A random error analysis method for serial robot

Hong Sheng Ding, Zhi Chen Huang*, Yong Jun Liu, Tie Fu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In order to analyze the errors of structure parameters for serial robot, an error analysis model was established by defining error twists on each joint based on screw theory. Then, a serial robot's random error analyzing method combined Monte Carlo method and screw theory was further presented which could be used in analyzing error probabilistic characteristics of the end effector of robot. Using Cartesian assembly robot as an example, the simulation experiment was finished in the platform of Matlab software, and the random error distribution of the end effector of Cartesian assembly robot in its workspace was drawn. The results show that the presented modeling method is intuitive and correct, and the resulting error probabilistic characteristics are a great help for improving the calibration precision and selecting the optimal working space.

Original languageEnglish
Pages (from-to)892-896
Number of pages5
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume34
Issue number9
Publication statusPublished - 1 Sept 2014

Keywords

  • Monte Carlo method
  • Random error
  • Screw theory
  • Serial robot

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