书目名称 | Robot Control and Calibration |
副标题 | Innovative Control S |
编辑 | Xin Luo,Zhibin Li,Shuai Li |
视频video | |
概述 | Shows how robot calibration and control technology can achieve high scalability in real industrial applications.Proposes control schemes and calibration algorithms that can effectively improve robot p |
丛书名称 | SpringerBriefs in Computer Science |
图书封面 |  |
描述 | .This book mainly shows readers how to calibrate and control robots. In this regard, it proposes three control schemes: an error-summation enhanced Newton algorithm for model predictive control; RNN for solving perturbed time-varying underdetermined linear systems; and a new joint-drift-free scheme aided with projected ZNN, which can effectively improve robot control accuracy. Moreover, the book develops four advanced algorithms for robot calibration – Levenberg-Marquarelt with diversified regularizations; improved covariance matrix adaptive evolution strategy; quadratic interpolated beetle antennae search algorithm; and a novel variable step-size Levenberg-Marquardt algorithm – which can effectively enhance robot positioning accuracy...In addition, it is exceedingly difficult for experts in other fields to conduct robot arm calibration studies without calibration data. Thus, this book provides a publicly available dataset to assist researchers from other fields in conductingcalibration experiments and validating their ideas. The book also discusses six regularization schemes based on its robot error models, i.e., L1, L2, dropout, elastic, log, and swish. Robots’ positioning accura |
出版日期 | Book 2023 |
关键词 | Recurrent neural network; Robot kinematic model; Robot control; Robot calibration; Evolutionary computin |
版次 | 1 |
doi | https://doi.org/10.1007/978-981-99-5766-8 |
isbn_softcover | 978-981-99-5765-1 |
isbn_ebook | 978-981-99-5766-8Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
issn_series | 2191-5768 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |