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Online Running-Gait Generation for Bipedal Robots with Smooth State Switching and Accurate Speed Tracking

Smooth state switching and accurate speed tracking are important for the stability and reactivity of bipedal robots when running. However, previous studies have rarely been able to synthesize these two capabilities online. In this paper, we present an online running-gait generator for bipedal robots...

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Detalles Bibliográficos
Autores principales: Meng, Xiang, Yu, Zhangguo, Chen, Xuechao, Huang, Zelin, Dong, Chencheng, Meng, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046754/
https://www.ncbi.nlm.nih.gov/pubmed/36975344
http://dx.doi.org/10.3390/biomimetics8010114
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author Meng, Xiang
Yu, Zhangguo
Chen, Xuechao
Huang, Zelin
Dong, Chencheng
Meng, Fei
author_facet Meng, Xiang
Yu, Zhangguo
Chen, Xuechao
Huang, Zelin
Dong, Chencheng
Meng, Fei
author_sort Meng, Xiang
collection PubMed
description Smooth state switching and accurate speed tracking are important for the stability and reactivity of bipedal robots when running. However, previous studies have rarely been able to synthesize these two capabilities online. In this paper, we present an online running-gait generator for bipedal robots that allows for smooth state switching and accurate speed tracking. Considering a fluctuating height nature and computational expediency, the robot is represented by a simplified variable-height inverted-pendulum (VHIP) model. In order to achieve smooth state switching at the beginning and end of running, a segmented zero moment point (ZMP) trajectory optimization is proposed to automatically provide a feasible and smooth center-of-mass (CoM) trajectory that enables the robot to stably start or stop running at the given speed. To accurately track online the desired speed during running, we propose an iterative algorithm to compute target footholds, which allows for the robot to follow the interactive desired speed after the next two steps. Lastly, a numerical experiment and the simulation of online variable speed running were performed with position-controlled bipedal robot BHR7P, and the results verified the effectiveness of the proposed methods.
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spelling pubmed-100467542023-03-29 Online Running-Gait Generation for Bipedal Robots with Smooth State Switching and Accurate Speed Tracking Meng, Xiang Yu, Zhangguo Chen, Xuechao Huang, Zelin Dong, Chencheng Meng, Fei Biomimetics (Basel) Article Smooth state switching and accurate speed tracking are important for the stability and reactivity of bipedal robots when running. However, previous studies have rarely been able to synthesize these two capabilities online. In this paper, we present an online running-gait generator for bipedal robots that allows for smooth state switching and accurate speed tracking. Considering a fluctuating height nature and computational expediency, the robot is represented by a simplified variable-height inverted-pendulum (VHIP) model. In order to achieve smooth state switching at the beginning and end of running, a segmented zero moment point (ZMP) trajectory optimization is proposed to automatically provide a feasible and smooth center-of-mass (CoM) trajectory that enables the robot to stably start or stop running at the given speed. To accurately track online the desired speed during running, we propose an iterative algorithm to compute target footholds, which allows for the robot to follow the interactive desired speed after the next two steps. Lastly, a numerical experiment and the simulation of online variable speed running were performed with position-controlled bipedal robot BHR7P, and the results verified the effectiveness of the proposed methods. MDPI 2023-03-10 /pmc/articles/PMC10046754/ /pubmed/36975344 http://dx.doi.org/10.3390/biomimetics8010114 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Meng, Xiang
Yu, Zhangguo
Chen, Xuechao
Huang, Zelin
Dong, Chencheng
Meng, Fei
Online Running-Gait Generation for Bipedal Robots with Smooth State Switching and Accurate Speed Tracking
title Online Running-Gait Generation for Bipedal Robots with Smooth State Switching and Accurate Speed Tracking
title_full Online Running-Gait Generation for Bipedal Robots with Smooth State Switching and Accurate Speed Tracking
title_fullStr Online Running-Gait Generation for Bipedal Robots with Smooth State Switching and Accurate Speed Tracking
title_full_unstemmed Online Running-Gait Generation for Bipedal Robots with Smooth State Switching and Accurate Speed Tracking
title_short Online Running-Gait Generation for Bipedal Robots with Smooth State Switching and Accurate Speed Tracking
title_sort online running-gait generation for bipedal robots with smooth state switching and accurate speed tracking
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046754/
https://www.ncbi.nlm.nih.gov/pubmed/36975344
http://dx.doi.org/10.3390/biomimetics8010114
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