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Title:Mobilni robot za lokalizacijo in kartiranje prostora z uporabo senzorja za razdaljo : diplomsko delo
Authors:ID Rašl, Matic (Author)
ID Holobar, Aleš (Mentor) More about this mentor... New window
Files:.pdf UN_Rasl_Matic_2020.pdf (2,13 MB)
MD5: 06AA5A211F58206D4CCD45FBC0D32AD6
PID: 20.500.12556/dkum/06932a67-eaa0-4b1e-a6df-4c346589edeb
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo izdelali konstrukcijo, elektronske komponente in programsko opremo mobilnega robota za izvajanje algoritma SLAM. Izdelali smo namizno aplikacijo, ki je zadolžena za komunikacijo z robotom ter njegovo upravljanje. Opisali smo delovanje algoritma SLAM za kartiranje prostora ter med seboj primerjali rezultate kartiranja pri uporabi različnih nastavitev. Najboljši rezultati so ohranili obliko prostora ter njegove dimenzije z natančnostjo do 2 %.
Keywords:mobilni robot, senzor za razdaljo, kartiranje, lokalizacija, SLAM
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[M. Rašl]
Year of publishing:2020
Number of pages:VIII, 48 f.
PID:20.500.12556/DKUM-77182 New window
UDC:007.52(043.2)
COBISS.SI-ID:38989827 New window
NUK URN:URN:SI:UM:DK:UZ7P4UUM
Publication date in DKUM:03.11.2020
Views:1003
Downloads:145
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:20.08.2020

Secondary language

Language:English
Title:Mobile robot for localization and room mapping with a distance sensor
Abstract:In the diploma thesis, we describe the construction, electronic components, and software of a mobile robot, with the focus on the implementation of the SLAM algorithm. We created a desktop application that is controlling communication with the robot and driving the robot. We described the operation of the SLAM algorithm for spatial mapping and compared the mapping results with different settings. The best results have retained the shape of the space with an accuracy of up to 2 %.
Keywords:mobile robot, distance sensor, mapping, localization, SLAM


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