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Conference Paper/Proceeding/Abstract 224 views

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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first_indexed 2024-03-23T15:05:59Z
last_indexed 2024-03-23T15:05:59Z
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spelling v2 65608 2024-02-09 Learning Industrial Robot Force/torque Compensation: A Comparison of Support Vector and Random Forests Regression a4e15f304398ecee3f28c7faec69c1b0 0000-0003-4621-2917 Sara Sharifzadeh Sara Sharifzadeh true false 2024-02-09 SCS Conference Paper/Proceeding/Abstract Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics ACTAPRESS Calgary,AB,Canada 978-0-88986-986-8 1 1 2016 2016-01-01 10.2316/p.2016.847-002 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2024-03-23T15:06:02.8747977 2024-02-09T01:16:57.1894755 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Ali Al-Yacoub 1 Sara Sharifzadeh 0000-0003-4621-2917 2 Niels Lohse 3 Zahid Usman 4 Yee Goh 5 Michael Jackson 6
title Learning Industrial Robot Force/torque Compensation: A Comparison of Support Vector and Random Forests Regression
spellingShingle Learning Industrial Robot Force/torque Compensation: A Comparison of Support Vector and Random Forests Regression
Sara Sharifzadeh
title_short Learning Industrial Robot Force/torque Compensation: A Comparison of Support Vector and Random Forests Regression
title_full Learning Industrial Robot Force/torque Compensation: A Comparison of Support Vector and Random Forests Regression
title_fullStr Learning Industrial Robot Force/torque Compensation: A Comparison of Support Vector and Random Forests Regression
title_full_unstemmed Learning Industrial Robot Force/torque Compensation: A Comparison of Support Vector and Random Forests Regression
title_sort Learning Industrial Robot Force/torque Compensation: A Comparison of Support Vector and Random Forests Regression
author_id_str_mv a4e15f304398ecee3f28c7faec69c1b0
author_id_fullname_str_mv a4e15f304398ecee3f28c7faec69c1b0_***_Sara Sharifzadeh
author Sara Sharifzadeh
author2 Ali Al-Yacoub
Sara Sharifzadeh
Niels Lohse
Zahid Usman
Yee Goh
Michael Jackson
format Conference Paper/Proceeding/Abstract
container_title Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics
publishDate 2016
institution Swansea University
isbn 978-0-88986-986-8
doi_str_mv 10.2316/p.2016.847-002
publisher ACTAPRESS
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 2016-01-01T15:05:59Z
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score 11.035634

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