Surface Undulation Detection System Using Wearable Artificial Skin Layer with Strain Gauge

In this study, a simulation of a real-time surface undulation detection system based on machine learning techniques was developed. In this system, surface undulations are sensed using a sensor called the "strain-gauge-sandwiched rubber artificial skin layer," and the digitized undulation d...

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Bibliographic Details
Published in:2019 2nd IEEE International Conference on Soft Robotics (RoboSoft) pp. 617 - 622
Main Authors: Masaki, Toshiaki, Ando, Mitsuhito, Takei, Toshinobu, Fujimoto, Hideo, Mochiyama, Hiromi
Format: Conference Proceeding
Language:English
Published: IEEE 01-04-2019
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Summary:In this study, a simulation of a real-time surface undulation detection system based on machine learning techniques was developed. In this system, surface undulations are sensed using a sensor called the "strain-gauge-sandwiched rubber artificial skin layer," and the digitized undulation data are processed by fast Fourier transform and input into a single-layer neural network. Preliminary results suggest that the proposed system is capable of discriminating convex deformations ranging from 0 to 60 μm in height.
DOI:10.1109/ROBOSOFT.2019.8722760