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Learning in Robotics

by Amir Mosavi, Annamaria Varkonyi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 157 - Number 1
Year of Publication: 2017
Authors: Amir Mosavi, Annamaria Varkonyi
10.5120/ijca2017911661

Amir Mosavi, Annamaria Varkonyi . Learning in Robotics. International Journal of Computer Applications. 157, 1 ( Jan 2017), 8-11. DOI=10.5120/ijca2017911661

@article{ 10.5120/ijca2017911661,
author = { Amir Mosavi, Annamaria Varkonyi },
title = { Learning in Robotics },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2017 },
volume = { 157 },
number = { 1 },
month = { Jan },
year = { 2017 },
issn = { 0975-8887 },
pages = { 8-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume157/number1/26793-2016911661/ },
doi = { 10.5120/ijca2017911661 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:03:34.824076+05:30
%A Amir Mosavi
%A Annamaria Varkonyi
%T Learning in Robotics
%J International Journal of Computer Applications
%@ 0975-8887
%V 157
%N 1
%P 8-11
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Machine learning is currently identified as one of the major parts of the research in Robotics. However the advanced concept of machine learning plus optimization reported effective for developing learning systems. This article considers the novel integration of machine learning and optimization for the complex and dynamic context of Robot learning. Further the proposed case study presents an effective framework for learning and solving the global optimization problem within the context of Robotics and learning.

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Index Terms

Computer Science
Information Sciences

Keywords

Predictive analytics machine learning optimization robotics

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