Improved Normal and Shear Tactile Force Sensor Performance via Least Squares Artificial Neural Network (LSANN)
This paper presents a new approach to the characterization of tactile array sensors that aims to reduce the computational time needed for convergence to obtain a useful estimator for normal and shear forces. This is achieved by breaking up the sensor characterization into two parts: a linear regress...
Main Authors: | Chuah, Meng Yee (Contributor), Kim, Sangbae (Contributor) |
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Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor), Chuah, Meng Yee (Michael) (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2017-07-11T14:05:37Z.
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Subjects: | |
Online Access: | Get fulltext |
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