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A highly compact fiberoptic rotation sensor for a neurosurgical robot

Jun Sheng, Jaydev P. Desai

Year
2018
Citations
2

Abstract

This paper presents the development of a fiberoptic rotation sensor for the motion feedback of a meso-scale shape memory alloy (SMA) torsion actuator for a neurosurgical robot. Multiple bundles of optical fibers for transmitting and receiving light are employed to achieve large measurement range and high precision. The voltage output as a function of the rotation angle via light intensity modulation (LIM) is modeled. A series of experimental studies are performed to calibrate the developed fiberoptic rotation sensor and evaluate its working performance for a variety of motion profiles. The experimental results show that the developed sensor is capable of measuring large range of motion with relatively high precision.

Keywords

ActuatorRotation (mathematics)Torsion (gastropod)AcousticsOpticsComputer scienceMaterials scienceArtificial intelligencePhysics

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