Three-Dimensional Path Planning: Navigating through Rough Mereology
<|reference_start|>Three-Dimensional Path Planning: Navigating through Rough Mereology: In this paper, we present an innovative technique for the path planning of flying robots in a 3D environment in Rough Mereology terms. The main goal was to construct the algorithm that would generate the mereological potential fields in 3-dimensional space. To avoid falling into the local minimum, we assist with a weighted Euclidean distance. Moreover, a searching path from the start point to the target, with respect to avoiding the obstacles was applied. The environment was created by connecting two cameras working in real-time. To determine the gate and elements of the world inside the map was responsible the Python Library OpenCV [1] which recognized shapes and colors. The main purpose of this paper is to apply the given results to drones.<|reference_end|>
@article{szpakowska2024three-dimensional,
    title={Three-Dimensional Path Planning: Navigating through Rough Mereology},
    author={Aleksandra Szpakowska and Piotr Artiemjew},
    journal={arXiv preprint arXiv:2405.09282},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.09282},
    primaryClass={cs.RO cs.SY eess.SY}
}