Multi-agent systems for quadcopters

TL;DR

This paper explores multi-agent coordination for UAVs, focusing on agreement protocols and quadcopter dynamics, to enhance collaborative remote sensing missions through simulation-based validation.

Contribution

It introduces a novel combination of agreement protocols with quadcopter dynamics, integrating local information and nonlinear control systems for UAV collaboration.

Findings

Successful simulation of agreement protocols for quadcopters

Enhanced particle graph approach with orientation considerations

Demonstrated potential for improved UAV collaboration in remote sensing

Abstract

Unmanned Aerial Vehicles (UAVs) have been increasingly used in the context of remote sensing missions such as target search and tracking, mapping, or surveillance monitoring. In the first part of our paper we consider agent dynamics, network topologies, and collective behaviors. The objective is to enable multiple UAVs to collaborate toward a common goal, as one would find in a remote sensing setting. An agreement protocol is carried out by the multi-agents using local information, and without external user input. The second part of the paper focuses on the equations of motion for a specific type of UAV, the quadcopter, and expresses them as an affine nonlinear control system. Finally, we illustrate our work with a simulation of an agreement protocol for dynamically sound quadcopters augmenting the particle graph theoretic approach with orientation and a proper dynamics for quadcopters.