Learning industrial robot force/torque compensation: A comparison of support vector and random forests regression

Haptics, as well as force and torque measurements, are increasingly gaining attention in the fields of kinesthetic learning and robot Learning from demonstration (LfD). For such learning techniques, it is essential to obtain accurate force and torque measurements in order to enable accurate control....

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Bibliographic Details
Main Authors: Ali Al-Yacoub, Sara Sharifzadeh, Niels Lohse, Zahid Usman, Yee Goh, Michael Jackson
Format: Default Conference proceeding
Published: 2016
Subjects:
Mechanical engineering not elsewhere classified
Force and torque compensation
Support Vector Regression (SVR)
Random Forests (RF)
Industrial robots
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/23638
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https://hdl.handle.net/2134/23638

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