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 proceedingConference contribution

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 languageEnglish (US)
Title of host publication2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages710-714
Number of pages5
ISBN (Electronic)9781467396745
DOIs
StatePublished - Jan 1 2015
EventIEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015 - Zhuhai, China
Duration: Dec 6 2015Dec 9 2015

Publication series

Name2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015

Other

OtherIEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
CountryChina
CityZhuhai
Period12/6/1512/9/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Control and Systems Engineering

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  • 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