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Learning in Robotics
by
Amir Mosavi,
Annamaria Varkonyi
| 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