Flow-Based Path Planning for Multiple Homogenous UAVs for Outdoor Formation-Flying
Abstract
Collision-free path planning is the most crucial component in multi-UAV formation-flying (MFF). We use unlabeled homogenous quadcopters (UAVs) to demonstrate the use of a flow network to create complete (inter-UAV) collision-free paths. This procedure has three main parts: 1) Creating a flow network graph from physical GPS coordinates, 2) Finding a path of minimum cost (least distance) using any graph-based path-finding algorithm, and 3) Implementing the Ford-Fulkerson Method to find the paths with the maximum flow (no collision). Simulations of up to 64 UAVs were conducted for various formations, followed by a practical experiment with 3 quadcopters for testing physical plausibility and feasibility. The results of these tests show the efficacy of this method's ability to produce safe, collision-free paths.
Keywords
Cite
@article{arxiv.2511.19653,
title = {Flow-Based Path Planning for Multiple Homogenous UAVs for Outdoor Formation-Flying},
author = {Mahmud Suhaimi Ibrahim and Shantanu Rahman and Muhammad Samin Hasan and Minhaj Uddin Ahmad and Abdullah Abrar},
journal= {arXiv preprint arXiv:2511.19653},
year = {2025}
}
Comments
9 pages, 15 figures, conference