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

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...

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Bibliographic Details
Published in:Procedia computer science 2023, Vol.220, p.898-903
Main Authors: Vásconez, Juan P., Basoalto, Fernando, Briceño, Inesmar C., Pantoja, Jenny M., Larenas, Roberto A., Rios, Jhon H., Castro, Felipe A.
Format: Article
Language:English
Subjects:
Agriculture
Mobile robot
Path planning
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Summary: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.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2023.03.122