Vision-based 3-D object pick-And-place tasks of industrial manipulator

Guor Yieh Luo, Ming Yang Cheng, Chia Ling Chiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

When dealing with complicated tasks such as object pick-And-place, it is harder for robotic arms alone to complete them. One of the possible solutions to overcoming the aforementioned difficulties is to introduce machine vision into the robotic arm system. In this paper, the eye-To-hand camera configuration is adopted in the development of the vision-based automatic pick-And-place systems for 3-D objects. The visionbased automatic pick-And-place system developed in this paper consists of three main sections-calibration of machine vision system, object recognition, and transformations of object coordinates. Experimental results indicate that the vision-based automatic pick-And-place system developed in this paper is able to perform an automatic pick-And-place task for 3-D objects.

Original languageEnglish
Title of host publication2017 International Automatic Control Conference, CACS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
ISBN (Electronic)9781538639009
DOIs
Publication statusPublished - 2018 Feb 7
Event2017 International Automatic Control Conference, CACS 2017 - Pingtung, Taiwan
Duration: 2017 Nov 122017 Nov 15

Publication series

Name2017 International Automatic Control Conference, CACS 2017
Volume2017-November

Other

Other2017 International Automatic Control Conference, CACS 2017
CountryTaiwan
CityPingtung
Period17-11-1217-11-15

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Control and Optimization

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    Luo, G. Y., Cheng, M. Y., & Chiang, C. L. (2018). Vision-based 3-D object pick-And-place tasks of industrial manipulator. In 2017 International Automatic Control Conference, CACS 2017 (pp. 1-7). (2017 International Automatic Control Conference, CACS 2017; Vol. 2017-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CACS.2017.8284250