Comparison of path planning methods for robot navigation in simulated agricultural environments

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dc.contributor.authorVásconez, J.
dc.contributor.authorBasoalto, F.
dc.contributor.authorBriceño, I.
dc.contributor.authorPantoja, J.
dc.contributor.authorLarenas, R.
dc.contributor.authorRios, J.
dc.contributor.authorCastro, F.
dc.date.accessioned2024-09-06T16:07:19Z
dc.date.available2024-09-06T16:07:19Z
dc.date.issued2023
dc.description.abstractPath planning is a research topic that is still being studied for the area of mobile robotics. However, path-planning algorithms for mobile robot applications depend strongly on the environment and its complexity. In this work, we implemented three different path-planning algorithms for a simulated agricultural process. The selected algorithms are Breadth First search (BFS), Depth first search (DFS), and A*. We compare and evaluate such algorithms by using different accuracy metrics. The results demonstrate that the A* path planning method outperforms the other methods considering processing time, travel time, distance, and battery consumption.
dc.description.urihttps://www-sciencedirect-com.recursosbiblioteca.unab.cl/science/article/pii/S1877050923006579
dc.identifier.citationProcedia Computer Science, Volume 220, 2023, Pages 898-903
dc.identifier.doihttps://doi.org/10.1016/j.procs.2023.03.122
dc.identifier.issn1877-0509
dc.identifier.urihttps://repositorio.unab.cl/handle/ria/59931
dc.language.isoen
dc.publisherElsevier
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International
dc.subjectPath planning
dc.subjectMobile robot
dc.subjectAgriculture
dc.titleComparison of path planning methods for robot navigation in simulated agricultural environments
dc.typeArtículo
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