Serial Robot Kinematic Calibration Using a Novel Linear Finite Screw Deviation Model

IF 4.6 2区 计算机科学 Q2 ROBOTICS
Jaehyung Kim;Min Cheol Lee
{"title":"Serial Robot Kinematic Calibration Using a Novel Linear Finite Screw Deviation Model","authors":"Jaehyung Kim;Min Cheol Lee","doi":"10.1109/LRA.2024.3480521","DOIUrl":null,"url":null,"abstract":"This letter introduces a novel method for calibrating serial robots using the Linearized Finite Screw Deviation (LFSD) model, aiming to minimize errors within the robot's workspace with a few end-effector postures. In contrast to prior studies that require several end-effector posture measurements, our proposed method presents a more resource-efficient approach suitable for practical applications. The proposed LFSD model stands out by enabling the identification of axis deviations with significantly fewer end-effector points compared to previous studies. This reduction in measurement points not only enhances applicability but also reduces the potential possibilities of noise arising from end-effector measurements. Moreover, the method's simple affine structure extends its applicability to the calibration of redundant robots. To validate the effectiveness of our proposed method, simulations and experiments with wire-encoder-based stereotactic devices were conducted on serial robots with five and six degrees of freedom.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"9 12","pages":"11433-11440"},"PeriodicalIF":4.6000,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10716461","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Robotics and Automation Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10716461/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0

Abstract

This letter introduces a novel method for calibrating serial robots using the Linearized Finite Screw Deviation (LFSD) model, aiming to minimize errors within the robot's workspace with a few end-effector postures. In contrast to prior studies that require several end-effector posture measurements, our proposed method presents a more resource-efficient approach suitable for practical applications. The proposed LFSD model stands out by enabling the identification of axis deviations with significantly fewer end-effector points compared to previous studies. This reduction in measurement points not only enhances applicability but also reduces the potential possibilities of noise arising from end-effector measurements. Moreover, the method's simple affine structure extends its applicability to the calibration of redundant robots. To validate the effectiveness of our proposed method, simulations and experiments with wire-encoder-based stereotactic devices were conducted on serial robots with five and six degrees of freedom.
使用新型线性有限螺杆偏差模型进行串行机器人运动校准
这封信介绍了一种使用线性化有限螺杆偏差(LFSD)模型校准串行机器人的新方法,旨在通过几个末端执行器姿态将机器人工作空间内的误差降至最低。与之前需要测量多个末端执行器姿态的研究相比,我们提出的方法更节省资源,适合实际应用。与之前的研究相比,我们提出的 LFSD 模型能够以更少的末端执行器测量点识别轴线偏差。测量点的减少不仅提高了适用性,还降低了末端执行器测量可能产生的噪声。此外,该方法的简单仿射结构将其适用性扩展到冗余机器人的校准。为了验证我们提出的方法的有效性,我们在具有五个和六个自由度的串行机器人上对基于线编码器的立体定向设备进行了模拟和实验。
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
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
×
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