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Optimering av zonindelning för robotgräsklippare med hjälp av olika Exact cellular decomposition metoder
Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
2023 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Sustainable development
Sustainable Development
Alternative title
Optimizing zone division for robotic lawn mowers using different Exact cellular decomposition methods : With a Coverage Path Planning method (English)
Place, publisher, year, edition, pages
2023. , p. 27
Keywords [en]
Exact cellular decomposition, Robotic lawn mower
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:hj:diva-61712ISRN: JU-JTH-DTA-1-20230189OAI: oai:DiVA.org:hj-61712DiVA, id: diva2:1777001
External cooperation
Walda Keza
Subject / course
JTH, Computer Engineering
Presentation
2023-06-15, E1022, Gjuterigatan 3, Jönköping, 14:15 (English)
Supervisors
Examiners
Available from: 2023-06-29 Created: 2023-06-28 Last updated: 2025-10-13Bibliographically approved

Open Access in DiVA

fulltext(581 kB)420 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf