Classical models of collective behavior often take a “bird's-eye perspective,” assuming that
individuals have access to social information that is not directly available (eg, the behavior of …

This paper addresses anomaly detection and monitoring for swarm drone flights. While the
current practice of swarm flight typically relies on the operator's naked eyes to monitor health …

The interest in multi-drone systems flourished in the last decade and their application is
promising in many fields. We believe that in order to make drone swarms flying smoothly …

Decentralized coordination of a robot swarm requires addressing the tension between local
perceptions and actions, and the accomplishment of a global objective. In this work, we …

The scale and scope of global logistics systems make real-time visibility of individual assets
in global logistics systems difficult. Aggregating global logistics data to a manageable level …

A control and relative localization approach for a swarm of unmanned aerial vehicles (UAVs)
flying in a forest environment is proposed in this paper. To achieve robust mutual relative …

In this paper, we perform the actual verification of the anomaly detection (AD) model of each
drone that indicates the anomaly in swarm drone flight using the actual flight data. For this …

Multi-quadrotor systems hold substantial promise for various applications, yet navigating
autonomously in complex and unknown environments like forests and alleyways remains a …

A decentralized swarm approach for the fast cooperative flight of Unmanned Aerial Vehicles
(UAVs) in feature-poor environments without any external localization and communication is …

Autonomous cooperative flight of multiple UAVs in complex and unknown environments
such as jungles poses significant challenges. Existing approaches often rely on wireless …