{"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}
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.