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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Published in: | 2019 2nd IEEE International Conference on Soft Robotics (RoboSoft) pp. 617 - 622 |
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Main Authors: | , , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
01-04-2019
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Subjects: | |
Online Access: | Get full text |
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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. |
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DOI: | 10.1109/ROBOSOFT.2019.8722760 |