两足步态控制方法综述

IF 2.5 Q2 ENGINEERING, INDUSTRIAL
Chenghao Hu, Sicheng Xie, Liang Gao, Shengyu Lu, Jingyuan Li
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引用次数: 0

摘要

由于仿人机器人的多关节非线性结构以及机器人与环境的频繁交互,两足步态控制一直是一个非常具有挑战性的问题。为了实现稳定、稳健的两足行走,步态控制方法的设计应考虑机器人建模、步态稳定性和环境适应性等多个方面。本文介绍了两足步态的一般描述和相应的评价指标。此外,现有的两足步态控制方法分为基于模型的步态、基于稳定性准则的步态和基于学习策略的步态,并进行了全面的综述。最后,介绍了两足步态控制存在的挑战和发展趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An overview on bipedal gait control methods

An overview on bipedal gait control methods

Bipedal gait control has always been a very challenging issue due to the multi-joint and non-linear structure of humanoid robots and frequent robot–environment interactions. To realise stable and robust bipedal walking, many aspects including robot modelling, gait stability and environmental adaptivity should be considered to design the gait control method. In this paper, a general description of bipedal gait and the corresponding evaluation indicators are introduced. Moreover, the existing bipedal gait control methods are classified into model-based gait, stability criterion-based gait and learning strategy-based gait and a comprehensive review is conducted. Finally, the existing challenges and development trends of bipedal gait control are presented.

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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
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