Data-driven bending angle prediction of soft pneumatic actuators with embedded flex sensors

In this paper, resistive flex sensors have been embedded at the strain limiting layer of soft pneumatic actuators, in order to provide sensory feedback that can be utilised in predicting their bending angle during actuation. An experimental setup was prepared to test the soft actuators under control...

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Bibliographic Details
Main Authors: Khaled Elgeneidy, Niels Lohse, Michael Jackson
Format: Default Conference proceeding
Published: 2016
Subjects:
Mechanical engineering not elsewhere classified
Soft grippers
Pneumatic actuators
Neural networks
Regression analysis
Image processing
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/22723
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https://hdl.handle.net/2134/22723

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