Assisted Multi Objectives Research Optimization of the Arm Type Robot’s Forces

A. Olaru, S. Olaru, Niculae Mihai, N. Šmídová
{"title":"Assisted Multi Objectives Research Optimization of the Arm Type Robot’s Forces","authors":"A. Olaru, S. Olaru, Niculae Mihai, N. Šmídová","doi":"10.7763/ijmo.2020.v10.748","DOIUrl":null,"url":null,"abstract":"Multi objectives optimization in Robotics is one of the most difficult problem to be solved. In the paper will be shown the matrix form of the resistive and active forces and the proper algorithm to establish the best case between all studied cases. The mathematical matrix form of the active forces equations was transposed to the virtual LabVIEW instrumentation with the goals to obtain some characteristics of the active forces in each joints of the robot variation vs. time in the case when were changed some functional or constructive parameters. By using proper algorithm was choose the best solution between the studied cases for down movements of the robot’s arm. The applied method, the algorithm and the proper virtual instrumentation solve one small part of the complex problems of the optimisation in robotics.","PeriodicalId":134487,"journal":{"name":"International Journal of Modeling and Optimization","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Modeling and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7763/ijmo.2020.v10.748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Multi objectives optimization in Robotics is one of the most difficult problem to be solved. In the paper will be shown the matrix form of the resistive and active forces and the proper algorithm to establish the best case between all studied cases. The mathematical matrix form of the active forces equations was transposed to the virtual LabVIEW instrumentation with the goals to obtain some characteristics of the active forces in each joints of the robot variation vs. time in the case when were changed some functional or constructive parameters. By using proper algorithm was choose the best solution between the studied cases for down movements of the robot’s arm. The applied method, the algorithm and the proper virtual instrumentation solve one small part of the complex problems of the optimisation in robotics.
臂型机器人力的辅助多目标研究优化
多目标优化是机器人技术中最难解决的问题之一。本文将给出电阻力和主动力的矩阵形式,以及在所有研究情况之间确定最佳情况的适当算法。将主动力方程的数学矩阵形式转置到虚拟LabVIEW仪器中,目的是在改变某些功能参数或构造参数的情况下,获得机器人各关节主动力随时间变化的一些特征。采用适当的算法,在研究的情况下选择机器人手臂向下运动的最优解。应用的方法、算法和适当的虚拟仪器解决了机器人优化中的一小部分复杂问题。
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 求助全文
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