Structural design and stiffness matching control of bionic variable stiffness joint for human–robot collaboration

Xiuli Zhang , Liqun Huang , Hao Niu
{"title":"Structural design and stiffness matching control of bionic variable stiffness joint for human–robot collaboration","authors":"Xiuli Zhang ,&nbsp;Liqun Huang ,&nbsp;Hao Niu","doi":"10.1016/j.birob.2022.100084","DOIUrl":null,"url":null,"abstract":"<div><p>The physical compliance of interaction is an important requirement for safe and efficient collaboration between robots and humans, and the realization of human–robot compliance requires robot joints with variable stiffness similar to those of human joints. In this study, based on the tissue structure and driving principle of the human arm muscle ligament, a robot joint with variable stiffness is designed, consisting of an elastic belt and serial elastic actuator in parallel. The variable stiffness of the joint is realized by adjusting the tension length of the elastic belt. Surface electromyography (sEMG) signals of the human arm are used as the characterization quantity of joint stiffness to establish the pseudo-stiffness model of the elbow joint. The stiffness of the robot joints is adjusted in real-time to match the human arm stiffness based on the changes in sEMG signals of the human arm during operation. Real-time compliant interaction of human–robot collaboration is realized based on an end stiffness matching strategy. Additionally, to verify the effectiveness of the human joint stiffness matching-based compliance control strategy, a human–robot cooperative lifting experiment was designed. The bionic variable stiffness joint shows good stiffness adjustment, and the human–robot joint stiffness matching strategy based on human sEMG signals can improve the effectiveness and comfort of human–robot collaboration.</p></div>","PeriodicalId":100184,"journal":{"name":"Biomimetic Intelligence and Robotics","volume":"3 1","pages":"Article 100084"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomimetic Intelligence and Robotics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667379722000444","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The physical compliance of interaction is an important requirement for safe and efficient collaboration between robots and humans, and the realization of human–robot compliance requires robot joints with variable stiffness similar to those of human joints. In this study, based on the tissue structure and driving principle of the human arm muscle ligament, a robot joint with variable stiffness is designed, consisting of an elastic belt and serial elastic actuator in parallel. The variable stiffness of the joint is realized by adjusting the tension length of the elastic belt. Surface electromyography (sEMG) signals of the human arm are used as the characterization quantity of joint stiffness to establish the pseudo-stiffness model of the elbow joint. The stiffness of the robot joints is adjusted in real-time to match the human arm stiffness based on the changes in sEMG signals of the human arm during operation. Real-time compliant interaction of human–robot collaboration is realized based on an end stiffness matching strategy. Additionally, to verify the effectiveness of the human joint stiffness matching-based compliance control strategy, a human–robot cooperative lifting experiment was designed. The bionic variable stiffness joint shows good stiffness adjustment, and the human–robot joint stiffness matching strategy based on human sEMG signals can improve the effectiveness and comfort of human–robot collaboration.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
面向人机协作的仿生变刚度关节结构设计与刚度匹配控制
交互的物理顺应性是机器人和人类之间安全高效协作的重要要求,而实现人-机器人的顺应性需要具有与人类关节相似的可变刚度的机器人关节。本研究基于人类手臂肌肉韧带的组织结构和驱动原理,设计了一种变刚度机器人关节,该关节由弹性带和串行弹性致动器并联组成。接头的变刚度是通过调节弹性带的张力长度来实现的。利用人体手臂的表面肌电信号作为关节刚度的表征量,建立了肘关节的伪刚度模型。基于操作过程中人体手臂表面肌电信号的变化,实时调整机器人关节的刚度,以匹配人体手臂的刚度。基于端部刚度匹配策略,实现了人机协同的实时柔顺交互。此外,为了验证基于人-关节刚度匹配的柔顺控制策略的有效性,设计了人-机器人协同提升实验。仿生变刚度关节具有良好的刚度调节性能,基于人表面肌电信号的人机关节刚度匹配策略可以提高人机协作的有效性和舒适性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
1.80
自引率
0.00%
发文量
0
期刊最新文献
An improved path planning and tracking control method for planetary exploration rovers with traversable tolerance Human-in-the-loop transfer learning in collision avoidance of autonomous robots Forward solution algorithm of Fracture reduction robots based on Newton-Genetic algorithm SoftGrasp: Adaptive grasping for dexterous hand based on multimodal imitation learning Fuzzy adaptive variable impedance control on deformable shield of defecation smart care robot
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1