of Fuzzy Policy Gradient Gait Learning Method for Walking Pattern Generation of Humanoid Robots
    Su, Yu-Te
    Chong, Kiah-Yang
    Li, Tzuu-Hseng S.
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2011, 13 (04) : 369 - 382