Novel decoupling algorithm based on parallel voltage extreme learning machine (PV-ELM) for six-axis F/M sensors

•A novel decoupling algorithm PV-ELM for improving the performance of the six-axis robotic F/M sensors was proposed.•The effectiveness of the proposed decoupling method was proved by comparing it with traditional methods such as Least-Squares (LS), Support Vector Regression (SVR), BP Neural Network...

Full description

Saved in:

Bibliographic Details
Published in:	Robotics and computer-integrated manufacturing Vol. 57; pp. 303 - 314
Main Authors:	Liang, Qiaokang, Long, Jianyong, Coppola, Gianmarc, Zhang, Dan, Sun, Wei
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.06.2019 Elsevier BV
Subjects:	Algorithms Artificial neural networks Back propagation networks Calibration and decoupling Coupling Decoupling method Electric potential Extreme learning machine Machine learning Multi-axis force/moment sensors Multiaxis Neural networks Robotic sensory system Sensors Support vector machines Extreme learning machine Calibration and decoupling Multi-axis force/moment sensors Robotic sensory system
ISSN:	0736-5845, 1879-2537
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!