Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint

A Master of Science thesis in Mechatronics Engineering by Ismail Tareq Raslan entitled, “Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint”, submitted in June 2024. Thesis advisor is Dr. Lotfi Romdhane and thesis co-advisor is Dr. Mohammad Jaradat. Soft copy is avai...

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Main Author: Raslan, Ismail Tareq (author)
Format: doctoralThesis
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/11073/25730
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author Raslan, Ismail Tareq
author_facet Raslan, Ismail Tareq
author_role author
dc.contributor.none.fl_str_mv Romdhane, Lotfi
Jaradat, Mohammad
dc.creator.none.fl_str_mv Raslan, Ismail Tareq
dc.date.none.fl_str_mv 2024-12-10T07:49:29Z
2024-12-10T07:49:29Z
2024-06
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2024.43
https://hdl.handle.net/11073/25730
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Robotic Rehabilitation
MSK Modelling
Genetic Algorithms
Adaptive Control
Fuzzy Logic
dc.title.none.fl_str_mv Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Mechatronics Engineering by Ismail Tareq Raslan entitled, “Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint”, submitted in June 2024. Thesis advisor is Dr. Lotfi Romdhane and thesis co-advisor is Dr. Mohammad Jaradat. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
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identifier_str_mv 35.232-2024.43
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network_acronym_str aus
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oai_identifier_str oai:repository.aus.edu:11073/25730
publishDate 2024
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spelling Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck JointRaslan, Ismail TareqRobotic RehabilitationMSK ModellingGenetic AlgorithmsAdaptive ControlFuzzy LogicA Master of Science thesis in Mechatronics Engineering by Ismail Tareq Raslan entitled, “Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint”, submitted in June 2024. Thesis advisor is Dr. Lotfi Romdhane and thesis co-advisor is Dr. Mohammad Jaradat. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).College of EngineeringMultidisciplinary ProgramsMaster of Science in Mechatronics Engineering (MSMTR)Romdhane, LotfiJaradat, Mohammad2024-12-10T07:49:29Z2024-12-10T07:49:29Z2024-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2024.43https://hdl.handle.net/11073/25730en_USoai:repository.aus.edu:11073/257302025-06-26T12:27:31Z
spellingShingle Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint
Raslan, Ismail Tareq
Robotic Rehabilitation
MSK Modelling
Genetic Algorithms
Adaptive Control
Fuzzy Logic
status_str publishedVersion
title Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint
title_full Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint
title_fullStr Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint
title_full_unstemmed Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint
title_short Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint
title_sort Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint
topic Robotic Rehabilitation
MSK Modelling
Genetic Algorithms
Adaptive Control
Fuzzy Logic
url https://hdl.handle.net/11073/25730