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

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Robot Control and Calibration

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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.

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Authors and Affiliations

  1. College of Computer and Information Science, Southwest University, Chongqing, Chong Qing, China

    Xin Luo

  2. School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, Chong Qing, China

    Zhibin Li

  3. Department of Computer Science, Lanzhou University, Lanzhou, Gansu, China

    Long Jin

  4. Faculty of Information Technology and Electrical Engineering and VTT-Technical Research Centre of Finland, University of Oulu, Oulu, Oulu, Finland

    Shuai Li

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  1. Xin Luo
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Luo, X., Li, Z., Jin, L., Li, S. (2023). A Regularization Ensemble Based on Levenberg–Marquardt Algorithm for Robot Calibration. In: Robot Control and Calibration. SpringerBriefs in Computer Science. Springer, Singapore. https://doi.org/10.1007/978-981-99-5766-8_5

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  • DOI: https://doi.org/10.1007/978-981-99-5766-8_5

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