Statistical modeling of heterogeneous robotic assembly time with Weibull regression

Haomiao Yang; Mingyang Li; Jiali Han; Heping Chen; Biao Zhang; Jian Liu

doi:10.1109/ROBIO.2015.7418852

Statistical modeling of heterogeneous robotic assembly time with Weibull regression

Haomiao Yang, Mingyang Li, Jiali Han, Heping Chen, Biao Zhang, Jian Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

It is critical to model the relationships between robotic control parameters and the performance of the robotic systems. Existing modeling methods generally assume homogeneously distributed performance data. However, such homogeneity assumption may not be realistic in industrial practices. With explicit consideration of potential data heterogeneity, this paper proposes a Weibull regression and an EM algorithm to model the impacts of robotic control parameters on the time for robots to successfully complete a task. A numerical case study shows the high accuracy of the model parameter estimation. It demonstrates that the proposed method without homogeneity assumption is effective and can be applied in many real-world problems.

Original language	English (US)
Title of host publication	2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	710-714
Number of pages	5
ISBN (Electronic)	9781467396745
DOIs	https://doi.org/10.1109/ROBIO.2015.7418852
State	Published - 2015
Event	IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015 - Zhuhai, China Duration: Dec 6 2015 → Dec 9 2015

Publication series

Name	2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015

Other

Other	IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
Country/Territory	China
City	Zhuhai
Period	12/6/15 → 12/9/15

ASJC Scopus subject areas

Artificial Intelligence
Hardware and Architecture
Control and Systems Engineering

Access to Document

10.1109/ROBIO.2015.7418852

Cite this

Yang, H., Li, M., Han, J., Chen, H., Zhang, B., & Liu, J. (2015). Statistical modeling of heterogeneous robotic assembly time with Weibull regression. In 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015 (pp. 710-714). [7418852] (2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROBIO.2015.7418852

Statistical modeling of heterogeneous robotic assembly time with Weibull regression. / Yang, Haomiao; Li, Mingyang; Han, Jiali et al.

2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 710-714 7418852 (2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yang, H, Li, M, Han, J, Chen, H, Zhang, B & Liu, J 2015, Statistical modeling of heterogeneous robotic assembly time with Weibull regression. in 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015., 7418852, 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015, Institute of Electrical and Electronics Engineers Inc., pp. 710-714, IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015, Zhuhai, China, 12/6/15. https://doi.org/10.1109/ROBIO.2015.7418852

Yang H, Li M, Han J, Chen H, Zhang B, Liu J. Statistical modeling of heterogeneous robotic assembly time with Weibull regression. In 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 710-714. 7418852. (2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015). doi: 10.1109/ROBIO.2015.7418852

Yang, Haomiao ; Li, Mingyang ; Han, Jiali et al. / Statistical modeling of heterogeneous robotic assembly time with Weibull regression. 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 710-714 (2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015).

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abstract = "It is critical to model the relationships between robotic control parameters and the performance of the robotic systems. Existing modeling methods generally assume homogeneously distributed performance data. However, such homogeneity assumption may not be realistic in industrial practices. With explicit consideration of potential data heterogeneity, this paper proposes a Weibull regression and an EM algorithm to model the impacts of robotic control parameters on the time for robots to successfully complete a task. A numerical case study shows the high accuracy of the model parameter estimation. It demonstrates that the proposed method without homogeneity assumption is effective and can be applied in many real-world problems.",

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AB - It is critical to model the relationships between robotic control parameters and the performance of the robotic systems. Existing modeling methods generally assume homogeneously distributed performance data. However, such homogeneity assumption may not be realistic in industrial practices. With explicit consideration of potential data heterogeneity, this paper proposes a Weibull regression and an EM algorithm to model the impacts of robotic control parameters on the time for robots to successfully complete a task. A numerical case study shows the high accuracy of the model parameter estimation. It demonstrates that the proposed method without homogeneity assumption is effective and can be applied in many real-world problems.

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Statistical modeling of heterogeneous robotic assembly time with Weibull regression

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