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Tip Position Control of a Robot Manipulator using Visual Markers

영상표식 기반의 로봇 매니퓰레이터 끝점 위치 제어

  • 임세준 (인하대학교 전기공학부) ;
  • 임현 (서울대학교 기계항공공학부) ;
  • 이영삼 (인하대학교 전기공학부)
  • Received : 2010.05.07
  • Accepted : 2010.06.27
  • Published : 2010.09.01

Abstract

This paper proposes tip position control system which uses a visual marker to determine the tip position of a robot manipulator. The main idea of this paper is to introduce visual marker for the tracking control of a robot manipulator. Existing researches utilize stationary markers to get pattern information from them. Unlike existing researches, we introduce visual markers to get the coordinates of them in addition to their pattern information. Markers need not be stationary and the extracted coordinate of markers are used as a reference trajectory for the tracking control of a robot manipulator. To build the proposed control scheme, we first obtain intrinsic parameters through camera calibration and evaluate their validity. Secondly, we present a procedure to obtain the relative coordinate of a visual marker with respect to a camera. Thirdly, we derive the equation for the kinematics of the SCORBOTER 4pc manipulator which we use for control of manipulator. Also, we provide a flow diagram of entire visual marker tracking system. The feasibility of the proposed scheme will be demonstrated through real experiments.

Keywords

References

  1. S. Hutchinson, G. D. Hager, and P. I. Corke, “A Tutorial on visual servo control,” IEEE Trans. On Robotics and Automation, vol. 12, no. 5, Oct. 1996.
  2. H. J. Lee, M. G. Park, and M. C. Lee, “Visual Servoing of a Mobile Manipulator Based on Stereo Vision,” ICCAS, Gyeongju, October 2003.
  3. 임현, 양지혁, 이영삼, 김진걸 “한 대의 카메라와 Fiducial 마커를 이용한 SLAM,” 제어.로봇.시스템학회 논문지, 제15권 제4호, pp. 353-364, 2009. https://doi.org/10.5302/J.ICROS.2009.15.4.353
  4. H. Kato and M. Billinghurst, “Marker tracking and hmd calibration for a video-based augmented reality conferencing system,” Proc. of the 2nd International Workshop on Augmented Reality (IWAR99), Sanfrancisco, USA, Oct. 1999.
  5. K. Ohara, T. Sugawara, J. H. Lee, T. Tomizawa, H. M. Do, X. Liang, Y. S. Kim, B. K. Kim, Y. Sumi, T. Tanikawa, H. Onda, and K. Ohba, “Visual marker for robot manipulation and its RTMiddleware component,” Advanced Robotics 22 , pp. 633-655, 2008 https://doi.org/10.1163/156855308X305254
  6. W. Daniel and S. Diester, “ARToolKitPlus for pose tracking on mobile devices,” Proc. of 12th Computer Vision Winter Workshop (CVWW’ 07), 2007.
  7. 지민석, 이영찬, 김진수, 이강웅, “비젼을 이용한 로봇 매니퓰레이터의 자세제어,” 전자공학회 논문지, 제43권 제1호, pp. 13-20, 2006.
  8. 신효필, 이종광, 강이석, “비전 센서를 이용한 유연한 로봇팔의 끝점 위치 측정,” 제어.자동화.시스템공학 논문지, 제6권 제8호, pp. 682-688, 2000.
  9. 이영찬, 지민석, 백중환, 이강웅, “비젼 시스템을 이용한 로봇 매니퓰레이터의 강인 제어기 설계,” 전자공학회 논문지, 제41권 제1호, pp. 9-16, 2004.
  10. 왕한흥, 장영희, 김종수, 이종붕, 한성현, “로봇 매니퓰레이터의 자세 보정을 위한 카메라 모델링,” 한국 공작 기계학회, 2002 춘계 학술대회 논문집, pp. 179-183, 2002.
  11. J. Kofman, X. Wu, T. J. Luu, and S. Verma, “Teleoperation of a robot manipulator using vision-based human-robot interface,” IEEE Transactions on industrial electronics, vol. 52, no. 5, October 2005.
  12. M. Fiala, “Artag, a fiducial marker system using digital techniques,” Proc. of the Computer Vision and Pattern Recognition (CVPR’05), 2005.
  13. H. Tanaka, T. Tomizawa, Y. Sumi, J. H. Lee, H. M. Do, Y. S. Kim, B. K. Kim, T. Tanikawa, H. Onda, and K. Ohba, “Visual marker system for control of flexible manipulator supporting daily living,” ICROS-SICE International Joint Conference 2009, pp. 1666-1670, August 2009.
  14. J. Heikkila and O. Silven, “A four-step camera calibration procedure with implicit image correction,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1106-1112, 1997.
  15. J. Denavit and R. S. Hartenberg, “A kinematic notation for lower-pair mechanisms based on matrices,” ASME Journal of Applied Mechanics, pp. 215-221, June 1955.