This research presents an online path planner for Unmanned Aerial Vehicles (UAVs) that can handle dynamic obstacles and UAV motion constraints, including maximum curvature and desired orientations. Our proposed planner uses a NURBS path representation and a Differential Evolution algorithm, incorporating concepts from the Velocity Obstacle approach in a constraint function. Initial results show that our approach is feasible and provides a foundation for future extensions to three-dimensional (3D) environments.
@article{arxiv.2410.18777,
title = {Online path planning for kinematic-constrained UAVs in a dynamic environment based on a Differential Evolution algorithm},
author = {Elias J. R. Freitas and Miri Weiss Cohen and Frederico G. Guimarães and Luciano C. A. Pimenta},
journal= {arXiv preprint arXiv:2410.18777},
year = {2024}
}
Comments
Accepted to the 40th Anniversary of the IEEE Conference on Robotics and Automation (ICRA@40)