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JCR Impact Factor: 0.800
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Issues per year: 4
Current issue: Feb 2024
Next issue: May 2024
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PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
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2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  1/2012 - 10

 HIGH-IMPACT PAPER 

A Motion Planning System for Mobile Robots

TUNCER, A. See more information about TUNCER, A. on SCOPUS See more information about TUNCER, A. on IEEExplore See more information about TUNCER, A. on Web of Science, YILDIRIM, M. See more information about  YILDIRIM, M. on SCOPUS See more information about  YILDIRIM, M. on SCOPUS See more information about YILDIRIM, M. on Web of Science, ERKAN, K. See more information about ERKAN, K. on SCOPUS See more information about ERKAN, K. on SCOPUS See more information about ERKAN, K. on Web of Science
 
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Download PDF pdficon (855 KB) | Citation | Downloads: 1,678 | Views: 5,180

Author keywords
genetic algorithm, mobile robot, motion planning

References keywords
robot(12), genetic(12), planning(10), path(9), mobile(8), algorithm(8), algorithms(6), robotics(5), autonomous(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-02-28
Volume 12, Issue 1, Year 2012, On page(s): 57 - 62
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.01010
Web of Science Accession Number: 000301075000010
SCOPUS ID: 84860754571

Abstract
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In this paper, a motion planning system for a mobile robot is proposed. Path planning tries to find a feasible path for mobile robots to move from a starting node to a target node in an environment with obstacles. A genetic algorithm is used to generate an optimal path by taking the advantage of its strong optimization ability. Mobile robot, obstacle and target localizations are realized by means of camera and image processing. A graphical user interface (GUI) is designed for the motion planning system that allows the user to interact with the robot system and to observe the robot environment. All the software components of the system are written in MATLAB that provides to use non-predefined accessories rather than the robot firmware has, to avoid confusing in C++ libraries of robot's proprietary software, to control the robot in detail and not to re-compile the programs frequently in real-time dynamic operations.


References | Cited By

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 9 [View]
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Cited-By SCOPUS

SCOPUS® Times Cited: 11
View record in SCOPUS®
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View citations in SCOPUS® [Free preview]

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Cited-By CrossRef

[1] Bio-inspired Approach for Smooth Motion Control of Wheeled Mobile Robots, Jia, Z. J., Song, Y. D., Cai, W. C., Cognitive Computation, ISSN 1866-9956, Issue 2, Volume 5, 2013.
Digital Object Identifier: 10.1007/s12559-012-9186-8
[CrossRef]

[2] Sensing pipes of a nuclear power mechanism using low-cost snake robot, Huang, Chiung-Wei, Huang, Chung-Hao, Hung, Yu-Hsiang, Chang, Cheng-Yuan, Advances in Mechanical Engineering, ISSN 1687-8140, Issue 6, Volume 10, 2018.
Digital Object Identifier: 10.1177/1687814018781286
[CrossRef]

[3] Remote Control of an Autonomous Robotic Platform Based on Eye Tracking, PASARICA, A., ANDRUSEAC, G. G., ADOCHIEI, I., ROTARIU, C., COSTIN, H., ADOCHIEI, F., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.04015
[CrossRef] [Full text]

[4] Design and implementation of a genetic algorithm IP core on an FPGA for path planning of mobile robots, TUNCER, Adem, YILDIRIM, Mehmet, TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, ISSN 1300-0632, Issue , 2016.
Digital Object Identifier: 10.3906/elk-1502-122
[CrossRef]

[5] Navigational analysis of a humanoid using genetic algorithm with vision assistance, Kumar, Priyadarshi Biplab, Parhi, Dayal R., Multimedia Tools and Applications, ISSN 1380-7501, Issue 11-12, Volume 79, 2020.
Digital Object Identifier: 10.1007/s11042-019-08307-4
[CrossRef]

[6] Stochastic Wheel-Slip Compensation Based Robot Localization and Mapping, SIDHARTHAN, R. K., KANNAN, R., SRINIVASAN, S., BALAS, V. E., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.02004
[CrossRef] [Full text]

[7] Global Path Planning for Autonomous Mobile Robot Using Genetic Algorithm, Samadi, Masoud, Othman, Mohd Fauzi, 2013 International Conference on Signal-Image Technology & Internet-Based Systems, ISBN 978-1-4799-3211-5, 2013.
Digital Object Identifier: 10.1109/SITIS.2013.118
[CrossRef]

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