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General Information
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2020 Vol.10(2): 61-67 ISSN: 2010-3697
DOI: 10.7763/IJMO.2020.V10.748

Assisted Multi Objectives Research Optimization of the Arm Type Robot’s Forces

Adrian D. Olaru, Serban A. Olaru, Niculae C. Mihai, and Natalia M. Smidova

Abstract—Multi objectives optimization in Robotics is one of the most difficult problem to be solved. In the paper will be shown the matrix form of the resistive and active forces and the proper algorithm to establish the best case between all studied cases. The mathematical matrix form of the active forces equations was transposed to the virtual LabVIEW instrumentation with the goals to obtain some characteristics of the active forces in each joints of the robot variation vs. time in the case when were changed some functional or constructive parameters. By using proper algorithm was choose the best solution between the studied cases for down movements of the robot’s arm. The applied method, the algorithm and the proper virtual instrumentation solve one small part of the complex problems of the optimisation in robotics

Index Terms—Assisted research, multi objective optimization, virtual instrumentation, robot’s joints forces.

A. D. Olaru is with the University Politehnica of Bucharest, Romania (e-mail: aolaru_51@ymail.com).
S. A. Olaru was with ACTTM agency, Bucharest, Romania (e-mail: serban1978@yahoo.com).
N. C. Mihai is with the Techno Accord SA, Quebec, Canada (e-mail: mniculae@gmail.ca).
N. M. Smidova is with Kosice University of Technology, Slovakia.

[PDF]

Cite: Adrian D. Olaru, Serban A. Olaru, Niculae C. Mihai, and Natalia M. Smidova, "Assisted Multi Objectives Research Optimization of the Arm Type Robot’s Forces," International Journal of Modeling and Optimization vol. 10, no. 2, pp. 741-748, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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