Skip to main content

Task-Oriented Approach to Simulate a Grasping Action Through Underactuated Haptic Devices

  • Conference paper
  • First Online:
Haptics: Neuroscience, Devices, Modeling, and Applications (EuroHaptics 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8619))

Abstract

Force rendering is important in underactuated haptic systems. Underactuation means that some force directions at the contacts cannot be rendered because of the lack of actuation. In this paper we propose to exploit the knowledge of the task to mitigate the effect of the underactuation. The simulation of a grasp is considered and two alternative algorithms are proposed to improve the sensitivity in the underactuated system. The basic idea is to exploit the actuated force direction, optimizing the force feedback according to the type of forces involved in the specific grasping task. These forces can be squeezing forces or forces able to move the grasped object. Experiments show that the proposed task–oriented force rendering considerably increases the ability of perceiving the properties of the grasped virtual object.

The research leading to these results has received funding from the European Union Seventh Framework Programme FP7/2007–2013 with project “WEARHAP - WEARable HAPtics for humans and robots” and project “THE - The Hand Embodied”.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Salisbury, K., Brock, D., Massie, T., Swarup, N., Zilles, C.: Haptic rendering: programming touch interaction with virtual objects. In: Proceedings of the International Symposium on Interactive 3D Graphics, pp. 123–130 (1995)

    Google Scholar 

  2. Nikolaki, G., Tzovaras, D., Moustakidis, S., Strintzis, M.G.: Cybergrasp and phantom integration: enhanced haptic access for visually impaired users. In: Proceedings of the International Conference on Speech and Computer, pp. 507–513 (2004)

    Google Scholar 

  3. Giachritsis, C.D., Ferre, M., Barrio, J., Wing, A.M.: Unimanual and bimanual weight perception of virtual objects with a new multi-finger haptic interface. Brain Res. Bull. 85(5), 271–275 (2011)

    Article  Google Scholar 

  4. Prattichizzo, D., Trinkle, J.: Grasping. In: Siciliano, B., Kathib, O. (eds.) Handbook on Robotics, pp. 671–700. Springer, New York (2008)

    Chapter  Google Scholar 

  5. Iqbal, J., Tsagarakis, N.G., Caldwell, D.G.: A multi-dof robotic exoskeleton interface for hand motion assistance. In: Proceedings of the IEEE International Conference on Engineering in Medicine and Biology Society, pp. 1575–1578 (2011)

    Google Scholar 

  6. Verner, L.N., Okamura, A.M.: Sensor/actuator asymmetries in telemanipulators: implications of partial force feedback. In: Proceedings of the IEEE International Symposium in Haptic Interfaces for Virtual Environment and Teleoperator Systems, pp. 309–314 (2006)

    Google Scholar 

  7. Verner, L.N., Okamura, A.M.: Effects of translational and gripping force feedback are decoupled in a 4-degree-of-freedom telemanipulator. In: Proceedings of the IEEE International Conference on World Haptics Conference, pp. 286–291 (2007)

    Google Scholar 

  8. Bicchi, A.: On the closure properties of robotic grasping. Int. J. Robot. Res. 14(4), 319–334 (1995)

    Article  Google Scholar 

  9. Peters, G., Wilkinson, J.H.: The least squares problem and pseudo-inverses. Comput. J. 13(3), 309–316 (1970)

    Article  MATH  Google Scholar 

  10. Stern, M.K., Johnson, J.H.: Just noticeable difference. Corsini Encyclopedia of Psychology (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Leonardo Meli .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Meli, L., Prattichizzo, D. (2014). Task-Oriented Approach to Simulate a Grasping Action Through Underactuated Haptic Devices. In: Auvray, M., Duriez, C. (eds) Haptics: Neuroscience, Devices, Modeling, and Applications. EuroHaptics 2014. Lecture Notes in Computer Science(), vol 8619. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44196-1_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-44196-1_31

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-44195-4

  • Online ISBN: 978-3-662-44196-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics