Skip to main content

An object-oriented framework for event-driven dextrous manipulation

  • Chapter 2 Dextrous Manipulation
  • Conference paper
  • First Online:
Book cover Experimental Robotics IV

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 223))

Abstract

Multi-fingered robotic end-effectors have not yet made significant inroads into practical applications, partly due to the complexity of dextrous manipulation tasks. This paper develops an approach for assembling tasks from relatively simple phases which are punctuated by discrete events, signaling the transfer of operation to the next phase in a sequence. We examine the constraints active during phases, and develop methods for conducting smooth transitions between phases. Techniques for robust event detection in the presence of disturbances are also described. Experimental data is shown in support of the phase transition and event detection methods.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Brock, D. L., “A sensor based strategy for automatic robotic grasping,” Massachusetts Institute of Technology Ph.D. Thesis, Department of Mechanical Engineering, 1993.

    Google Scholar 

  2. Brockett, R. W., “On the computer control of movement,” IEEE Int'l. Conf. on Robotics and Automation, 1988.

    Google Scholar 

  3. Brockett, R. W., “Dynamical systems and their associated automata, in Systems and Networks, Mathematical Theory and Applications, Academie Verlag, Berlin, 1994.

    Google Scholar 

  4. Cao, T., and Sanderson, A. C., “A fuzzy petri net approach to reasoning about uncertainty in robotic systems,” IEEE Int'l. Conf. on Robotics and Automation, 1993.

    Google Scholar 

  5. Cutkosky, M. R., and Hyde, J. M., “Manipulation control with dynamic tactile sensing”, 6th International Symposium on Robotics Research, Hidden Valley, Pennsylvania, 1993.

    Google Scholar 

  6. Eberman, B., and Salisbury, J. K., “Application of change detection to dynamic contact sensing,” Int'l Journal of Robotics Research, v. 13, n. 5, pp. 369–394, 1994.

    Google Scholar 

  7. Hogan, N., “Impedance control: an approach to manipulation: parts I, II, and III,” ASME Journal of Dynamic Systems, Measurement, and Control, v. 107, pp. 1–24, 1985.

    Google Scholar 

  8. Howe, R. D., “Dynamic tactile sensing,” Ph.D. Thesis, Stanford University, October 1990.

    Google Scholar 

  9. Hyde, J. M., and Cutkosky, M. R., “Contact transition control: an experimental study,” IEEE Int'l. Conf. on Robotics and Automation, 1993.

    Google Scholar 

  10. Hyde, J. M., “A phase management framework for event-driven dextrous manipulation,” Stanford University Ph.D. thesis, 1995.

    Google Scholar 

  11. Johansson, R. S., and Westling, G., “Afferent signals during manipulative tasks in man,” In Franzen, O., Westman, J. (eds.): Information processing in the somatosensory system: Proceedings of an International Seminar at the Wenner-Gran Center, Macmillan. New York, 1991.

    Google Scholar 

  12. Katayama, Y., Nanjo, Y., and Shimokura, K., “Event-driven motion-module switching mechanism for robot motion control: concept and experiment,” ASME Journal on Dynamic Systems and Control, v. 55, n. 1, 1994.

    Google Scholar 

  13. “Unified approach for motion and force control of robot manipulators: the operational space formulation,” IEEE Journal of Robotics and Automation, v. 3, n. 1, pp. 43–53, 1987.

    Google Scholar 

  14. McCarragher, B. J., and Asada, H., “A discrete event approach to the control of robotic assembly tasks,” IEEE Int'l. Conf. on Robotics and Automation, 1993.

    Google Scholar 

  15. Nagai, K., and Yoshikawa, T., “Dynamic manipulation/grasping control of multi-fingered robot hands,” IEEE Int'l. Conf. on Robotics and Automation, 1993.

    Google Scholar 

  16. Schneider, S. A., “Experiments in the dynamic and strategic control of cooperating manipulators,” Stanford University Ph.D. thesis, 1989.

    Google Scholar 

  17. Sobh, T. M., and Bajcsy, R., “Autonomous observation under uncertainty,” IEEE Int'l. Conf. on Robotics and Automation, 1992.

    Google Scholar 

  18. Son, J. S., Monteverde, E. A., and Howe, R. D., “A tactile sensor for localizing transient events in manipulation,” IEEE Int'l. Conf. on Robotics and Automation, 1994.

    Google Scholar 

  19. Tremblay, M. R., and Cutkosky, M. R., “Estimating friction using incipient slip sensing during a manipulation task,” IEEE Int'l. Conf. on Robotics and Automation, 1993.

    Google Scholar 

  20. Tremblay, M. R., “Using multiple sensors and contextual information to detect events during a manipulation task,” Stanford University Ph.D. thesis, 1995.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Oussama Khatib J. Kenneth Salisbury

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag London Limited

About this paper

Cite this paper

Hyde, J.M., Tremblay, M.R., Cutkosky, M.R. (1997). An object-oriented framework for event-driven dextrous manipulation. In: Khatib, O., Salisbury, J.K. (eds) Experimental Robotics IV. Lecture Notes in Control and Information Sciences, vol 223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035196

Download citation

  • DOI: https://doi.org/10.1007/BFb0035196

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76133-4

  • Online ISBN: 978-3-540-40942-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics