Jianyu Wang, Zhenzhou Shao, He Kang, Hongfa Zhao, G. Song, Yong Guan
{"title":"Inverse Kinematics of 6-DOF Robot Manipulator via Analytic Solution with Conformal Geometric Algebra","authors":"Jianyu Wang, Zhenzhou Shao, He Kang, Hongfa Zhao, G. Song, Yong Guan","doi":"10.1109/ROBIO.2018.8665317","DOIUrl":null,"url":null,"abstract":"This paper presents a new inverse kinematics algorithm of 6-DOF robot manipulator via the analytic solution with Conformal Geometric Algebra (CGA). To simplify the calculation, angles of joints 1, 5 and 6 are obtained using the analytic method. On the other hand, the remaining joint angles θ2, θ3 and θ4 are figured out by CGA which describes the geometric relationship intuitively. The proposed method is verified and simulated in Matlab and Rviz, respectively. Experimental results show the high accuracy of proposed approach. Moreover, it can be easily integrated in the motion planning of robot manipulator.","PeriodicalId":417415,"journal":{"name":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2018.8665317","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a new inverse kinematics algorithm of 6-DOF robot manipulator via the analytic solution with Conformal Geometric Algebra (CGA). To simplify the calculation, angles of joints 1, 5 and 6 are obtained using the analytic method. On the other hand, the remaining joint angles θ2, θ3 and θ4 are figured out by CGA which describes the geometric relationship intuitively. The proposed method is verified and simulated in Matlab and Rviz, respectively. Experimental results show the high accuracy of proposed approach. Moreover, it can be easily integrated in the motion planning of robot manipulator.