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JCR Impact Factor: 0.700
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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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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.

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  1/2014 - 9

Visibility-based Planners for Mobile Robots Capable to Handle Path Existence Queries in Temporal Logic

POMARLAN, M. See more information about POMARLAN, M. on SCOPUS See more information about POMARLAN, M. on IEEExplore See more information about POMARLAN, M. on Web of Science
 
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Download PDF pdficon (734 KB) | Citation | Downloads: 984 | Views: 3,848

Author keywords
collision avoidance, computational efficiency, mobile robots, motion planning, reachability analysis, robot motion

References keywords
planning(14), motion(11), robotics(9), iros(9), robot(7), temporal(6), logic(6), icra(6), automation(6), systems(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-02-28
Volume 14, Issue 1, Year 2014, On page(s): 55 - 64
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.01009
Web of Science Accession Number: 000332062300009
SCOPUS ID: 84894612767

Abstract
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Over the past few years, sampling based planner algorithms have been applied to planning queries formulated in path existence temporal logic, a formal system that allows more complex specifications on a solution path and is useful for task planning for mobile robots or synthesizing controllers for dynamical systems. In this paper, we extend the visibility heuristic to planners capable to handle finite path existence temporal logic queries. Our interest is justified by the visibility heuristic's ability to construct small roadmaps that are fast to search. We find that the visibility heuristic must be amended so that it can reliably handle temporal logic queries and we propose a suitable modification of the heuristic. We then present a method to extract a solution path from a roadmap, if such a solution exists. Finally, we show how the planner can be used to generate looping paths by augmenting it with a gap reduction step.


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Cited-By CrossRef

[1] A New Optimized Model to Handle Temporal Data using Open Source Database, KUMAR, S., RISHI, R., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 17, 2017.
Digital Object Identifier: 10.4316/AECE.2017.02008
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Faculty of Electrical Engineering and Computer Science
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