{"title":"力矩约束下工业机器人最优轨迹规划的遗传/区间方法","authors":"C. Bianco, A. Piazzi","doi":"10.23919/ECC.1999.7099428","DOIUrl":null,"url":null,"abstract":"In this paper an optimal trajectory planning problem for industrial multi-link robots is considered. Using a cubic polynomial joint interpolation scheme, a minimum time trajectory under torque constraints is planned via a global optimization algorithm proposed by the authors. This proposed optimization method takes into account a rigid-link full dynamics model. Numerical results for a two-link arm, related to a 10 knots trajectory, are reported.","PeriodicalId":117668,"journal":{"name":"1999 European Control Conference (ECC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A genetic/interval approach to optimal trajectory planning of industrial robots under torque constraints\",\"authors\":\"C. Bianco, A. Piazzi\",\"doi\":\"10.23919/ECC.1999.7099428\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper an optimal trajectory planning problem for industrial multi-link robots is considered. Using a cubic polynomial joint interpolation scheme, a minimum time trajectory under torque constraints is planned via a global optimization algorithm proposed by the authors. This proposed optimization method takes into account a rigid-link full dynamics model. Numerical results for a two-link arm, related to a 10 knots trajectory, are reported.\",\"PeriodicalId\":117668,\"journal\":{\"name\":\"1999 European Control Conference (ECC)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 European Control Conference (ECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ECC.1999.7099428\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 European Control Conference (ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ECC.1999.7099428","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A genetic/interval approach to optimal trajectory planning of industrial robots under torque constraints
In this paper an optimal trajectory planning problem for industrial multi-link robots is considered. Using a cubic polynomial joint interpolation scheme, a minimum time trajectory under torque constraints is planned via a global optimization algorithm proposed by the authors. This proposed optimization method takes into account a rigid-link full dynamics model. Numerical results for a two-link arm, related to a 10 knots trajectory, are reported.