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Re-configurable Control Scheme for Guiding Telerobotics

  • Adrián Mora
  • Antonio Barrientos
Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 31)

Summary

In telerobotics two control modes are usually implemented for guiding: position control and rate control. Numerous works have been carried out comparing them. This chapter introduces a new re-configurable system for guiding robots. It is based on the fact that guiding performance depends directly on the task requirement. The system presented is able to change its control scheme during task execution in order to accommodate itself to the task requirement at all times. An architecture for the re-configurable system is proposed. It has been experimentally implemented and tested. Its performance is compared to conventional force-position and force-rate bilateral control schemes. Findings show that the re-configurable system obtains the best results in all analysed variables.

Keywords

Completion Time Position Control Task Execution Transition Algorithm Insertion Force 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    H. Baier, M. Buss, and G. Schmidt. Control Mode Switching for Teledrilling Based on a Hybrid System Model. In Proc. of Advanced Intelligent Mechatronics, AIM 97, 1997.Google Scholar
  2. 2.
    O. Ben-Porat, M. Shosham, and J. Meyer. Control Design and Task Performance in Endoscopic Teleoperation. Presence: Teleoperators and Virtual Environments, 9:256–267, 2000.CrossRefGoogle Scholar
  3. 3.
    Box G.E.P, W.G. Hunter, and J.S. Hunter. Statistics for Experimenters, An introduction to Design, Data Analysis, and Model Building. John Willey and Sons, Inc., 1996.Google Scholar
  4. 4.
    M. Buss and G. Schmidt. Hybrid System Behavior Specification for Multiple Robotic Mechanics. In Proc. of 1996 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, 1996.Google Scholar
  5. 5.
    H. Das, M. Zak, W.S. Kim, A.K. Bejczy, and P.S. Schenker. Operator Performance with Alternative Manual Control Modes in Teleoperation. Presence: Teleoperators and Virtual Environments, 1:201–217, 1992.Google Scholar
  6. 6.
    G. Hirzinger and P.H. Ho. Hytec: The cornell hybrid technology tool. Lecture Notes in Computer Science 999: Hycrid Systems II. Springer 265–293, 1995.Google Scholar
  7. 7.
    A. Kazi. Operator Performance in Surgical Telemanipulation. Presence: Teleoperators and Virtual Environments, 10:495–510, 2001.CrossRefGoogle Scholar
  8. 8.
    W.S. Kim, F. Tendick, R.S. Ellis, and L.W. Stark. A Comparison of Position Control and Rate Control for Telemanipuations with Consideration of Manipulator System Dynamics. IEEE Journal of Robotics and Automation, 3:426–436, 1987.CrossRefGoogle Scholar
  9. 9.
    W-t. Lo, Y. Liu, I.H. Elhajj, N. Xi, Y. Wang, and T. Fukuda. Cooperative Teleoperation of a Multirobot System with Force Reflection via Internet. IEEE/ASME Transactions on Mechatronics, 9:661–670, 2004.CrossRefGoogle Scholar
  10. 10.
    A. Mora and A. Barrientos. Functional Factors in Telemanipulation System: Effects of System Bandwidth in Task Performance. In Proc. of the Mechatronics and Robotics, 2004Google Scholar
  11. 11.
    A. Mora and A. Barrientos. Platform for experimentation with Tele-Robotics systems. In Proc. of 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2002, 2:1632–1637, 2002.CrossRefGoogle Scholar
  12. 12.
    Z. Nichol, Y. Liu, P. Suchyta, M. Prokos, A. Goradia, and N. Xi. Super-Media Enhanced Internet-Based Real-Time Teleoperation. In Proc. of Hands-On International Mechantronics and Automation Conference, 2005.Google Scholar
  13. 13.
    T. Sato and S. Harai. MEISTER: A Model Enhanced Intelligent and Skiful Teleoperation Robot Systems. In Robotics Research-The Fourth International Symposium-The MIT Press, 1998Google Scholar
  14. 14.
    S.E. Saculdean, M. Zhu, W-H. Zhu, and K. Hastrudi-Zaad. Transparent Bilateral Teleoperation under Position and Rate Control. The International Journal of Robotics Research, 19:1185–1202, 2000.CrossRefGoogle Scholar
  15. 15.
    T. B. Sheridan. Telerobotics, Automation, Control and Human Supervisory Control. MIT Press. Cambridge, Massachusetts, 1992.Google Scholar
  16. 16.
    Y. Yokokohji, A. Ogawa, H. Hasanume, and T. Yoshikawa. Operation Modes for Cooperating with Autonomous Functions in Intelligent Teleoperation Systems. In Proc. of IEEE International Conference on Robotics and Automation, 3:510–515, 1993.Google Scholar
  17. 17.
    W.K. Yoon, S. Tachihara, Y. Tsumaki, and M. Uchiyama. Evaluation of the Different Master Device Approaches for a Model-Based Space Teleoperation System. In Proc of 10th International Conference on Advanced Robotics, 2001.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Adrián Mora
    • 1
  • Antonio Barrientos
    • 1
  1. 1.Dpto. Automática, Ing. Electrónica e Inf. IndustrialUniversidad Politécnica de MadridMadrid

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