Aerial swarms: Recent applications and challenges
Abstract Purpose of Review Currently, there is a large body of research on multi-agent
systems addressing their different system theoretic aspects. Aerial swarms as one type of …
systems addressing their different system theoretic aspects. Aerial swarms as one type of …
Coverage path planning of heterogeneous unmanned aerial vehicles based on ant colony system
J Chen, F Ling, Y Zhang, T You, Y Liu, X Du - Swarm and Evolutionary …, 2022 - Elsevier
Unmanned aerial vehicle (UAV) has been extensively studied and widely adopted in
practical systems owing to its effectiveness and flexibility. Although heterogeneous UAVs …
practical systems owing to its effectiveness and flexibility. Although heterogeneous UAVs …
Uavs for industrial applications: Identifying challenges and opportunities from the implementation point of view
New technologies such as Unmanned Aerial Vehicles (UAV) are constantly being
introduced under the Industry 4.0 framework. Although UAVs are mainly used in civil and …
introduced under the Industry 4.0 framework. Although UAVs are mainly used in civil and …
Three dimensional path planning using Grey wolf optimizer for UAVs
Robot path planning is essential to identify the most feasible path between a start point and
goal point by avoiding any collision in the given environment. This task is an NP-hard …
goal point by avoiding any collision in the given environment. This task is an NP-hard …
Drone swarm strategy for the detection and tracking of occluded targets in complex environments
RJ Amala Arokia Nathan, I Kurmi… - Communications …, 2023 - nature.com
Drone swarms can achieve tasks via collaboration that are impossible for single drones
alone. Synthetic aperture (SA) sensing is a signal processing technique that takes …
alone. Synthetic aperture (SA) sensing is a signal processing technique that takes …
A differential game for cooperative target defense
L Liang, F Deng, Z Peng, X Li, W Zha - Automatica, 2019 - Elsevier
Multi-player pursuit–evasion games are crucial for addressing the maneuver decision
problem arising in the cooperative control of multi-agent systems. This work addresses a …
problem arising in the cooperative control of multi-agent systems. This work addresses a …
State-of-the-art intelligent flight control systems in unmanned aerial vehicles
F Santoso, MA Garratt… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
We discuss state-of-the-art intelligent robotic aircraft with the special focus on evolutionary
autopilots for small unmanned aerial vehicles (UAVs). Under the umbrella of adaptive …
autopilots for small unmanned aerial vehicles (UAVs). Under the umbrella of adaptive …
A dynamic artificial potential field (D-APF) UAV path planning technique for following ground moving targets
HM Jayaweera, S Hanoun - IEEE access, 2020 - ieeexplore.ieee.org
Path planning is a vital and challenging component in the support of Unmanned Aerial
Vehicles (UAVs) and their deployment in autonomous missions, such as following ground …
Vehicles (UAVs) and their deployment in autonomous missions, such as following ground …
TERRA: A path planning algorithm for cooperative UGV–UAV exploration
In this paper, we consider the scenario of exploring a planetary surface with a system formed
by an Unmanned Aerial Vehicle (UAV) and an Unmanned Ground Vehicle (UGV). The goal …
by an Unmanned Aerial Vehicle (UAV) and an Unmanned Ground Vehicle (UGV). The goal …
Moving path following for unmanned aerial vehicles with applications to single and multiple target tracking problems
T Oliveira, AP Aguiar… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper introduces the moving path following (MPF) problem, in which a vehicle is
required to converge to and follow a desired geometric moving path, without a specific …
required to converge to and follow a desired geometric moving path, without a specific …