This paper presents an Oxyrrhis Marina-inspired search and dynamic formation control
(OMS-DFC) framework for multi-unmanned aerial vehicle (UAV) systems to efficiently search …

A fleet of unmanned aerial vehicles (UAVs) provide a new and unique type of distributed
computing paradigm and platform. This is a distributed computing environment with mobile …

This paper focuses on cooperative multi-task assignment and re-assignment problems when
multiple unmanned aerial vehicles (UAVs) attack multiple known targets. A unified multi …

A decentralized swarm of quadcopters designed for monitoring an open area and detecting
intruders is proposed. The system is designed to be scalable and robust. The most important …

Abstract Unmanned Aerial Vehicles (UAVs), mobile stations and self-operation sensor
nodes consist a potential next generation wireless network. The key problem is task …

Unmanned aerial vehicles (UAVs) are widely used in various military and civilian
applications. UAV mission scheduling is a key issue in UAV applications and a central topic …

This paper addresses the music-playing robot problem, which is a benchmark problem for
the spatio-temporal multi-task assignment problem. In the music-playing robot problem, an …

This article presents a metacognitive decision-making (MDM) framework inspired by human-
like metacognitive principles. The MDM framework is incorporated in unmanned aerial …

Military planning operations deal with highly dynamic environments and a variety of complex
optimization challenges. In order to support decision-makers in this process, innovative …

The paper focuses on the issue of capturing a moving target for multiple unmanned aerial
vehicles (UAVs). The problem involves a group of UAVs to create a formation-pursuit in the …