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A neural network approach to navigation of a mobile robot and obstacle avoidance in dynamic and unknown environments

A neural network approach to navigation of a mobile robot and obstacle avoidance in dynamic and... Turk J Elec Eng & Comp Sci Turkish Journal of Electrical Engineering & Computer Sciences (2017) 25: 1629 { 1642 h t t p : / / j o u r n a l s . t u b i t a k . g o v . t r / e l e k t r i k /  _ ⃝ c TUBITAK doi:10.3906/elk-1603-75 Research Article A neural network approach to navigation of a mobile robot and obstacle avoidance in dynamic and unknown environments Farhad SHAMSFAKHR , Bahram SADEGHIBIGHAM Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences, Zanjan, Iran Received: 08.03.2016  Accepted/Published Online: 05.06.2016  Final Version: 29.05.2017 Abstract: Mobile robot navigation and obstacle avoidance in dynamic and unknown environments is one of the most challenging problems in the eld of robotics. Considering that a robot must be able to interact with the surrounding environment and respond to it in real time, and given the limited sensing range, inaccurate data, and noisy sensor readings, this problem becomes even more acute. In this paper, we attempt to develop a neural network approach equipped with statistical dimension reduction techniques to perform exact http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES Unpaywall

A neural network approach to navigation of a mobile robot and obstacle avoidance in dynamic and unknown environments

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCESJan 1, 2017
14 pages

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Publisher
Unpaywall
ISSN
1300-0632
DOI
10.3906/elk-1603-75
Publisher site
See Article on Publisher Site

Abstract

Turk J Elec Eng & Comp Sci Turkish Journal of Electrical Engineering & Computer Sciences (2017) 25: 1629 { 1642 h t t p : / / j o u r n a l s . t u b i t a k . g o v . t r / e l e k t r i k /  _ ⃝ c TUBITAK doi:10.3906/elk-1603-75 Research Article A neural network approach to navigation of a mobile robot and obstacle avoidance in dynamic and unknown environments Farhad SHAMSFAKHR , Bahram SADEGHIBIGHAM Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences, Zanjan, Iran Received: 08.03.2016  Accepted/Published Online: 05.06.2016  Final Version: 29.05.2017 Abstract: Mobile robot navigation and obstacle avoidance in dynamic and unknown environments is one of the most challenging problems in the eld of robotics. Considering that a robot must be able to interact with the surrounding environment and respond to it in real time, and given the limited sensing range, inaccurate data, and noisy sensor readings, this problem becomes even more acute. In this paper, we attempt to develop a neural network approach equipped with statistical dimension reduction techniques to perform exact

Journal

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCESUnpaywall

Published: Jan 1, 2017

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