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A Study on the Effect of Weighting Matrix of Robot Vision Control Algorithm in Robot Point Placement Task

점 배치 작업 시 제시된 로봇 비젼 제어알고리즘의 가중행렬의 영향에 관한 연구

  • 손재경 (조선대학교 대학원 기계공학과) ;
  • 장완식 (조선대학교 기계공학과) ;
  • 성윤경 (조선대학교 기계공학과)
  • Received : 2011.11.01
  • Accepted : 2012.06.05
  • Published : 2012.09.01

Abstract

This paper is concerned with the application of the vision control algorithm with weighting matrix in robot point placement task. The proposed vision control algorithm involves four models, which are the robot kinematic model, vision system model, the parameter estimation scheme and robot joint angle estimation scheme. This proposed algorithm is to make the robot move actively, even if relative position between camera and robot, and camera's focal length are unknown. The parameter estimation scheme and joint angle estimation scheme in this proposed algorithm have form of nonlinear equation. In particular, the joint angle estimation model includes several restrictive conditions. For this study, the weighting matrix which gave various weighting near the target was applied to the parameter estimation scheme. Then, this study is to investigate how this change of the weighting matrix will affect the presented vision control algorithm. Finally, the effect of the weighting matrix of robot vision control algorithm is demonstrated experimentally by performing the robot point placement.

Keywords

References

  1. John, J. C., "Introduction to Robotics Mechanics and Control, 2nd ed.," Addison-Wesley, p. 84, 1989.
  2. Junkins, J. L., "An Introduction to Optimal Estimation of Dynamical Systems," Sijthoff and Noordhoff, pp. 29-33, 1978.
  3. David, F., Robert, P., and Roger, P., "Statistics," W. W. Norton, pp. 58-59, 1978.
  4. Kelly, R., Carelli, R., Nasisis, O., Kuchen, B., and Reyes, F., "Stable Visual Servoing of Camerainhand Robotics Systems," IEEE/ASME Trans. on Mechatronics, Vol. 5, No. 1, pp. 39-48, 2000. https://doi.org/10.1109/3516.828588
  5. Yoshihiro, T., Tasuo, K., and Hiroyuki, I., "Positioning-Control of Robot Manipulator Using Visual Sensor," Int. Conference on Control, Automation, Robotics, and Vision, pp. 894-898, 1996.
  6. Bacakoglu, H. and Kamel, M., "An Optimized Two- Step Camera Calibration Method," Proceedings of the 1997 IEEE International Conference on Robotics and Automation, pp. 1347-1352, 1997.
  7. Machiko, S. J. and Aggarwal, K., "Estimation of Position and Orientation from Image Sequence of a Circle," IEEE International Conference on Robotics and Automation, pp. 2252-2257, 1997.
  8. Hosoda, K., Kamado, M., and Asada, M., "Vision-Based Servoing Control for Legged Robots," Proc. of IEEE, pp. 3154-3159, 1997.
  9. John, T. F. and LEE, C. S. G., "Adaptive Image Feature Prediction and Control for Visual Tracking with a Hand-Eye Coordinated Camera," IEEE Trans., Vol. 20, No. 5, pp. 1172-1182, 1990.
  10. Jang, W. S., Kim, K. S., Kim, K. Y., and Ahn, H. C., "An Experimental Study on the Optimal Number of Cameras Used for Vision Control System," KSMTE, Vol. 13, No. 2, pp. 94-103, 2004.
  11. Min, K. U. and Jang, W. S., "An Experimental Study on the Optimal Arrangement of Cameras Used for the Robot's Vision Control Scheme," KSMTE, Vol. 19, No. 1, pp. 15-25, 2010.
  12. Son, J. K., Jang, W. S., and Min, K. U., "An experimental study on the effectiveness of robot vision control scheme in discontinuous robot's trajectory caused by obstacle," Proc. of KSPE Spring Conference, pp. 127-128, 2009.
  13. Son, J. K., "An experimental study on the practicality of vision control scheme used for robot's point placement task in discontinuous trajectory," M.Sc. Thesis, Department of Mechanical Engineering, Chosun University, 2010.