This work proposes a framework that generates and optimally selects task-specific assembly configurations for a large group of homogeneous modular aerial systems, explicitly enforcing bounds on inter-module downwash. Prior work largely focuses on planar layouts and often ignores aerodynamic interference. In contrast, firstly we enumerate non-isomorphic connection topologies at scale; secondly, we solve a nonlinear program to check feasibility and select the configuration that minimizes control input subject to actuation limits and downwash constraints. We evaluate the framework in physics-based simulation and demonstrate it in real-world experiments.
@article{arxiv.2602.18344,
title = {Downwash-aware Configuration Optimization for Modular Aerial Systems},
author = {Mengguang Li and Heinz Koeppl},
journal= {arXiv preprint arXiv:2602.18344},
year = {2026}
}
Comments
Accepted to the IEEE International Conference on Robotics and Automation (ICRA) 2026