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Learning Industrial Robot Force/torque Compensation: A Comparison of Support Vector and Random Forests Regression

Ali Al-Yacoub, Sara Sharifzadeh Orcid Logo, Niels Lohse, Zahid Usman, Yee Goh, Michael Jackson

Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics

Swansea University Author: Sara Sharifzadeh Orcid Logo

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DOI (Published version): 10.2316/p.2016.847-002

Published in: Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics
ISBN: 978-0-88986-986-8
Published: Calgary,AB,Canada ACTAPRESS 2016
URI: https://cronfa.swan.ac.uk/Record/cronfa65608
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College: Faculty of Science and Engineering