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dc.contributor.advisorRomdhane, Lotfi
dc.contributor.advisorJaradat, Mohammad Abdel Kareem Rasheed
dc.contributor.authorMohammed, Hussein Ali
dc.date.accessioned2019-01-23T04:52:24Z
dc.date.available2019-01-23T04:52:24Z
dc.date.issued2018-11
dc.identifier.other35.232-2018.29
dc.identifier.urihttp://hdl.handle.net/11073/16378
dc.descriptionA Master of Science thesis in Mechatronics Engineering by Hussein Ali Mohammed entitled, “Mobile Robot Navigation in Dynamic Environments Using an Improved RRT* Approach”, submitted in November 2018. Thesis advisor is Dr. Lotfi Romdhane and thesis co-advisor is Dr. Mohammad Jaradat. Soft and hard copy available.en_US
dc.description.sponsorshipCollege of Engineeringen_US
dc.description.sponsorshipMultidisciplinary Programsen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesMaster of Science in Mechatronics Engineering (MSMTR)en_US
dc.subjectRRTen_US
dc.subjectRapidly-Exploring Random Tree (RRT)en_US
dc.subjectRRT*en_US
dc.subjectRapidly- Exploring Random Tree Star (RRT*)en_US
dc.subjectNavigationen_US
dc.subjectStaticen_US
dc.subjectDynamicen_US
dc.subjectPath planningen_US
dc.subjectOptimal pathen_US
dc.subjectMobile roboten_US
dc.titleMobile Robot Navigation in Dynamic Environments Using an Improved RRT* Approachen_US
dc.typeThesisen_US


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