Image-Based Visual Servoing Control of a SCARA Robot

  • Han, Sung-Hyun (Division of mechanical Engineering and Automation, Kyungnam University) ;
  • Lee, Man-Hyung (School of Mechanical Engineering, Pusan National University) ;
  • Hashimoto, Hideki (Institute of Industrial Science, University of Tokyo, Japan)
  • 발행 : 2000.07.01

초록

In this paper, we present a new approach to visual feedback control using image-based visual servoing with stereo vision. In order to control the position and orientation of a robot with respect to an object, a new technique is proposed using binocular stereo vision. The stereo vision enables us to calculate an exact image Jacobian not only around a desired location but also at other locations. The suggested technique can guide a robot manipulator to the desired location without providing a priori knowledge such as the relative distance to the desired location or the model of an object even when the initial positioning error is large. This paper describes a model of stereo vision and how to generate feedback commands. The performance of the proposed visual servoing system is illustrated by experimental results and compared with conventional control methods for an assembly robot.

키워드

참고문헌

  1. Allen, P. K., Toshimi, B. and Timcenko, A., 1991, 'Real-Time Visual Servoing,' In Proceeding of the IEEE International Conference on Robotics and Automation, pp. 851-856 https://doi.org/10.1109/ROBOT.1991.131694
  2. Bernard, E., Francois, C. and Patrick, R., 1992, 'A new Approach to Visual Servoing in Robotics,' IEEE Transactions on Robotics and Automation, pp. 313-326 https://doi.org/10.1109/70.143350
  3. Chaumette, F., Rives, P. and Espiau, B., 1991, 'Positioning of a Robot with Respoect to an Object, Tracking It and Estimating Its Velocity by Visual Servoing,' In Proceedings of the IEEE International Conference on Robotics and Automation, pp. 2248-2253 https://doi.org/10.1109/ROBOT.1991.131965
  4. Han, S. H., 1996, 'Implementation of Robust Adaptive Control for Robotic Manipulator Using TMS320C30,' KSME Journal. Vol. 10, No. 4, pp. 413-422
  5. Hashimoto, K., Kimoto, T. Edbine, T. and Kimura, H., 1991, 'Manipulator Control with Image-Based Visual Servo,' In Proceedings of IEEE International Conference on Robotics and Automation, pp. 2267 - 2272 https://doi.org/10.1109/ROBOT.1991.131968
  6. Hashimoto, K., Edbine, T. and Kimura, H., 1992, 'Dynamic Visual Feedback Control for a Hand-Eye Manipulator,' In Proceedings of the IEEE / RSJ International Conference on Intelligent Robots and Systems, pp. 1863-1868
  7. Hager, G., Hutchinson, S. and Corke, P. I., 1996, 'A Tutorial on Visual Servo Control,' IEEE Trans. Robotics & Automation, Vol. 12, No. 5, pp. 651-670 https://doi.org/10.1109/70.538972
  8. Sundareswaran, V., Bouthemy, P. and Chaumette, F., 1996, 'Exploiting Image Motion for Active Vision in a Visual Servoing Framework,' International Journal of Robotics Research. Vol. 15, No. 6, pp. 629-645 https://doi.org/10.1177/027836499601500607
  9. Weiss, L. E., Sanderson, A. C. and Neuman, C. P., 1987, 'Dynamic Sensor-Based Control of Robots with Visual Feedback,' IEEE Journal of Robotics and Automation, pp. 404-417