Examinando por Autor "Castro, Felipe A."

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    Comparison of path planning methods for robot navigation in simulated agricultural environments
    (Elsevier B.V., 2023-03) Vasconez, Juan P.; Basoalto, Fernando; Briceno, Inesmar C.; Pantoja, Jenny M.; Larenas, Roberto A.; Rios, Jhon H.; Castro, Felipe A.
    Path 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. © 2023 Elsevier B.V.. All rights reserved.