Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/435242
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-01-03T05:55:28Z | - |
dc.date.available | 2023-01-03T05:55:28Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/435242 | - |
dc.description.abstract | Abstract Included newline | |
dc.format.extent | xvii, 179p | |
dc.language | English | |
dc.relation | 188 | |
dc.rights | university | |
dc.title | Design and analysis of robust algorithms for path planning of unmanned ground vehicles in static and dynamic environments | |
dc.title.alternative | ||
dc.creator.researcher | SANGEETHA V | |
dc.subject.keyword | Automation and Control Systems | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | References 166-176, Appendix 177-179p | |
dc.contributor.guide | Ravichandran K S | |
dc.publisher.place | Thanjavur | |
dc.publisher.university | SASTRA University | |
dc.publisher.institution | School of Computing | |
dc.date.registered | 2015 | |
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | 28 Cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | School of Computing |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title page.pdf | Attached File | 48.59 kB | Adobe PDF | View/Open |
02_prelim.pdf | 1.47 MB | Adobe PDF | View/Open | |
03_table of contents.pdf | 89.25 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 86.12 kB | Adobe PDF | View/Open | |
05_chapter_01.pdf | 2.03 MB | Adobe PDF | View/Open | |
06_chapter_02.pdf | 2.89 MB | Adobe PDF | View/Open | |
07_chapter_03.pdf | 3.13 MB | Adobe PDF | View/Open | |
08_chapter_04.pdf | 3.36 MB | Adobe PDF | View/Open | |
09_chapter_0 5.pdf | 93.43 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 619.23 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 141.71 kB | Adobe PDF | View/Open |
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