UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 9
September-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIRDD06012


Registration ID:
222597

Page Number

62-66

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Title

DEEP LEARNING ALGORITHM USED IN ROBOTICS

Abstract

Advances in deep learning over the last decade have led to a flurry of research in the application of deep artificial neural networks to robotic systems, with at least thirty papers published on the subject between 2014 and the present. This review discusses the applications, benefits, and limitations of deep learning vis-à-vis physical robotic systems, using contemporary research as exemplars. It is intended to communicate recent advances to the wider robotics community and inspire additional interest in and application of deep learning in robotics

Key Words

DEEP LEARNING ALGORITHM USED IN ROBOTICS

Cite This Article

"DEEP LEARNING ALGORITHM USED IN ROBOTICS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 9, page no.62-66, September 2019, Available :http://www.jetir.org/papers/JETIRDD06012.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"DEEP LEARNING ALGORITHM USED IN ROBOTICS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 9, page no. pp62-66, September 2019, Available at : http://www.jetir.org/papers/JETIRDD06012.pdf

Publication Details

Published Paper ID: JETIRDD06012
Registration ID: 222597
Published In: Volume 6 | Issue 9 | Year September-2019
DOI (Digital Object Identifier):
Page No: 62-66
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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