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Objects Tracking of the Mobile Robot Using the Hybrid Visual Servoing

혼합 비주얼 서보잉을 통한 모바일 로봇의 물체 추종

  • Park, Kang-IL (Department of Interdisciplinary Program in Robotics, Pusan National University) ;
  • Woo, Chang-Jun (Department of Electronic and Electric and Computer Engineering, Pusan National University) ;
  • Lee, Jangmyung (Department of Electronic Engineering, Pusan National University)
  • 박강일 (부산대학교 로봇관련협동과정) ;
  • 우창준 (부산대학교 전자전기컴퓨터공학과) ;
  • 이장명 (부산대학교 전자공학과)
  • Received : 2014.12.09
  • Accepted : 2015.03.02
  • Published : 2015.08.01

Abstract

This paper proposes a hybrid visual servoing algorithm for the object tracking by a mobile robot with the stereo camera. The mobile robot with the stereo camera performs an object recognition and object tracking using the SIFT and CAMSHIFT algorithms for the hybrid visual servoing. The CAMSHIFT algorithm using stereo camera images has been used to obtain the three-dimensional position and orientation of the mobile robot. With the hybrid visual servoing, a stable balance control has been realized by a control system which calculates a desired angle of the center of gravity whose location depends on variations of link rotation angles of the manipulator. A PID controller algorithm has adopted in this research for the control of the manipulator since the algorithm is simple to design and it does not require unnecessary complex dynamics. To demonstrate the control performance of the hybrid visual servoing, real experiments are performed using the mobile manipulator system developed for this research.

Keywords

References

  1. Concept and Trend of the Intelligent Robots, Electronics Information Center, 2005.
  2. S. H. Kim, "The robot vision technology trend for the intelligent mobile robot," Journal of Korea Robotics Society (in Korean), vol. 9, no. 1, pp. 26-35, Feb. 2012.
  3. S. Hutchinson, G. Hager, and P. Corke, "A tutorial on visual servo control," IEEE Trans. of Robotics and Automation, vol. 12, no. 5, pp. 651-670, Oct. 1996. https://doi.org/10.1109/70.538972
  4. E. Malis, "Visual servoing invariant to changes in camera intrinsic parameters," IEEE Trans. of Robotics and Automation, vol. 20, no. 1, pp. 72-81, Feb. 2004. https://doi.org/10.1109/TRA.2003.820847
  5. P. I. Corke and S. A. Hutchinson, "A new hybrid image- based visual servo control scheme," Proc. of IEEE Conf. Decision and Control, vol. 3, pp. 2521-2526, Sydney Australia, Dec. 2000.
  6. L. Freda and G. Oriolo, "Vision-based interception of a moving target with a nonholonomic mobile robot," International Journal of Robotics and Autonomous Systems, vol. 55, no. 6, pp. 419-432, Jun. 2007. https://doi.org/10.1016/j.robot.2007.02.001
  7. H. W. Lee, J. W. Kwon, S. K. Hong, and D. Y. Chwa, "Target tracking of the wheeled mobile robot using the combined visual servo control method," Journal of Korean Institute of Electrical Engineers (in Korean), vol. 60, no. 6, pp. 1245-1254, Jun. 2011. https://doi.org/10.5370/KIEE.2011.60.6.1245
  8. Y. Wang, H. Lang, and C. W. de Silva, "A hybrid visual servo controller for robust grasping by wheeled mobile robots," IEEE/ASME Trans. of Mechatronics, vol. 15, no. 5, pp. 757-769, Oct. 2010. https://doi.org/10.1109/TMECH.2009.2034740
  9. E. M. P. Low, I. R. Manchester, and A. V. Savkin, "A biologically inspired method for vision-based docking of wheeled mobile robots," International Journal of Robotics and Autonomous systems, vol. 55, no. 10, pp. 769-784, Oct. 2007. https://doi.org/10.1016/j.robot.2007.04.002
  10. R. Siegwart, and IR. Nourbakhsh, Introduction to Autonomous Mobile Robots, The MIT Press, 2004.
  11. S. G. Lee, H. W. Lee, D. K. Chwa, and S. K. Hong, "Vision system based stabilization control of mobile robot via marker recognition," Proc. of KIEE Summer Conference 2010, Pusan, Korea, pp. 1730-1731, Jul. 2010.
  12. S. G. Lee, J. W. Kwon, S. K. Hong, and D. K. Chwa, "Posture stabilization control for mobile robot using marker recognition and hybrid visual servoing," Journal of Korean Institute of Electrical Engineers (in Korean), vol. 60, no. 8, pp. 1577-1585, Aug. 2011. https://doi.org/10.5370/KIEE.2011.60.8.1577
  13. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," International Journal of Computer Vision, vol. 60, no. 2, pp. 91-100, Nov. 2004. https://doi.org/10.1023/B:VISI.0000029664.99615.94
  14. G. R. Bradski, "Computer vision face tracking for use in a perceptual user interface," International Journal of Intel Technology, vol. 2, no. 2, pp. 12-26, 1998.
  15. V. Lippiello, B. Siciliano, and L. Vilani, "Position based visual servoing in industrial multirobot cells using a hybrid camera configuration," IEEE Trans. of Robotics, vol. 23, no. 1, pp. 73-86, Feb. 2007. https://doi.org/10.1109/TRO.2006.886832
  16. R. Horaud, F. Dornaika, and B. Espiau, "Visually guided object grasping," IEEE Trans. of Robotics and Automation, vol. 14, no. 4, Aug. 1998.
  17. P. I. Corke and S. A. Hutchinson, "A new partitioned approach to image based visual servo control," IEEE Trans. Robotics and Automation, vol. 17, no. 4, pp. 507-515, Aug. 2001. https://doi.org/10.1109/70.954764
  18. F. Chaumette, "Potential problems of stability and convergence in image-based and position-based visual servoing," International Journal of The Confluence of Vision and Control, vol. 237, pp. 66-78, Sep. 2007.
  19. E. Trucco and A. Verri, Introductory Techniques for 3-D Computer Vision, Prentice Hall, 1998.
  20. C. O. Kim, S. Choi, J. N. Cheong, G. W. Yang, and H. S. Kim, "Robust position tracking for position-based visual servoing and its application to dual-arm task," Journal of Korea Robotics Society (in Korean), vol. 2, no. 2, pp. 129-136, Jun. 2007.
  21. D. H. Kim and M. J. Chung, "A switched visual servoing technique robust to camera calibration errors for reaching the desired location following a straight line in 3-D space," Journal of Korea Robotics Society (in Korean), vol. 1, no. 2, pp. 125-134, Dec. 2006.
  22. J. W. An, M. G. Kim, and J. M. Lee, "Control of a unicycle robot using a non-model based controller," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 20, no. 5, pp. 537-542, May 2014. https://doi.org/10.5302/J.ICROS.2014.13.0003
  23. J. M. Lee and J. M. Lee, "A study on the visual servoing of autonomous mobile inverted pendulum," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 19, no. 3, pp. 240-247, Mar. 2013. https://doi.org/10.5302/J.ICROS.2013.12.1851