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Title:Lokalizacija, zaznavanje objektov in navigacija robota FarmBeast v ograjenem okolju : magistrsko delo
Authors:ID Naveršnik, Urban (Author)
ID Truntič, Mitja (Mentor) More about this mentor... New window
ID Rakun, Jurij (Comentor)
Files:.pdf MAG_Naversnik_Urban_2025.pdf (8,12 MB)
MD5: F8DD3F334108CD59D41AD076C1BE9D99
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Magistrsko delo zajema razvoj in implementacijo algoritmov za lokalizacijo, navigacijo in zaznavanje objektov v ograjenem okolju. Ti so bili implementirani na robotu FarmBeast, ki je bil uporabljen na tekmovanju FRE 2025. Pri delovanju sistema so bili uporabljeni senzorji LiDAR, RGBD kamere in IMU. Za načrtovanje poti so bile primerjane metode A*, D* in hibridni A* z nadaljnjo implementacijo A* in okrnjene verzije hibridne A*. Podobno so bile ocenjene metode vodenja PD, PID in pure pursuit ter na podlagi meritev implementirana pure pursuit. Lokalizacija je bila izvedena z uporabo obstoječe knjižnice Hector SLAM, ki omogoča kartiranje okolice z enovrstičnim LiDAR-jem. Rezultati potrjujejo učinkovitost uporabljenih algoritmov in metod, kar dokazuje tudi doseženo 2. mesto na tekmovanju FRE 2025.
Keywords:FarmBeast robot, lokalizacija, avtonomna navigacija, zaznavanje objektov, SLAM
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[U. Naveršnik]
Year of publishing:2025
Number of pages:1 spletni vir (1 datoteka PDF (XV, 91 str.))
PID:20.500.12556/DKUM-95478 New window
UDC:007.52:528.8.044.6(043.2)
COBISS.SI-ID:261332995 New window
Publication date in DKUM:23.10.2025
Views:192
Downloads:52
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:21.09.2025

Secondary language

Language:English
Title:Localization, object detection and navigation of the robot FarmBeast in a confined environment
Abstract:The master’s thesis covers the development and implementation of algorithms for localization, navigation and detection of objects in a confined environment. These were implemented on the FarmBeast robot, which was used in the FRE 2025 competition. LiDAR sensors, RGBD cameras and IMU were used in the system’s operation. For path planning, the A*, D* and hybrid A* methods were compared with a further implementation of A* and a simplified version of hybrid A*. Similarly, the PD, PID and pure pursuit guidance methods were evaluated, and pure pursuit was implemented based on the measurements. Localization was performed using the existing Hector SLAM library, which enables mapping of the environment with a single-line LiDAR. The results confirm the effectiveness of the algorithms and methods used, as evidenced by the second place achieved in the FRE 2025 competition.
Keywords:FarmBeast robot, localization, autonomous navigation, object detection, SLAM


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