A Regularization Ensemble Based on Levenberg–Marquardt Algorithm for Robot Calibration

Xin Luo; Zhibin Li; Long Jin; Shuai Li

doi:10.1007/978-981-99-5766-8_5

A Regularization Ensemble Based on Levenberg–Marquardt Algorithm for Robot Calibration

Xin Luo^*, Zhibin Li, Long Jin, Shuai Li

^*Corresponding author for this work

BA56 Cognitive production industry

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review

Abstract

This chapter investigates six regularization schemes, such as L1, L2, dropout, elastic, log, and swish. Then, an efficient ensemble incorporates six regularizations to achieve high calibration accuracy. Firstly, Sect. 5.1 discuss the research background of robot calibration. In Sect. 5.2, we introduce six regularized robot calibration schemes and the principle of an ensemble. Then, Sect. 5.3 presents experiments for the proposed ensemble. Lastly, conclusions and future work are summarized in Sect. 5.4.

Original language	English
Title of host publication	Robot Control and Calibration
Subtitle of host publication	Innovative Control Schemes and Calibration Algorithms
Place of Publication	Singapore
Publisher	Springer
Pages	69-89
ISBN (Electronic)	978-981-99-5766-8
ISBN (Print)	978-981-99-5765-1
DOIs	https://doi.org/10.1007/978-981-99-5766-8_5
Publication status	Published - 2023
MoE publication type	A3 Part of a book or another research book

Publication series

Series	SpringerBriefs in Computer Science
Volume	Part F1465
ISSN	2191-5768

Keywords

Ensemble
Kinematic parameters
Levenberg-Marquardt algorithm
Overfitting
Regularization scheme

Access to Document

10.1007/978-981-99-5766-8_5

Cite this

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title = "A Regularization Ensemble Based on Levenberg–Marquardt Algorithm for Robot Calibration",

abstract = "This chapter investigates six regularization schemes, such as L1, L2, dropout, elastic, log, and swish. Then, an efficient ensemble incorporates six regularizations to achieve high calibration accuracy. Firstly, Sect. 5.1 discuss the research background of robot calibration. In Sect. 5.2, we introduce six regularized robot calibration schemes and the principle of an ensemble. Then, Sect. 5.3 presents experiments for the proposed ensemble. Lastly, conclusions and future work are summarized in Sect. 5.4.",

keywords = "Ensemble, Kinematic parameters, Levenberg-Marquardt algorithm, Overfitting, Regularization scheme",

author = "Xin Luo and Zhibin Li and Long Jin and Shuai Li",

note = "Shyai Li on externaali",

year = "2023",

doi = "10.1007/978-981-99-5766-8_5",

language = "English",

isbn = "978-981-99-5765-1",

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booktitle = "Robot Control and Calibration",

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A Regularization Ensemble Based on Levenberg–Marquardt Algorithm for Robot Calibration. / Luo, Xin; Li, Zhibin; Jin, Long et al.
Robot Control and Calibration: Innovative Control Schemes and Calibration Algorithms. Singapore: Springer, 2023. p. 69-89 (SpringerBriefs in Computer Science, Vol. Part F1465).

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review

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T1 - A Regularization Ensemble Based on Levenberg–Marquardt Algorithm for Robot Calibration

AU - Luo, Xin

AU - Li, Zhibin

AU - Jin, Long

AU - Li, Shuai

N1 - Shyai Li on externaali

PY - 2023

Y1 - 2023

N2 - This chapter investigates six regularization schemes, such as L1, L2, dropout, elastic, log, and swish. Then, an efficient ensemble incorporates six regularizations to achieve high calibration accuracy. Firstly, Sect. 5.1 discuss the research background of robot calibration. In Sect. 5.2, we introduce six regularized robot calibration schemes and the principle of an ensemble. Then, Sect. 5.3 presents experiments for the proposed ensemble. Lastly, conclusions and future work are summarized in Sect. 5.4.

AB - This chapter investigates six regularization schemes, such as L1, L2, dropout, elastic, log, and swish. Then, an efficient ensemble incorporates six regularizations to achieve high calibration accuracy. Firstly, Sect. 5.1 discuss the research background of robot calibration. In Sect. 5.2, we introduce six regularized robot calibration schemes and the principle of an ensemble. Then, Sect. 5.3 presents experiments for the proposed ensemble. Lastly, conclusions and future work are summarized in Sect. 5.4.

KW - Ensemble

KW - Kinematic parameters

KW - Levenberg-Marquardt algorithm

KW - Overfitting

KW - Regularization scheme

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BT - Robot Control and Calibration

PB - Springer

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ER -

A Regularization Ensemble Based on Levenberg–Marquardt Algorithm for Robot Calibration

Abstract

Publication series

Keywords

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Robot Control and Calibration: Innovative Control Schemes and Calibration Algorithms

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