This paper presents a method for detecting the mechanical stiffness of micro-metric biological tissues by means of compliance tests performed with a MEMS-Technology based microgripper. Thanks to an actuating rotary comb drive working in cooperation with another sensing rotary comb drive, the system is able to recognize the tissue sample stiffness. Such characterization is possible thanks to a proper control system that is applied to the whole mechanical structure.

Bagolini, A., Bellutti, P., Di Giamberardino, P., Rudas, I.J., D’Andrea, V., Verotti, M., et al. (2018). Stiffness characterization of biological tissues by means of MEMS-technology based micro grippers under position control. In C. Ferraresi e G. Quaglia (a cura di), Mechanisms and Machine Science, Advances in Service and Industrial Robotics (pp. 939-947). Springer Netherlands [10.1007/978-3-319-61276-8_100].

Stiffness characterization of biological tissues by means of MEMS-technology based micro grippers under position control

Di Giamberardino, Paolo;Belfiore, Nicola P.
2018-01-01

Abstract

This paper presents a method for detecting the mechanical stiffness of micro-metric biological tissues by means of compliance tests performed with a MEMS-Technology based microgripper. Thanks to an actuating rotary comb drive working in cooperation with another sensing rotary comb drive, the system is able to recognize the tissue sample stiffness. Such characterization is possible thanks to a proper control system that is applied to the whole mechanical structure.
2018
9783319612751
Bagolini, A., Bellutti, P., Di Giamberardino, P., Rudas, I.J., D’Andrea, V., Verotti, M., et al. (2018). Stiffness characterization of biological tissues by means of MEMS-technology based micro grippers under position control. In C. Ferraresi e G. Quaglia (a cura di), Mechanisms and Machine Science, Advances in Service and Industrial Robotics (pp. 939-947). Springer Netherlands [10.1007/978-3-319-61276-8_100].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/330559
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