An Improved Trajectory of a Bipedal Robot Walking along a Step with the Dual Length Linear Inverted Pendulum Method

被引:3
|
作者
Ali, Fariz [1 ]
Motoi, Naoki [1 ]
Kawamura, Atsuo [1 ]
机构
[1] Yokohama Natl Univ, Dept Elect & Comp Engn, Hodogaya Ku, 79-5,Tokiwadai, Yokohama, Kanagawa 2408501, Japan
关键词
motion control; humanoid robot; biped robot; trajectory planning; parameters design;
D O I
10.1541/ieejjia.2.121
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a new design method for obtaining walking parameters for a 3-D biped robot walking along a step. Many researchers concentrated only on the motion of climbing up or down stairs. However, this study investigates a strategy for realizing walking along a step. In conventional methods, the center of mass (CoM) moves up or down during walking in this situation because the pendulum height is kept at the same length for the left and right legs. Thus, extra work is required in order to bring the CoM up to higher ground. In this study, different pendulum heights are applied for the left and right legs and this method is referred to as the dual length linear inverted pendulum method (DLLIPM). However, when different pendulum heights are applied, it is quite difficult to obtain symmetrical and smooth pendulum motions. Furthermore, synchronization between the sagittal and lateral planes is not confirmed. Therefore, DLLIPM with the Newton-Raphson algorithm is proposed to solve these problems. The walking pattern for both planes is designed systematically, and synchronization between the planes is ensured. Finally, the proposed method is verified by simulation and experimental results.
引用
收藏
页码:121 / 131
页数:11
相关论文
共 20 条
  • [1] Ground Reaction Force Reduction of Biped Robot for Walking Along a Step with Dual Length Linear Inverted Pendulum Method
    Ali, Fariz
    Motoi, Naoki
    Heerden, Kirill Van
    Kawamura, Atsuo
    [J]. JOURNAL OF ROBOTICS AND MECHATRONICS, 2013, 25 (01) : 220 - 231
  • [2] 3-D Biped Robot Walking along Slope with Dual Length Linear Inverted Pendulum Method (DLLIPM)
    Ali, Fariz
    Shukor, Ahmad Zaki Hj
    Miskon, Muhammad Fahmi
    Nor, Mohd Khairi Mohamed
    Salim, Sani Irwan Md
    [J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2013, 10
  • [3] Improved method of step length estimation based on inverted pendulum model
    Zhao, Qi
    Zhang, Boxue
    Wang, Jingjing
    Feng, Wenquan
    Jia, Wenyan
    Sun, Mingui
    [J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2017, 13 (04):
  • [4] Reactive Balance Control in Walking based on a Bipedal Linear Inverted Pendulum Model
    Parietti, Federico
    Geyer, Hartmut
    [J]. 2011 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2011,
  • [5] An Improved Trajectory of Biped Robot for Walking along Slope
    Ali, Fariz
    Motoi, Naoki
    Kawamura, Atsuo
    [J]. 2012 12TH IEEE-RAS INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS (HUMANOIDS), 2012, : 140 - 145
  • [6] A New Control Method of Quadruped Robot Walking on Rough Terrain based on Linear Inverted Pendulum Method
    Li, Xin
    Gao, Junyao
    Huang, Qiang
    Lu, Haojian
    Xu, Zhe
    Liu, Yi
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS IEEE-ROBIO 2014, 2014, : 2410 - 2415
  • [7] Trajectory Planning of Flexible Walking for Biped Robots Using Linear Inverted Pendulum Model and Linear Pendulum Model
    Li, Long
    Xie, Zhongqu
    Luo, Xiang
    Li, Juanjuan
    [J]. SENSORS, 2021, 21 (04) : 1 - 26
  • [8] Anthropomorphic robot modelling with virtual height inverted pendulum approach in Simulink: step length and robot height influence on walking stability.
    Khusainov, Ramil
    Afanasyev, Ilya
    Magid, Evgeni
    [J]. PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS (ICAROB 2016), 2016, : 208 - 211
  • [9] Development of Humanoid Robot and Biped Walking Based on Linear Inverted Pendulum Model
    Lu, Yanzheng
    Lu, Zhiguo
    Yu, Yongji
    Zhao, Haibin
    Zhang, Yichen
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SAFETY FOR ROBOTICS (ISR), 2018, : 244 - 249
  • [10] Foot trajectory planning of bipedal walking robot based on a uniform acceleration method
    Jiang, Chunyu
    Gao, Junyao
    Shi, Xuanyang
    Tian, Dingkui
    Huang, Qiang
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND ITS SOCIAL IMPACTS (ARSO), 2019, : 251 - 255