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A Comparison of Predefined and Dynamic Mapping for Open-Source AMRs
University of Skövde, School of Informatics.
University of Skövde, School of Informatics.
2023 (English)Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

With the trend toward more connected and automated industries, the benefits of an open-source version of standard solutions become clear. It is common place to use proprietary Automated Guided Vehicles (AGV); however, using open-source Autonomous Mobile Robot (AMR) solutions would allow smaller and medium-sized businesses to compete with larger businesses. Implementing an open-source solution would require adapting a mapping technique that it will use. The study compares using a predefined map and a dynamically run-time generated map and the difference in time from start to destination and the distance traveled. The results show that the dynamic and predefined perform better or worse depending on the environment. Using predefined mapping indicates an overall better solution for industries because while the distance and time are pretty close, the variance difference is too significant for an environment that requires consistency. 

Place, publisher, year, edition, pages
2023. , p. 32
Keywords [en]
Mapping, AMR, AGV, Open-Source, Industry 4.0
National Category
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-22671OAI: oai:DiVA.org:his-22671DiVA, id: diva2:1765707
External cooperation
Assar Industrial Innovation Arena
Subject / course
Informationsteknologi
Educational program
Computer Science - Specialization in Systems Development
Supervisors
Examiners
Available from: 2023-06-12 Created: 2023-06-12 Last updated: 2023-06-12Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
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More styles
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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  • Other locale
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Output format
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