Forecasting of Underactuated Robotic Finger Contact Forces by Support Vector Regression Methodology-Reference-Cited by-同舟云学术

Forecasting of Underactuated Robotic Finger Contact Forces by Support Vector Regression Methodology

Published:2016-05-25 Issue:07 Volume:30 Page:1659019
ISSN:0218-0014
Container-title:International Journal of Pattern Recognition and Artificial Intelligence
language:en
Short-container-title:Int. J. Patt. Recogn. Artif. Intell.

Author:

Jović Srđjan¹,Danesh Amir Seyed²,Younesi Emran³,Aničić Obrad¹,Petković Dalibor⁴,Shamshirband Shahaboddin⁵

Affiliation:

1. Faculty of Technical Sciences, Kosovska Mitrovica, University of Priština, 38 220 Kosovska Mitrovica, Kneza Milosa 7, Serbia

2. Department of Software Engineering, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia

3. Department of Computer, Payame Noor University, P. O. Box 19305 Tehran, Iran

4. Deparment for Mechatronics and Control, Faculty of Mechanical Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, Serbia

5. Department of Computer System & Technology, Faculty of Computer Science & Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia

Abstract

Robotic manipulators have very strong nonlinearities. Analytical modeling of the robotic gripper is very challenging task. Therefore in this paper soft computing methods is applied in order to estimate contact forces of the robotic finger. Support vector regression (SVR) with radial and polynomial basis functions and the soft computing methods were used. The primary purpose of this study are in clarification of kinetostatic examining of a new finger mechanism utilizing pseudo-unbending body model. The results show the better prediction accuracy with SVR methodology with radial basis function (RBF).

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218001416590199

Reference27 articles.

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