Bolting robot assistance system using image processing

Yung Hak Mo, Byung Wook Woo, Yun Geun Choe, Jung Min Park, Myo Taeg Lim

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

5 Citations (Scopus)

Abstract

The Bolting robot assistance system prevents operator to face dangerous situations. Bolting robot assistance system consists of bolting robot control system and top-view supervisory system. In order to control a bolting robot, Camshift algorithm and circular Hough transform are used. To estimate location of bolt hole, circular Hough transform is used. In order to track a bolt hole, Meanshift and Camshift are used. Camshift operates on color image represented by probability point and applies a non-parametric gradient density called Meanshift algorithm to re-center its operating window. By setting region to search a bolt hole, the algorithm will track the location of the bolt hole. In order to make top-view supervisory system, four cameras are installed at left, right, front and back of the robot. Each image from the camera is used to make the top-view image after correcting distortion. This paper proposes the image processing algorithm which is suitable for top-view supervisory system.

Original languageEnglish
Title of host publicationICCAS 2010 - International Conference on Control, Automation and Systems
Pages2342-2345
Number of pages4
Publication statusPublished - 2010
EventInternational Conference on Control, Automation and Systems, ICCAS 2010 - Gyeonggi-do, Korea, Republic of
Duration: 2010 Oct 272010 Oct 30

Publication series

NameICCAS 2010 - International Conference on Control, Automation and Systems

Other

OtherInternational Conference on Control, Automation and Systems, ICCAS 2010
Country/TerritoryKorea, Republic of
CityGyeonggi-do
Period10/10/2710/10/30

Keywords

  • Camshift
  • Circular hough transform
  • Image processing
  • Visual servo

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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