Path planning for multiple targets interception by the swarm of UAVs based on swarm intelligence algorithms: A review

A Sharma, S Shoval, A Sharma… - IETE Technical …, 2022 - Taylor & Francis
The dramatic increase in the capabilities and availability of autonomous ground and aerial
tools introduces safety and security challenges, particularly in protecting strategic …

UAV mission planning resistant to weather uncertainty

A Thibbotuwawa, G Bocewicz, G Radzki, P Nielsen… - Sensors, 2020 - mdpi.com
Fleet mission planning for Unmanned Aerial Vehicles (UAVs) is the process of creating flight
plans for a specific set of objectives and typically over a time period. Due to the increasing …

Coordinated path planning for fixed-wing UAS conducting persistent surveillance missions

J Keller, D Thakur, M Likhachev… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Algorithms for fixed-wing unmanned aerial systems (UAS) must integrate on-board sensor
capabilities and vehicle maneuver constraints to reliably satisfy the objectives of persistent …

A bioinspired neural network-based approach for cooperative coverage planning of UAVs

S Godio, S Primatesta, G Guglieri, F Dovis - information, 2021 - mdpi.com
This paper describes a bioinspired neural-network-based approach to solve a coverage
planning problem for a fleet of unmanned aerial vehicles exploring critical areas. The main …

[PDF][PDF] A review of the application of optimization algorithms nature inspired in the design of flight paths

I Shafieenejad, MRB Dehkordi, M Amin - Technology in Aerospace …, 2024 - jtae.ari.ac.ir
In this article, an overview of the application of optimization algorithms inspired by nature in
the design of the flight path has been discussed. The significant increase in the capabilities …

MPC strategies for cooperative guidance of autonomous vehicles

S Bertrand, J Marzat, H Piet-Lahanier, A Kahn… - Aerospace Lab, 2014 - hal.science
This paper presents a comprehensive framework for the cooperative guidance of a fleet of
autonomous vehicles, relying on Model Predictive Control (MPC). Solutions are provided for …

Deployment of battery swapping stations for unmanned aerial vehicles subject to cyclic production flow constraints

G Bocewicz, P Nielsen, Z Banaszak… - … Conference, ICIST 2018 …, 2018 - Springer
Given is a production system in which material handling operations are carried out by a fleet
of UAVs. A problem has been formulated for this case of cyclic multi-product batch …

A declarative modelling framework for routing of multiple UAVs in a system with mobile battery swapping stations

G Bocewicz, P Nielsen, Z Banaszak… - Intelligent Systems in …, 2019 - Springer
A flow production system with concurrently executed supply chains providing material
handling/transportation services to a given set of workstations is considered. The …

Autonomous unmanned heterogeneous vehicles for persistent monitoring

V Lappas, HS Shin, A Tsourdos, D Lindgren… - Drones, 2022 - mdpi.com
Swarms of unmanned vehicles (air and ground) can increase the efficiency and
effectiveness of military and law enforcement operations by enhancing situational …

MCTA: Multi-UAV Collaborative Target Allocation to Monitor Targets with Dynamic Importance

H Yan, W Zhao, C Chen, Y You, X Gao… - … Conference on Big …, 2020 - ieeexplore.ieee.org
With the development of mechanical manufacturing, wireless communication, and other
related technologies, unmanned aerial vehicle (UAV) has become a typical paradigm of …