Due to recent booming of unmanned air vehicles (UAVs) technologies, these are being used
in many fields involving complex tasks. Some of them involve a high risk to the vehicle …

Management and mission planning over a swarm of unmanned aerial vehicle (UAV)
remains to date as a challenging research trend in what regards to this particular type of …

Exploiting unmanned aerial vehicles (UAVs) to execute tasks is gaining growing popularity
recently. To address the underlying task scheduling problem, conventional exact and …

Abstract Recent miniaturization in Unmanned Aerial Vehicles (UAVs) technology
encourages the use of many small UAVs for search missions in unknown environments …

Artificial intelligence and machine learning (AI/ML) technologies convert conventional
engineered systems into autonomous systems that are capable of performing tasks in their …

Over the last decade, developments in unmanned aerial vehicles (UAVs) has greatly
increased, and they are being used in many fields including surveillance, crisis …

The current boom of Unmanned Aerial Vehicles (UAVs) is increasing the number of potential
industrial and research applications. One of the most demanded topics in this area is related …

Mobile crowdsensing is a new paradigm for intelligent mobile devices to collect and share
various types of sensing data in the urban environment. The recent rapid development of …

Purpose Multi-unmanned aerial vehicle (UAV) systems have succeeded in gaining the
attention of researchers in diversified fields, especially in the past decade, owing to their …

This work explores the potential of game theory to solve the task allocation problem in multi-
robot missions. The problem considers a swarm with dozens of drones that only know their …