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Title:Optimizacija algoritma za avtonomno navigacijo mobilnega robota : magistrsko delo
Authors:ID Popič, Gregor (Author)
ID Klančnik, Simon (Mentor) More about this mentor... New window
ID Truntič, Mitja (Mentor) More about this mentor... New window
ID Rakun, Jurij (Comentor)
Files:.pdf MAG_Popic_Gregor_2024.pdf (4,26 MB)
MD5: 8B06776E997785939D8E6C9EB6F17135
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:Magistrsko delo opisuje delovanje algoritma avtonomne navigacije robota FarmBeast, ki je namenjen avtomatizaciji različnih kmetijskih opravil, sekundarno pa tudi za tekmovanje Field Robot Event v sklopu panoge osnovne in napredne navigacije. Za delovanje so uporabljeni napredni senzorji, kot sta LiDAR in IMU, pri čemer se podatki filtrirajo in transformirajo z namenom natančnejše zaznave podatkov o okolici robota. Ob tem je za potrebe obračanja implementirana uporaba kvaternionov, kar pripomore k večji natančnosti in robustnosti delovanja. Testiranja, na podlagi primerjave s predhodno verzijo algoritma, so pokazala znatno izboljšanje hitrosti in večjo natančnost vožnje ter izrazito zmanjšanje poškodovanih rastlin. Meritve potrjujejo, da je novo razviti algoritem bolj učinkovit in bolj zanesljiv v primerjavi s predhodno verzijo.
Keywords:FarmBeast robot, avtonomna navigacija, kmetijska avtomatizacija, optimizacija algoritma
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[G. Popič]
Year of publishing:2024
Number of pages:1 spletni vir (1 datoteka PDF (X, 63 f.))
PID:20.500.12556/DKUM-90684 New window
UDC:007.52(043.2)
COBISS.SI-ID:215965955 New window
Publication date in DKUM:03.10.2024
Views:281
Downloads:73
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
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Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:16.09.2024

Secondary language

Language:English
Title:Optimization of autonomous mobile robot navigation algorithm
Abstract:The master's thesis describes the autonomous navigation algorithm of the FarmBeast robot, which is designed to automate agricultural tasks, while also competing in the Field Robot Event in the basic and advanced navigation categories. The robot uses advanced sensors, such as LiDAR and IMU, with data being filtered and transformed to ensure more accurate perception of the robot's surroundings. Additionally, quaternions are implemented for turning, which contribute to greater precision and robustness in performance. Testing, based on comparisons with the previous version of the algorithm, has shown a significant improvement in speed and driving accuracy, along with a substantial reduction in plant damage. The results confirm that the newly developed algorithm is more efficient and reliable compared to the previous version.
Keywords:FarmBeast robot, autonomous navigation, agricultural automation, algorithm optimization


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