避免关节极限的加权最小范数与梯度投影相结合的方法

S. Park, W. Chung
{"title":"避免关节极限的加权最小范数与梯度投影相结合的方法","authors":"S. Park, W. Chung","doi":"10.1109/URAI.2011.6146022","DOIUrl":null,"url":null,"abstract":"This paper proposes the combined method of weighted least norm (WLN) and gradient projection (GP) for avoiding joint limit. WLN has the limitation of lower manipulability. Also GP has lack of reliability. Taking the advantages of both methods, we combined two methods and also performed numerical simulation. The simulation result shows the advantages of both methods.","PeriodicalId":385925,"journal":{"name":"2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Combined method of weighted least norm and gradient projection for avoiding joint limit\",\"authors\":\"S. Park, W. Chung\",\"doi\":\"10.1109/URAI.2011.6146022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes the combined method of weighted least norm (WLN) and gradient projection (GP) for avoiding joint limit. WLN has the limitation of lower manipulability. Also GP has lack of reliability. Taking the advantages of both methods, we combined two methods and also performed numerical simulation. The simulation result shows the advantages of both methods.\",\"PeriodicalId\":385925,\"journal\":{\"name\":\"2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)\",\"volume\":\"134 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/URAI.2011.6146022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URAI.2011.6146022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

提出了加权最小范数(WLN)和梯度投影(GP)相结合的避免联合极限的方法。WLN具有可操作性较低的局限性。GP也缺乏可靠性。利用两种方法的优点,我们将两种方法结合起来,并进行了数值模拟。仿真结果表明了两种方法的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combined method of weighted least norm and gradient projection for avoiding joint limit
This paper proposes the combined method of weighted least norm (WLN) and gradient projection (GP) for avoiding joint limit. WLN has the limitation of lower manipulability. Also GP has lack of reliability. Taking the advantages of both methods, we combined two methods and also performed numerical simulation. The simulation result shows the advantages of both methods.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信