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Title:Načrtovanje in implementacija optimizacijskega algoritma rojev delcev za lokalizacijo mobilnega robota pepper : magistrsko delo
Authors:ID Rot Weiss, Erik (Author)
ID Klančnik, Simon (Mentor) More about this mentor... New window
ID Šafarič, Riko (Mentor) More about this mentor... New window
ID Bratina, Božidar (Comentor)
Files:.pdf MAG_Rot_Weiss_Erik_2023.pdf (3,12 MB)
MD5: B6C6A71D40C50FD2F8FB800BA474861C
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:V tem magistrskem delu se raziskuje načrtovanje in implementacija optimizacijskega algoritma rojev delcev za lokalizacijo mobilnega robota Pepper. Osredotočamo se na interpretacijo senzorskih meritev z uporabo algoritma rojev delcev in njegovo primerjavo z genetski algoritmom. Preizkušamo algoritem v izven omrežnem okolju lokalizacije, kjer so podatki, ki so obravnavani, prave meritve LiDAR v znanih točkah v prostoru. Delo se konča z implementacijo algoritma na robota za sočasno lokalizacijo med obratovanjem robota.
Keywords:lokalizacija, mobilni robot Pepper, algoritem rojev delcev, genetski algoritem, LiDAR meritve
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[E. Rot Weiss]
Year of publishing:2023
Number of pages:1 spletni vir (1 datoteka PDF (IX, 65 f.))
PID:20.500.12556/DKUM-85203 New window
UDC:004.8.021:(043.2)
COBISS.SI-ID:168840195 New window
Publication date in DKUM:06.09.2023
Views:598
Downloads:59
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
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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:22.08.2023

Secondary language

Language:English
Title:Design and implementation of a particle swarm optimization algorithm for localization of the pepper mobile robot
Abstract:In this master's thesis, we explore the planning and implementation of a particle swarm optimization algorithm for the localization of the mobile robot Pepper. The focus is on the interpretation of sensor measurements using the particle swarm algorithm and its comparison with the genetic algorithm. The algorithm is tested in an off-line localization environment, where the data considered are actual LiDAR measurements from a known location of the robot. The work concludes with the implementation of the algorithm on the robot for simultaneous localization during the robots operation.
Keywords:localization, mobile robot Pepper, particle swarm algorithm, genetic algorithm, LiDAR measurements


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