Natural Walking Trajectory Generator for Humanoid Robot Based on Three-Mass LIPFM

In this paper, a dynamic model named Three-mass Linear Inverted Pendulum plus Flywheel Model (TLIPFM) is proposed to approximate the walking motion of the humanoid robot. The mass distribution of the robot and the angular momentum of the robot are simultaneously considered to construct the dynamic m...

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Main Authors: Ching-Chang Wong, Sheng-Ru Xiao, Hisasuki Aoyama
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9300181/
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author Ching-Chang Wong
Sheng-Ru Xiao
Hisasuki Aoyama
author_facet Ching-Chang Wong
Sheng-Ru Xiao
Hisasuki Aoyama
author_sort Ching-Chang Wong
collection DOAJ
description In this paper, a dynamic model named Three-mass Linear Inverted Pendulum plus Flywheel Model (TLIPFM) is proposed to approximate the walking motion of the humanoid robot. The mass distribution of the robot and the angular momentum of the robot are simultaneously considered to construct the dynamic model. In the mass distribution of the robot, the overall robot is divided into three parts: 1) the whole upper body of the robot, 2) the thigh of the robot's support leg, and 3) the calf of the robot's support leg, and these three weights are considered to be three masses in the proposed TLIPFM. In the angular momentum of the robot, a flywheel joint is configured at the Center of Mass (CoM) of the robot to obtain the rotational torque of the robot in biped walking. In addition, a natural walking trajectory generator based on the TLIPFM and a moving Zero Moment Point (ZMP) reference is derived to generate ZMP trajectory, CoM trajectory, and foot trajectory in three-dimensional space to let the humanoid robot walk stably. In the experiment, some results are presented to illustrate that the proposed TLIPFM can effectively reduce the model error and the proposed TLIPFM-based walking trajectory generator makes the walking trajectories more natural and walking more stable. Moreover, the proposed method is implemented on a real small-sized humanoid robot to illustrate its feasibility and practicability for the real-time biped walking.
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spelling doaj.art-dd93bf12e08b4749bae662dc8009df6c2022-12-21T22:02:31ZengIEEEIEEE Access2169-35362020-01-01822815122816210.1109/ACCESS.2020.30461069300181Natural Walking Trajectory Generator for Humanoid Robot Based on Three-Mass LIPFMChing-Chang Wong0Sheng-Ru Xiao1https://orcid.org/0000-0003-3643-4962Hisasuki Aoyama2Department of Electrical and Computer Engineering, Tamkang University, New Taipei City, TaiwanDepartment of Electrical and Computer Engineering, Tamkang University, New Taipei City, TaiwanDepartment of Mechanical and Intelligent Systems Engineering, University of Electro-Communications, Tokyo, JapanIn this paper, a dynamic model named Three-mass Linear Inverted Pendulum plus Flywheel Model (TLIPFM) is proposed to approximate the walking motion of the humanoid robot. The mass distribution of the robot and the angular momentum of the robot are simultaneously considered to construct the dynamic model. In the mass distribution of the robot, the overall robot is divided into three parts: 1) the whole upper body of the robot, 2) the thigh of the robot's support leg, and 3) the calf of the robot's support leg, and these three weights are considered to be three masses in the proposed TLIPFM. In the angular momentum of the robot, a flywheel joint is configured at the Center of Mass (CoM) of the robot to obtain the rotational torque of the robot in biped walking. In addition, a natural walking trajectory generator based on the TLIPFM and a moving Zero Moment Point (ZMP) reference is derived to generate ZMP trajectory, CoM trajectory, and foot trajectory in three-dimensional space to let the humanoid robot walk stably. In the experiment, some results are presented to illustrate that the proposed TLIPFM can effectively reduce the model error and the proposed TLIPFM-based walking trajectory generator makes the walking trajectories more natural and walking more stable. Moreover, the proposed method is implemented on a real small-sized humanoid robot to illustrate its feasibility and practicability for the real-time biped walking.https://ieeexplore.ieee.org/document/9300181/Humanoid robotbiped walkinglinear inverted pendulum model (LIPM)zero moment point (ZMP)center of mass (CoM)
spellingShingle Ching-Chang Wong
Sheng-Ru Xiao
Hisasuki Aoyama
Natural Walking Trajectory Generator for Humanoid Robot Based on Three-Mass LIPFM
IEEE Access
Humanoid robot
biped walking
linear inverted pendulum model (LIPM)
zero moment point (ZMP)
center of mass (CoM)
title Natural Walking Trajectory Generator for Humanoid Robot Based on Three-Mass LIPFM
title_full Natural Walking Trajectory Generator for Humanoid Robot Based on Three-Mass LIPFM
title_fullStr Natural Walking Trajectory Generator for Humanoid Robot Based on Three-Mass LIPFM
title_full_unstemmed Natural Walking Trajectory Generator for Humanoid Robot Based on Three-Mass LIPFM
title_short Natural Walking Trajectory Generator for Humanoid Robot Based on Three-Mass LIPFM
title_sort natural walking trajectory generator for humanoid robot based on three mass lipfm
topic Humanoid robot
biped walking
linear inverted pendulum model (LIPM)
zero moment point (ZMP)
center of mass (CoM)
url https://ieeexplore.ieee.org/document/9300181/
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AT shengruxiao naturalwalkingtrajectorygeneratorforhumanoidrobotbasedonthreemasslipfm
AT hisasukiaoyama naturalwalkingtrajectorygeneratorforhumanoidrobotbasedonthreemasslipfm