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Article: Survey of optimal motion planning

TitleSurvey of optimal motion planning
Authors
Yang, YPan, JWan, W
Keywordspath planning
decision variables-and-problem formulation component
constraints component
optimal motion planning
motion planning algorithms
Issue Date2019
PublisherThe Institution of Engineering and Technology. The Journal's web site is located at https://digital-library.theiet.org/content/journals/iet-csr
Citation
IET Cyber-Systems and Robotics, 2019, v. 1 n. 1, p. 13-19 How to Cite?
DOI: http://dx.doi.org/10.1049/iet-csr.2018.0003
AbstractOptimal motion planning becomes more and more important these days and is critical for motion planning algorithms developed in the academia to be applicable to real-world applications. The objective of this article is to survey the current state-of-the-art on optimal motion planning algorithms in terms of their three main components: the decision variables and problem formulation, constraints, and objectives. A selection of proposed techniques is reviewed along with a discussion of their effectiveness and limitations. The side-by-side comparison presented in this survey helps to gain insight into the strengths and limitations of the reviewed approaches and assists with system-level design choices.
Persistent Identifierhttp://hdl.handle.net/10722/273150
ISSN
2631-6315
2023 Impact Factor: 1.5
2023 SCImago Journal Rankings: 0.541
ISI Accession Number ID
WOS:001058531600003

 

DC FieldValueLanguage
dc.contributor.authorYang, Y-
dc.contributor.authorPan, J-
dc.contributor.authorWan, W-
dc.date.accessioned2019-08-06T09:23:27Z-
dc.date.available2019-08-06T09:23:27Z-
dc.date.issued2019-
dc.identifier.citationIET Cyber-Systems and Robotics, 2019, v. 1 n. 1, p. 13-19-
dc.identifier.issn2631-6315-
dc.identifier.urihttp://hdl.handle.net/10722/273150-
dc.description.abstractOptimal motion planning becomes more and more important these days and is critical for motion planning algorithms developed in the academia to be applicable to real-world applications. The objective of this article is to survey the current state-of-the-art on optimal motion planning algorithms in terms of their three main components: the decision variables and problem formulation, constraints, and objectives. A selection of proposed techniques is reviewed along with a discussion of their effectiveness and limitations. The side-by-side comparison presented in this survey helps to gain insight into the strengths and limitations of the reviewed approaches and assists with system-level design choices.-
dc.languageeng-
dc.publisherThe Institution of Engineering and Technology. The Journal's web site is located at https://digital-library.theiet.org/content/journals/iet-csr-
dc.relation.ispartofIET Cyber-Systems and Robotics-
dc.rights[Pre-print to be removed on publication] “This paper is a postprint of a paper submitted to and accepted for publication in [journal] and is subject to IET copyright. The copy of record is available at IET Digital Library [link using doi]”-
dc.subjectpath planning-
dc.subjectdecision variables-and-problem formulation component-
dc.subjectconstraints component-
dc.subjectoptimal motion planning-
dc.subjectmotion planning algorithms-
dc.titleSurvey of optimal motion planning-
dc.typeArticle-
dc.identifier.emailPan, J: jpan@cs.hku.hk-
dc.identifier.authorityPan, J=rp01984-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1049/iet-csr.2018.0003-
dc.identifier.hkuros300344-
dc.identifier.volume1-
dc.identifier.issue1-
dc.identifier.spage13-
dc.identifier.epage19-
dc.identifier.isiWOS:001058531600003-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl2631-6315-

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