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Titlebook: Robot Control and Calibration; Innovative Control S Xin Luo,Zhibin Li,Shuai Li Book 2023 The Editor(s) (if applicable) and The Author(s), u

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11#
發(fā)表于 2025-3-23 12:53:27 | 只看該作者
A Highly Accurate Calibrator Based on a Novel Variable Step-Size Levenberg-Marquardt Algorithm,M). Sect. . first discusses the research background for robot calibration, then Sect. . introduces the basic principles for an unscented Kalman filter and a variable step-size Levenberg-Marquardt algorithm. Furthermore, Sect. . presents extensive experiments on an ABB IRB120 industrial robot. Lastly
12#
發(fā)表于 2025-3-23 14:00:21 | 只看該作者
Book 2023rovides 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
13#
發(fā)表于 2025-3-23 19:59:25 | 只看該作者
2191-5768 calibration 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 accura978-981-99-5765-1978-981-99-5766-8Series ISSN 2191-5768 Series E-ISSN 2191-5776
14#
發(fā)表于 2025-3-23 23:16:22 | 只看該作者
15#
發(fā)表于 2025-3-24 05:55:49 | 只看該作者
16#
發(fā)表于 2025-3-24 06:48:37 | 只看該作者
Introduction,This chapter gives an introduction to robot control and robot calibration strategies, which includes the problem descriptions, recent work and the structure of this book.
17#
發(fā)表于 2025-3-24 12:50:26 | 只看該作者
Conclusion and Future Work,This chapter provides the conclusions of this book and some future research work. Section . presents the conclusion for this book, Section . gives future work for robot control and calibration.
18#
發(fā)表于 2025-3-24 16:46:20 | 只看該作者
Xin Luo,Zhibin Li,Shuai LiShows 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
19#
發(fā)表于 2025-3-24 19:55:44 | 只看該作者
SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/r/image/831037.jpg
20#
發(fā)表于 2025-3-25 03:03:32 | 只看該作者
https://doi.org/10.1007/978-981-99-5766-8Recurrent neural network; Robot kinematic model; Robot control; Robot calibration; Evolutionary computin
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