Solid mechanics-inspired sensor-based motion planner

In this paper a motion planner capable of laying a trajectory for a robot operating in a complex, stationary, unknown environment based on the sensory data it acquires online from its finite range sensors is suggested. The planner utilizes concepts from the area of mechanics of solids to generate th...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Charifa, S.M. (author)
مؤلفون آخرون: Masoud, A.A. (author), unknown (author)
التنسيق: article
منشور في: 2005
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/14629/1/14629_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14629/2/14629_2.doc
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author Charifa, S.M.
author2 Masoud, A.A.
unknown
author2_role author
author
author_facet Charifa, S.M.
Masoud, A.A.
unknown
author_role author
dc.creator.none.fl_str_mv Charifa, S.M.
Masoud, A.A.
unknown
dc.date.none.fl_str_mv 2005-08
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14629/1/14629_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14629/2/14629_2.doc
(2005) Solid mechanics-inspired sensor-based motion planner. Control Applications, 2005. CCA 2005. Proceedings of 2005 IEEE conference, 1.
dc.language.none.fl_str_mv en
en
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14629/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv Solid mechanics-inspired sensor-based motion planner
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description In this paper a motion planner capable of laying a trajectory for a robot operating in a complex, stationary, unknown environment based on the sensory data it acquires online from its finite range sensors is suggested. The planner utilizes concepts from the area of mechanics of solids to generate the navigation field. A new setting for the biharmonic potential field approach to planning (K. Hashimoto et al., 2000) is suggested. The new setting makes it possible to gradually feed the parts of the environment, as they are discovered online by the sensors of the robot, to the biharmonic potential-based planner. Theoretical developments of the method as well as simulation results are provided
eu_rights_str_mv openAccess
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id KFUPM_ff8c9a2d449c7f7099bd4cb003e886af
identifier_str_mv (2005) Solid mechanics-inspired sensor-based motion planner. Control Applications, 2005. CCA 2005. Proceedings of 2005 IEEE conference, 1.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::14629
publishDate 2005
publisher.none.fl_str_mv IEEE
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Solid mechanics-inspired sensor-based motion plannerCharifa, S.M.Masoud, A.A.unknownComputerIn this paper a motion planner capable of laying a trajectory for a robot operating in a complex, stationary, unknown environment based on the sensory data it acquires online from its finite range sensors is suggested. The planner utilizes concepts from the area of mechanics of solids to generate the navigation field. A new setting for the biharmonic potential field approach to planning (K. Hashimoto et al., 2000) is suggested. The new setting makes it possible to gradually feed the parts of the environment, as they are discovered online by the sensors of the robot, to the biharmonic potential-based planner. Theoretical developments of the method as well as simulation results are providedIEEE2005-082020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14629/1/14629_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14629/2/14629_2.doc (2005) Solid mechanics-inspired sensor-based motion planner. Control Applications, 2005. CCA 2005. Proceedings of 2005 IEEE conference, 1. enenhttps://eprints.kfupm.edu.sa/id/eprint/14629/info:eu-repo/semantics/openAccessoai::146292019-11-01T14:06:42Z
spellingShingle Solid mechanics-inspired sensor-based motion planner
Charifa, S.M.
Computer
status_str publishedVersion
title Solid mechanics-inspired sensor-based motion planner
title_full Solid mechanics-inspired sensor-based motion planner
title_fullStr Solid mechanics-inspired sensor-based motion planner
title_full_unstemmed Solid mechanics-inspired sensor-based motion planner
title_short Solid mechanics-inspired sensor-based motion planner
title_sort Solid mechanics-inspired sensor-based motion planner
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14629/1/14629_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14629/2/14629_2.doc