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Synergies Evaluation of the SCHUNK S5FH for Grasping Control

  • Fanny FicucielloEmail author
  • Alba Federico
  • Vincenzo Lippiello
  • Bruno Siciliano
Chapter
Part of the Springer Proceedings in Advanced Robotics book series (SPAR, volume 4)

Abstract

In this work, a study on postural synergies has been conducted on an under-actuated anthropomorphic hand , the SCHUNK Five-Fingered Hand (S5FH). Human hand grasps are mapped on the robotic hand using fingertips measurements, obtained with an RGBD camera sensor, and inverse kinematics. Since the S5FH is under-actuated, an approximate solution can be obtained using the differential kinematics mapping between the motor space and the Cartesian space and a closed-loop inverse kinematics (CLIK), based on a high-rectangular hand Jacobian that takes into account the mechanical synergies of the hand. The so-computed motor synergies have been tested for hand control during grasping. The motor current measurements have been used to limit the grasping forces trough a motor position control in the synergies subspace.

Keywords

Grasping Anthropomorphic hands Postural synergies 

Notes

Acknowledgements

This research has been partially funded by the EC Seventh Framework Programme (FP7) within RoDyMan project 320992. The authors are solely responsible for its content. It does not represent the opinion of the European Community and the Community is not responsible for any use that might be made of the information contained therein.

References

  1. 1.
    Wimboeck, T., Jan, B., Hirzinger, G.: Synergy-level impedance control for a multifingered hand. In: Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 973–979. San Francisco (2011)Google Scholar
  2. 2.
    Ficuciello, F., Palli, G., Melchiorri, C., Siciliano, B.: Experimental evaluation of postural synergies during reach to grasp with the UB Hand IV. In: Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1775–1780, San Francisco (2011)Google Scholar
  3. 3.
    Geng, T., Lee, M., Hulse, M.: Transferring human grasping synergies to a robot. Mechatronics 21(1), 272–284 (2011)Google Scholar
  4. 4.
    Sun, S., Rosales, C., Suarez, R.: Study of coordinated motions of the human hand for robotic applications. In: Proceedings of the Anchorage, Alaska, IEEE International Conference on Robotics and Automation, pp. 776–781 (2010)Google Scholar
  5. 5.
    Gioioso, G., Salvietti, G., Malvezzi, M., Prattichizzo, P.: Mapping synergies from human to robotic hands with dissimilar kinematics: An object based approach. In: IEEE International Conference on Robotics and Automation, Workshop on Manipulation Under Uncertainty, Shangai (2011)Google Scholar
  6. 6.
    Ficuciello, F., Palli, G., Melchiorri, C., Siciliano, B.: Postural synergies of the ub hand iv for human-like grasping. Robot. Autonom. Syst. 62, 357–362 (2014)CrossRefGoogle Scholar
  7. 7.
    Palli, G., Melchiorri, C., Vassura, G., Scarcia, U., Moriello, L., Berselli, G., Cavallo, A., Maria, G.D., Natale, C., Pirozzi, S., May, C., Ficuciello, F., Siciliano, B.: The DEXMART hand: mechatronic design and experimental evaluation of synergy-based control for human-like grasping. Int. J. Robot. Res. 33, 799–824 (2014)CrossRefGoogle Scholar
  8. 8.
    Ficuciello, F., Palli, G., Melchiorri, C., Siciliano, B.: A model-based strategy for mapping human grasps to robotic hands using synergies. In: Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Wollongong, Australia, 2013, pp. 1737–1742 (2013)Google Scholar
  9. 9.
    Ficuciello, F., Palli, G., Melchiorri, C., Siciliano, B.: Planning and control during reach to grasp using the three predominant UB Hand IV postural synergies. In: Proceeding IEEE International Conference on Robotics and Automation, Saint Paul, 2012, pp. 2255–2260 (2012)Google Scholar
  10. 10.
    Feix, T., Pawlik, R., Schmiedmayer, H., Romero, J., Kragic, D.: The generation of a comprehensive grasp taxonomy. In: Robotics, Science and Systems, Workshop on Understanding the Human Hand for Advancing Robotic Manipulation, Washington (2009)Google Scholar
  11. 11.
    Cutkosky, M.: On grasp choice, grasp models, and the design of hands for manufacturing tasks. IEEE Trans. Robot. Autom. 5(3), 269–279 (1989)CrossRefGoogle Scholar
  12. 12.
    Ruehl, S., Parliz, C., Heppner, G., Hermann, A., Roennau, A., Dillman, R.: Experimental evaluation of the schunk 5-finger gripping hand for grasping tasks. In: Proceedings of the Bali, Indonesia, IEEE International Conference on Robotics and Biomimetics pp. 2465–2470 (2014)Google Scholar
  13. 13.
  14. 14.

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Fanny Ficuciello
    • 1
    Email author
  • Alba Federico
    • 1
  • Vincenzo Lippiello
    • 1
  • Bruno Siciliano
    • 1
  1. 1.Dipartimento di Ingegneria Elettrica E Tecnologie Dell’InformazioneUniversità Degli Studi di Napoli Federico IINapoliItaly

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