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A Study of the Attenuation in the Properties of Haptic Devices at the Limit of the Workspace

  • Jose San Martin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5622)

Abstract

In the context of the optimization in virtual reality systems involving a haptic device, this paper introduces a correction in the formula that defined the performance of the device near the boundary of its workspace. We introduce too corrections to an index based on the Manipulability which takes in account the frequency with which each zone of the application workspace is visited during the simulation process, in order to help the designer for obtaining the best positioning of the device respect to the virtual environment. We demonstrate the new formula studying three different tasks to be accomplished. Finally we look for this best positioning analyzing not only the displacement but the different orientations we can introduce in the virtual environment in order to take advantage of the best zones of the workspace in terms of Manipulability.

Keywords

Virtual reality Haptic interface Manipulability Mechanical Performance Optimal designing 

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References

  1. 1.
    Yoshikawa, T.: Foundations of Robotics: Analysis and Control. MIT Press, Cambridge (1990)Google Scholar
  2. 2.
    Yoshikawa, T.: Manipulability of Robotic Mechanisms. The International Journal of Robotics research (1985)Google Scholar
  3. 3.
    San Martin, J., Trivino, G.: Measurement of Suitability of a Haptic Device in a Virtual Reality System. In: Proc. 2nd International Conference on Virtual Reality HCII 2007 (July 2007)Google Scholar
  4. 4.
    Pham, H.H., Chen, I.-M.: Optimal Synthesis for Workspace and Manipulability of Parallel Flexure Mechanism. In: Proceeding of the 11th World Congress in Mechanism and Machine Science, Tianjin, China, August 18-21 (2003)Google Scholar
  5. 5.
    San Martin, J., Trivino, G.: Mechanical Design of a Minimal Invasive Surgery Trainer Using the Manipulability as Measure of Optimization. In: IEEE International Conference on Mechatronics ICM 2007, Kumamoto, Japan (May 2007)Google Scholar
  6. 6.
    Murray, R.M., Li, Z., Sastry, S.S.: A mathematical introduction to robotic manipulation. CRC Press, Inc., Boca Raton (1994)zbMATHGoogle Scholar
  7. 7.
    Yoshikawa, T.: Manipulability and redundancy control of robotic mechanisms. In: Proceedings of IEEE International Conference on Robotics and Automation, March 1985, vol. 2, pp. 1004–1009 (1985)Google Scholar
  8. 8.
    Cavusoglu, M.C., Feygin, D., Tendick, F.: A Critical Study of the Mechanical and Electrical Properties of the PHANToM Haptic Interface and Improvements for High Performance Control. Teleoperators and Virtual Environments 11(6), 555–568 (2002)CrossRefGoogle Scholar
  9. 9.
    Yamamoto, Y., Yun, X.: Unified analysis on mobility and manipulability of mobilemanipulators. In: Proceedings. 1999 IEEE International Conference on Robotics and Automation, Detroit, vol. 2, pp. 1200–1206 (1999)Google Scholar
  10. 10.
    Yokokohji, Y., Yoshikawa, T.: Guide of master arms considering operator dynamics. Journal of dynamic systems, measurement, and control 115(2A), 253–260 (1993)CrossRefzbMATHGoogle Scholar
  11. 11.
    Sobh, T.M., Toundykov, D.Y.: Optimizing the tasks at hand (robotic manipulators). Robotics & Automation Magazine 11(2), 78–85 (2004)CrossRefGoogle Scholar
  12. 12.
    Alqasemi, R.M., McCaffrey, E.J., Edwards, K.D., Dubey, R.V.: Analysis, evaluation and development of wheelchair-mounted robotic arms. In: 9th International Conference on Rehabilitation Robotics, ICORR 2005, June 28-July 1, 2005, pp. 469–472 (2005)Google Scholar
  13. 13.
    Guilamo, L., Kuffner, J., Nishiwaki, K., Kagami, S.: Manipulability optimization for trajectory generation. In: Proceedings 2006 IEEE International Conference on Robotics and Automation, ICRA 2006, May 15-19, 2006, pp. 2017–2022 (2006)Google Scholar
  14. 14.
    Masuda, T., Fujiwara, M., Kato, N., Arai, T.: Mechanism Configuration Evaluation of a Linear-Actuated Parallel Mechanism Using Manipulability. In: Proceedings of the 2002 IEEE International Conference on Robotics 8 Automation, Washington, DC (May 2002)Google Scholar
  15. 15.
    Bayle, B., Fourquet, J.-Y., Renaud, M.: Manipulability of Wheeled Mobile Manipulators: Application to Motion Generation. The International Journal of Robotics Research 22(7-8), 565–581 (2003)CrossRefGoogle Scholar
  16. 16.
    Kirkpatrick, S., Gelatt Jr., C.D., Vecchi, M.P.: Optimization by Simulated Annealing. Science (220), 671–680 (May 13, 1983)Google Scholar
  17. 17.
    Aragon, C.R., Johnson, D.S., McGeoch, L.A., Shevon, C.: Optimization by Simulated Annealing: An Experimental Evaluation; Part II, Graph Coloring and Number Partitioning. Operations Research 39(3), 378–406 (1991)CrossRefzbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jose San Martin
    • 1
  1. 1.Universidad Rey Juan CarlosMostolesSpain

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