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Parameterized gait pattern generator based on linear inverted pendulum model with natural ZMP references

Published online by Cambridge University Press:  09 September 2016

Ya-Fang Ho ,
Tzuu-Hseng S. Li ,
Ping-Huan Kuo  and
Yan-Ting Ye
Ya-Fang Ho
Affiliation:
Department of Electrical Engineering, aiRobots Laboratory, National Cheng Kung University, Tainan 70101, Taiwan e-mail: [email protected], [email protected], [email protected], [email protected]
Tzuu-Hseng S. Li
Affiliation:
Department of Electrical Engineering, aiRobots Laboratory, National Cheng Kung University, Tainan 70101, Taiwan e-mail: [email protected], [email protected], [email protected], [email protected]
Ping-Huan Kuo
Affiliation:
Department of Electrical Engineering, aiRobots Laboratory, National Cheng Kung University, Tainan 70101, Taiwan e-mail: [email protected], [email protected], [email protected], [email protected]
Yan-Ting Ye
Affiliation:
Department of Electrical Engineering, aiRobots Laboratory, National Cheng Kung University, Tainan 70101, Taiwan e-mail: [email protected], [email protected], [email protected], [email protected]
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Abstract

This paper presents a parameterized gait generator based on linear inverted pendulum model (LIPM) theory, which allows users to generate a natural gait pattern with desired step sizes. Five types of zero moment point (ZMP) components are proposed for formulating a natural ZMP reference, where ZMP moves continuously during single support phases instead of staying at a fixed point in the sagittal and lateral plane. The corresponding center of mass (CoM) trajectories for these components are derived by LIPM theory. To generate a parameterized gait pattern with user-defined parameters, a gait planning algorithm is proposed, which determines related coefficients and boundary conditions of the CoM trajectory for each step. The proposed parameterized gait generator also provides a concept for users to generate gait patterns with self-defined ZMP references by using different components. Finally, the feasibility of the proposed method is validated by the experimental results with a teen-sized humanoid robot, David, which won first place in the sprint event at the 20th Federation of International Robot-soccer Association (FIRA) RoboWorld Cup.

Type
Review Article
Information
The Knowledge Engineering Review , Volume 32 , 2017 , e3
Copyright
© Cambridge University Press, 2017 

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