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In this letter, we present a new soft and flexible sensor which can reconstruct its surface shape in real time. A single-core optical fiber with fiber Bragg gratings (FBGs) is capable of detecting sparse local strains at high bandwidth using wavelength-division multiplexing. The fiber was embedded into an elastomeric substrate to reconstruct its global surface morphology. Finite element analysis was used to determine the design parameters, and also to validate the unique mapping from sparse strain measurements to the continuum shape of the sensor. To simplify the fabrication and error compensation process without precise/prior knowledge of the FBG locations in the sensor, machine learning-based modeling was applied. This enables real time, robust and reliable shape reconstruction. It is demonstrated to outperform various applications of electronics-based sensors, which require sophisticated electrode wiring and noise reduction. Experiments were performed to evaluate the sensing accuracy and repeatability.
Lun et al. (Mon,) studied this question.