动力下外骨骼机器人建模与步态生成

Zhaoqin Peng, Guowei Ma, Maidan Luo
{"title":"动力下外骨骼机器人建模与步态生成","authors":"Zhaoqin Peng, Guowei Ma, Maidan Luo","doi":"10.1109/ICIEA.2017.8283131","DOIUrl":null,"url":null,"abstract":"Exoskeleton robot system is a wearable mechanical device that enhances the power of wearer in various situations, and it has potential to improve human quality of life. In paper a lower exoskeleton system is modeled, and the forward and inverse kinematic are analyzed. On the other hand, we discuss the gait generating and use the zero moment point (ZMP) theory to analyze stability. At last, simulations are carried out to validate the proposed model and gait generating algorithm.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modeling and gait generation of powered lower exoskeleton robot\",\"authors\":\"Zhaoqin Peng, Guowei Ma, Maidan Luo\",\"doi\":\"10.1109/ICIEA.2017.8283131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Exoskeleton robot system is a wearable mechanical device that enhances the power of wearer in various situations, and it has potential to improve human quality of life. In paper a lower exoskeleton system is modeled, and the forward and inverse kinematic are analyzed. On the other hand, we discuss the gait generating and use the zero moment point (ZMP) theory to analyze stability. At last, simulations are carried out to validate the proposed model and gait generating algorithm.\",\"PeriodicalId\":443463,\"journal\":{\"name\":\"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA.2017.8283131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2017.8283131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

外骨骼机器人系统是一种可穿戴的机械装置,可以增强佩戴者在各种情况下的能力,具有提高人类生活质量的潜力。本文对一个下外骨骼系统进行了建模,并进行了正运动学和逆运动学分析。另一方面,我们讨论了步态的生成,并利用零力矩点理论分析了步态的稳定性。最后通过仿真验证了所提模型和步态生成算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Modeling and gait generation of powered lower exoskeleton robot
Exoskeleton robot system is a wearable mechanical device that enhances the power of wearer in various situations, and it has potential to improve human quality of life. In paper a lower exoskeleton system is modeled, and the forward and inverse kinematic are analyzed. On the other hand, we discuss the gait generating and use the zero moment point (ZMP) theory to analyze stability. At last, simulations are carried out to validate the proposed model and gait generating algorithm.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An evolutionary algorithm with 2-D encoding for image segmentation A neural network based place recognition technique for a crowded indoor environment Internet of Things (IoT) in E-commerce: For people with disabilities Predictive analytics for detecting sensor failure using autoregressive integrated moving average model Energy-controlled optimization algorithm for rechargeable unmanned aerial vehicle network
×
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