Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Aug 2024
Next issue: Nov 2024
Avg review time: 56 days
Avg accept to publ: 60 days
APC: 300 EUR


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


TRAFFIC STATS

2,985,504 unique visits
1,158,207 downloads
Since November 1, 2009



Robots online now
SemrushBot
Googlebot
bingbot


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 24 (2024)
 
     »   Issue 3 / 2024
 
     »   Issue 2 / 2024
 
     »   Issue 1 / 2024
 
 
 Volume 23 (2023)
 
     »   Issue 4 / 2023
 
     »   Issue 3 / 2023
 
     »   Issue 2 / 2023
 
     »   Issue 1 / 2023
 
 
 Volume 22 (2022)
 
     »   Issue 4 / 2022
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
  View all issues  


FEATURED ARTICLE

A Proposed Signal Reconstruction Algorithm over Bandlimited Channels for Wireless Communications, ASHOUR, A., KHALAF, A., HUSSEIN, A., HAMED, H., RAMADAN, A.
Issue 1/2023

AbstractPlus






LATEST NEWS

2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

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
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

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.

Read More »


    
 

  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
 
Extra paper information in View the paper record and citations in Google Scholar View the paper record and similar papers in Microsoft Bing View the paper record and similar papers in Semantic Scholar the AI-powered research tool
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (855 KB) | Citation | Downloads: 1,754 | Views: 5,461

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
Quick view
Full text preview
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  «-- Click to see who has cited this paper

[1] Y. Hu and S. X. Yang, "A knowledge based genetic algorithm for path planning of a mobile robot," Proceedings of the 2004 IEEE, Int. Conf. on Robotics & Automation, Vol. 5, pp. 4350-4355, 2004.
[CrossRef]


[2] J. Tu and S. X. Yang, "Genetic algorithm based path planning for a mobile robot," Robotics and Automation. Proceedings. ICRA '03. IEEE Int Conf. on, Vol. 1, pp. 1221-1226, 2003.
[CrossRef]


[3] I. Al-Taharwa, A. Sheta and M. Al-Weshah, "A mobile robot path planning using genetic algorithm in static environment," J of Computer Science, Vol. 4, pp. 341-344, 2008.
[CrossRef] [SCOPUS Times Cited 222]


[4] A. Elshamli, H. A. Abdullah and S. Areibi, "Genetic algorithm for dynamic path planning," Electrical and Computer Engineering, Canadian Conference on, Vol. 2, pp. 677-680, 2004.
[CrossRef]


[5] S. M. H. Nabavi, A. Kazemi and M. A. S. Masoum, "Social welfare improvement by TCSC using real code based genetic algorithm in double-sided auction market," Advances in Electrical and Computer Engineering, Vol. 11, pp. 99-106, 2011.
[CrossRef] [Full Text] [Web of Science Times Cited 7] [SCOPUS Times Cited 11]


[6] H. J. Chang, C. S. G. Lee, Yung-Hsiang Lu, Y. C. Hu, "P-SLAM: simultaneous localization and mapping with environmental-structure prediction," IEEE Transactions on Robotics, Vol. 23, No. 2, pp.281-293,2007.
[CrossRef] [Web of Science Times Cited 46] [SCOPUS Times Cited 61]


[7] Y. Zhuang, M. Gu, W. Wang and H. Yu, "Multi-robot cooperative localization based on autonomous motion state estimation and laser data interaction," Science China Information Sciences, Vol. 53, No. 11, pp. 2240-2250, 2010.
[CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 17]


[8] H. Teimoori and A. V. Savkin, "Equiangular navigation and guidance of a wheeled mobile robot based on range-only measurements," Robotics and Autonomous Systems, Vol. 58, pp. 203-215, 2010.
[CrossRef] [Web of Science Times Cited 56] [SCOPUS Times Cited 71]


[9] A. Yufka, O. Parlaktuna, "Performance comparison of bug algorithms for mobile robots," 5th International Advanced Technologies Symposium (IATS'09), Karabuk, Turkey, May 13-15, 2009.

[10] [Online] Available: Temporary on-line reference link removed - see the PDF document

[11] [Online] Available: Temporary on-line reference link removed - see the PDF document

[12] [Online] Available: Temporary on-line reference link removed - see the PDF document

[13] Pioneer 3 Operations Manual, Version 6, MobileRobots Inc., September 2010.

[14] T. W. Manikas, K. Ashenayi and R. L. Wainwright, "Genetic algorithms for autonomous robot navigation," Instrumentation & Measurement Magazine, IEEE, Vol. 10, pp. 26-31, 2007.
[CrossRef] [Web of Science Times Cited 79] [SCOPUS Times Cited 109]


[15] M. Naderan-Tahan and M. T. Manzuri-Shalmani, "Efficient and safe path planning for a mobile robot using genetic algorithm," Evolutionary Computation, CEC '09. IEEE Congress on, pp. 2091-2097, 2009.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 21]


[16] Z. Yao and L. Ma, "A static environment-based path planning method by using genetic algorithm," Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on, Vol. 2, pp. 405-407, 2010.
[CrossRef] [SCOPUS Times Cited 22]


[17] Q. Li, W. Zhang, Y. Yin, Z. Wang and G. Liu, "An improved genetic algorithm of optimum path planning for mobile robots," Intelligent Systems Design and Applications, ISDA '06. Sixth International Conference on, Vol. 2, pp. 637-642, 2006.
[CrossRef] [SCOPUS Times Cited 58]


[18] E. Gelenbe, P. Liu and J. Laine, "Genetic algorithms for route discovery," Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, Vol. 36, pp. 1247-1254, 2006.
[CrossRef] [Web of Science Times Cited 51] [SCOPUS Times Cited 61]


[19] K. Sugihara and J. Smith, "Genetic algorithms for adaptive motion planning of an autonomous mobil robot," Computational Intelligence in Robotics and Automation, CIRA'97, Proceedings, IEEE International Symposium on, pp. 138-143, 1997.
[CrossRef] [Web of Science Times Cited 94]


[20] G. Nagib and W. Gharieb, "Path planning for a mobile robot using genetic algorithms," Electrical, Electronic and Computer Engineering, ICEEC '04, International Conference on, pp. 185-189, 2004.
[CrossRef] [Web of Science Times Cited 35]


[21] E. Masehian and D. Sedighizadeh, "Multi-objective PSO- and NPSO-based algorithms for robot path planning," Advances in Electrical and Computer Engineering, Vol. 10, pp. 69-76, 2010.
[CrossRef] [Full Text] [Web of Science Times Cited 53] [SCOPUS Times Cited 65]


References Weight

Web of Science® Citations for all references: 454 TCR
SCOPUS® Citations for all references: 718 TCR

Web of Science® Average Citations per reference: 22 ACR
SCOPUS® Average Citations per reference: 34 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-11-19 12:31 in 128 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: 


DNS Made Easy