2024/05/15 by Aleksandra Szpakowska, Szpakowska, Aleksandra, Piotr Artiemjew +1
Computer Science · #37M05 #52B05 #68T40 #70E60 #80M50 #Artificial Intelligence in Games #Data Management and Algorithms #FOS: Computer and information sciences #FOS: Electrical engineering #I.6.3 #Natural Language Processing Techniques #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2405.09282
openalex publication_date 2024/05/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.