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Primerjava metod za lokalno načrtovanje poti mobilnega robotskega sistema
ID STEFANOV, ALEKSANDAR (Author), ID Mihelj, Matjaž (Mentor) More about this mentor... This link opens in a new window, ID Podobnik, Janez (Co-mentor)

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Abstract
V diplomskem delu je predstavljena primerjava med algoritmi, ki se uporabljajo za lokalno načrtovanje poti za avtonomno navigacijo mobilnega robotskega sistema, razvitega v Laboratoriju za robotiko Fakultete za elektrotehniko Univerze v Ljubljani. Algoritmi, ki so bili preizkušeni med raziskavo, so "Elastic band", "Time elastic band", "Nearness diagram", "Trajectory rollout" in "Dynamic window approach". Delo je vključevalo razvoj visokonivojske logike za vodenje mobilnega robotskega sistema ter izvajanje in parametrizacijo algoritmov. Nato je bila zasnovana metoda vrednotenja algoritmov in oblikovani so bili ustrezni scenariji, ki so se med seboj razlikovali po zahtevnosti. Ko sta bila zasnova in razvoj zaključena, je bila platforma temeljito preizkušena v resničnem okolju, vsi rezultati pa so bili dokumentirani. Končni cilj je bil ovrednotiti vse algoritme na podlagi rezultatov pridobljenih pri testiranju, in oblikovati sklep o tem, kateri od obravnavanih algoritmov bi bil najprimernejši za mobilni robotski sistem. Na začetku diplomske naloge smo bralcu predstavili celotno teoretično ozadje, ki je potrebno za razumevanje delovanja platforme, kot tudi znanje glede navigacijskih algoritmov in načina, s katerim bodo algoritmi ovrednoteni in primerjani med seboj. Strojna oprema platforme, ki je bistvena za vzpostavitev dobre navigacije v avtonomnih sistemih, je nato predstavljena. Predstavili smo senzorno opremo za navigacijo ter računalnik in industrijski programirljivi logični krmilnik, ki sta osnova za obdelavo podatkov. Nato sta predstavljeni nizko- in visokonivojska programska oprema, pri čemer je bil večji poudarek na visokonivojski programski opremi (okolje ROS), saj je diplomska naloga bolj osredotočena na vsebine, povezane s to opremo. Sledi razlaga zasnove scenarijev in zasnova postopka testiranja. V zadnjem delu smo predstavili rezultate in jih analizirali z namenom primerjave uspešnosti posameznih algoritmov. Rezultate smo predstavili za vsako področje primerjave in za vsak scenarij posebej, da bi bralcu čim bolj olajšali pregled rezultatov. Ob koncu tega dela smo povzeli splošne rezultate in pridobili končni sklep glede primernosti algoritmov za našo mobilno robotsko platformo. Ugotovili smo, da sta najprimernejša algoritma "Elastic band" in "Time elastic band". V zaključku diplomskega dela smo ponovno pregledali cilje in pojasnili potek dela. Omenimo tudi sklepe, ki smo jih izpeljali iz diplomskega dela. Na koncu smo predstavili morebitne nadgradnje in izboljšave raziskave ter opisali možne prihodnje smeri raziskav na tem področju.

Language:Slovenian
Keywords:mobilni robotski sistem, avtonomni mobilni robotski sistem, avtonomna vožnja, algoritmi za lokalno načrtovanje poti, ROS, vodenje mobilne robotske platforme, primerjava algoritmov, mobilna robotika, iskanje poti
Work type:Bachelor thesis/paper
Organization:FE - Faculty of Electrical Engineering
Year:2022
PID:20.500.12556/RUL-140020 This link opens in a new window
COBISS.SI-ID:121011971 This link opens in a new window
Publication date in RUL:09.09.2022
Views:584
Downloads:123
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Secondary language

Language:English
Title:Comparison of methods for local path planning of a mobile robot system
Abstract:
The thesis addresses the comparison between algorithms used in the field of local path planning for autonomous navigation of a mobile robotic system developed at the Laboratory of Robotics, Faculty of Electrical Engineering, University of Ljubljana. The algorithms tested during the research are: "Elastic band", "Time elastic band", "Nearness diagram", "Trajectory rollout" and "Dynamic window approach". The work involved the development of high-level logic to control a mobile robotic system (navigation framework) and the process of implementation and parameters tuning of the algorithms. Then, the evaluation principle of the algorithms was conceived and the corresponding scenarios were designed, which varied in complexity among each other. Once the design and development were completed, the platform was thoroughly tested in a real environment and all results were documented. The final objective was to evaluate all the algorithms on the basis of the results obtained from the ongoing testing, and thus to draw a conclusion as to which of the algorithms considered would be the most suitable for our mobile robotic system. At the beginning of the diploma thesis, we have presented the reader with all the theoretical background necessary to understand how the platform works, as well as the knowledge regarding the navigation algorithms and the way in which the algorithms will be evaluated and compared with each other. The hardware of the platform, which is essential to establish good navigation in autonomous systems, was presented afterwards. We have presented the sensor equipment for navigation and the computer and industrial programmable logic controller (PLC) that are the basis for data processing. Then low- and high-level software were presented, with more emphasis on high-level software (ROS environment), as the thesis itself is more focused on things related to this equipment. This was followed by an explanation of the design of the scenarios and the design of the testing procedure. In the last part, the results were presented and analyzed in order to compare the performance of the different algorithms. The results are presented for each area of comparison and for each scenario separately in order to make it as easy as possible for the reader to review the results. At the end of this section, we summarize the overall results and draw a final conclusion regarding the suitability of the algorithms for our mobile robotic platform. We found that the most suitable algorithms are "Elastic band" and "Time elastic band". In the conclusion of this diploma thesis, we revisit the objectives and explain the overall workflow of the thesis. We also mention the conclusions we have drawn from the thesis. Finally, we outline possible upgrades and improvements to the research and describe possible future research directions in this area.

Keywords:mobile robot system, autonomous mobile robot system, autonomous driving, algorithms for local path planning, ROS, mobile robot platform control, comparing algorithms, mobile robotics, pathfinding

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