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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Online-Zugang: | https://arxiv.org/abs/2405.09282 |
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| _version_ | 1866909203849805824 |
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| author | Szpakowska, Aleksandra Artiemjew, Piotr |
| author_facet | Szpakowska, Aleksandra Artiemjew, Piotr |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_09282 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Three-Dimensional Path Planning: Navigating through Rough Mereology Szpakowska, Aleksandra Artiemjew, Piotr Robotics Systems and Control 68T40, 70E60, 52B05, 37M05, 80M50 I.6.3 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. |
| title | Three-Dimensional Path Planning: Navigating through Rough Mereology |
| topic | Robotics Systems and Control 68T40, 70E60, 52B05, 37M05, 80M50 I.6.3 |
| url | https://arxiv.org/abs/2405.09282 |