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Journal of Applied Sciences

Year: 2009 | Volume: 9 | Issue: 2 | Page No.: 278-286
Research Article

Tele-Visual Servoing of Robotic Mamipulators; Design, Implementation and Technical Issues

I. Hassanzadeh
Research Laboratory of Robotics, Department of Control Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
H. Jabbari Asl
Research Laboratory of Robotics, Department of Control Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
In this study, a new architecture for tele-visual servoing of a robotic manipulator is presented. An overview of methods employed for controlling robotic manipulators using a camera is illustrated. Image-based and position-based approaches are considered. Matlab®, Simulink® and xPC Target® toolbox are used to design a novel user-friendly toolkit called Tele-Visual Servoing Toolkit (TViST) for tele-visual servoing of robotic manipulators. TViST has hardware in the loop (HIL) property, i.e., simulation and implementation of the system are performed in the same environment. Stability analysis of visual servoing systems in presence of time delay is discussed by Lyapunov theorem. Furthermore, effects of robot dynamic on performance of the system are evaluated. In terms of low level control, proportional and H-infinity controllers are implemented as well. As a case study, a 5DOF Gryphon manipulator is considered. Simulations for various mentioned matters are done to validate the theoretical issues. Experimental results for the manipulator employing a virtual camera and a real camera are presented to illustrate and verified the practical performance.
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References

  1. Hager, G.D., 1998. X-vision: A portable substrate for real-time vision applications. Int. J. Comput. Vision Image Understand., 69: 23-37.
    CrossRefDirect Link
  2. Hung, Y.S. and H.T. Ho, 1999. A kalman filter approach to direct depth estimation incorporating surface structure. IEEE Trans. Pattern Anal. Mach. Intell., 21: 570-575.
    CrossRefDirect Link
  3. Hutchinson, S., G.D. Hager and P.I. Corke, 1996. A tutorial on visual servo control. IEEE Trans. Robot. Automat., 12: 651-670.
    CrossRefDirect Link
  4. Loyd, J., M. Parker and R. McClain, 1988. Extending the RCCL programming environment to multiple robots and processors. Proceeding of the International Conference Robotics and Automation, April 24-29, 1988, Philadelphia, PA., pp: 465-469.
    CrossRefDirect Link
  5. Malis, E., F. Chaumette and S. Boudet, 1999. 2-1/2-D Visual Servoing. IEEE Trans. Robot. Autom., 15: 238-250.
    CrossRefDirect Link
  6. Marchand, E., 1999. Visp: A software environment for eye-in-hand visual servoing. Proceedings of the International Conference on Robotics and Automation, ICRA, October 10, 1999, Detroit, Michigan, pp: 3224-3229.
    CrossRefDirect Link
  7. Marey, M. and F. Chaumette, 2008. Analysis of classical and new visual servoing control laws. Proceeding of the International Conference of Robotics and Automation, March 19-23, 2008, Pasadena, CA., USA., pp: 3244-3249.
    CrossRef
  8. Oberkampf, D., D.F. DeMenthon and L.S. Davis, 1993. Iterative pose estimation using coplanar points. Proceeding of the International Conference of Computer Vision and Pattern Recognition, June 15-17, 1993, New York, USA., pp: 626-627.
    CrossRefDirect Link
  9. Roberts, J.M., P.I. Corke, R.J. Kirkham, F. Pennerath and G.J. Winstanley, 1999. A real-time software architecture for robotics and automation. Proceeding of the International Conference of Robotics and Automation, May 10-15, 1999, Detroit, MI, USA., pp: 1158-1163.
    CrossRefDirect Link
  10. Sanderson A.C., L.E. Weiss and C.P. Neuman, 1987. Dynamic sensor-based control of robots with visual feedback. IEEE Trans. Robot. Automat. RA, 3: 404-417.
    CrossRef
  11. Spong, M.W., S. Hutchinson and M. Vidyasagar, 2005. Robot Modeling and Control. John Wiley and Sons. http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0471649902.html
  12. Zhang, J., R. Lumia and J. Wood, 2003. Delay dependent stability limits in high performance real-time visual servoing systems. Proceedings of the International Conference Intelligent Robots and Systems, October 27-31, 2003, Albuquerque, NM., USA., pp: 485-491.
    CrossRefDirect Link
  13. Chaumette, F. and S. Hutchinson, 2006. Visual servoing control. I. Basic approaches. IEEE Robot. Autom. Mag., 13: 82-90.
    CrossRef

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