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

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Haptics Underactuation Grasping 

References

  1. 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. 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. 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)CrossRefGoogle Scholar
  4. 4.
    Prattichizzo, D., Trinkle, J.: Grasping. In: Siciliano, B., Kathib, O. (eds.) Handbook on Robotics, pp. 671–700. Springer, New York (2008)CrossRefGoogle Scholar
  5. 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. 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. 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. 8.
    Bicchi, A.: On the closure properties of robotic grasping. Int. J. Robot. Res. 14(4), 319–334 (1995)CrossRefGoogle Scholar
  9. 9.
    Peters, G., Wilkinson, J.H.: The least squares problem and pseudo-inverses. Comput. J. 13(3), 309–316 (1970)CrossRefMATHGoogle Scholar
  10. 10.
    Stern, M.K., Johnson, J.H.: Just noticeable difference. Corsini Encyclopedia of Psychology (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Department of Information Engineering and MathematicsUniversity of SienaSienaItaly
  2. 2.Department of Advanced RoboticsIstituto Italiano di TecnologiaGenovaItaly

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