A Comprehensive Pattern Recognition Neural Network for Collision Classification Using Force Sensor Signals

A Comprehensive Pattern Recognition Neural Network for Collision Classification Using Force Sensor Signals

In this paper, force sensor signals are classified using a pattern recognition neural network (PRNN). The signals are classified to show if there is a collision or not. In our previous work, the joints positions of a 2-DOF robot were used to estimate the external force sensor signal, which was attac...

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Bibliographic Details
Main Authors: Abdel-Nasser Sharkawy, Alfian Ma’arif, Furizal, Ravi Sekhar, Pritesh Shah
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Robotics
Subjects:
collision classifications
force sensor
pattern recognition
neural network
scaled conjugate gradient backpropagation
Levenberg–Marquardt
Online Access:https://www.mdpi.com/2218-6581/12/5/124

Internet

https://www.mdpi.com/2218-6581/12/5/124

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