UAV assistance paradigm: State-of-the-art in applications and challenges
Abstract Unmanned Aerial Vehicles (UAVs) are an emerging technology with the potential to
be used in industries and various sectors of human life to provide a wide range of …
be used in industries and various sectors of human life to provide a wide range of …
Unmanned aerial vehicles/drones in vehicle routing problems: a literature review
D Rojas Viloria, EL Solano‐Charris… - International …, 2021 - Wiley Online Library
During recent years, advances in drone technologies have made them applicable in various
fields of industry, and their popularity continues to grow. In this paper, the academic …
fields of industry, and their popularity continues to grow. In this paper, the academic …
Metaheuristic optimization-based path planning and tracking of quadcopter for payload hold-release mission
Under harsh geographical conditions where manned flight is not possible, the ability of the
unmanned aerial vehicle (UAV) to successfully carry out the payload hold–release mission …
unmanned aerial vehicle (UAV) to successfully carry out the payload hold–release mission …
[HTML][HTML] UAV in the advent of the twenties: Where we stand and what is next
Abstract The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades,
making them popular instruments for a wide range of applications, and leading to a …
making them popular instruments for a wide range of applications, and leading to a …
A survey on the application of path-planning algorithms for multi-rotor UAVs in precision agriculture
Multi-rotor Unmanned Aerial Vehicles (UAVs), although originally designed and developed
for defence and military purposes, in the last ten years have gained momentum, especially …
for defence and military purposes, in the last ten years have gained momentum, especially …
Cooperative path planning of UAVs & UGVs for a persistent surveillance task in urban environments
Y Wu, S Wu, X Hu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
There have been many applications of drones in urban environments, such as delivery,
rescue, and surveillance. In a persistent surveillance task, the drones sometimes cannot …
rescue, and surveillance. In a persistent surveillance task, the drones sometimes cannot …
[HTML][HTML] Dynamic differential annealed optimization: New metaheuristic optimization algorithm for engineering applications
HN Ghafil, K Jármai - Applied Soft Computing, 2020 - Elsevier
This work proposes a novel optimization algorithm which can be used to solve a wide range
of mathematical optimization problems where the global minimum or maximum is required …
of mathematical optimization problems where the global minimum or maximum is required …
A review of recent advances in coordination between unmanned aerial and ground vehicles
Coordination between unmanned aerial vehicles (UAVs) and unmanned ground vehicles
(UGVs) has received increasing attention in recent years. The list of successful applications …
(UGVs) has received increasing attention in recent years. The list of successful applications …
Multi-UAV navigation for partially observable communication coverage by graph reinforcement learning
In this paper, we aim to design a deep reinforcement learning (DRL) based control solution
to navigating a swarm of unmanned aerial vehicles (UAVs) to fly around an unexplored …
to navigating a swarm of unmanned aerial vehicles (UAVs) to fly around an unexplored …
Multi-robot task allocation problem with multiple nonlinear criteria using branch and bound and genetic algorithms
The paper proposes the formulation of a single-task robot (ST), single-robot task (SR), time-
extended assignment (TA), multi-robot task allocation (MRTA) problem with multiple …
extended assignment (TA), multi-robot task allocation (MRTA) problem with multiple …