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Grasper integrated tri-axial force sensor system for robotic minimally invasive surgery

Yuan Dai, Ahmad Abiri, Siyuan Liu, Omeed Paydar, Hyunmin Sohn, Eric P. Dutson, Warren S. Grundfest, Rob N. Candler

Year
2017
Citations
18

Abstract

This paper describes the design, microfabrication, and characterization of a miniature force sensor for providing tactile feedback in robotic surgical systems. We demonstrate for the first time a microfabricated sensor that can provide triaxial sensing (normal, x-shear, y-shear) in a single sensor element that can be integrated with commercial robotic surgical graspers. Features of this capacitive force sensor include differential sensing in the shear directions as well as a design where all electrical connections are on one side, leaving the backside pristine as the sensing face. The sensor readout is performed by a custom-designed printed circuit board with 24-bit resolution. Experimental results of sensor performance show normal force resolution of 0.055 N, x-shear resolution of 0.25 N, and y-shear resolution of 1.45 N, all of which fall in a range of clinically relevant forces.

Keywords

Capacitive sensingMicrofabricationShear forceTactile sensorShear (geology)Normal forceComputer scienceInvasive surgeryHaptic technologyResolution (logic)

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