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Model-Based Approach to Engineering Resilience in Multi-UAV Systems
Systems, 2019Azad Madni, Edwin Ordoukhanian
exaly
Multi-UAV roundup strategy method based on deep reinforcement learning CEL-MADDPG algorithm
Expert Systems With ApplicationsKaifang Wan, Qingfu Zhang
exaly
MULTI-UAV Task Allocation Based on Improved Genetic Algorithm
The path length of multiple unmanned aerial vehicle (multi-UAV) has a certain impact on the task allocation of multi-UAV. In order to improve the efficiency of multi-UAV and reduce the loss of multi-UAV during the process of performing tasks, this paper ...
Xueli Wu +5 more
doaj +3 more sources
Multi-UAV path planning algorithms are crucial for the successful design and operation of unmanned aerial vehicle (UAV) networks. While many network researchers have proposed UAV path planning algorithms to improve system performance, an in-depth review ...
Mamunur Rahman +2 more
doaj +3 more sources
With the development of Unmanned Aerial Vehicle (UAV) technology towards multi-UAV and UAV swarm, multi-UAV cooperative task allocation has more and more influence on the success or failure of UAV missions.
Xi Chen +5 more
doaj +2 more sources
Secure Multi-UAV Collaborative Task Allocation [PDF]
Unmanned aerial vehicle technology has made great progress in the past and is widely used in many fields. However, they are unable to meet large-scale and complex missions with a limited energy reserve.
Zhangjie Fu +4 more
doaj +2 more sources
Target Assignment and Multi-UAV Enclosing Method Based on Competition and Cooperation Mechanism [PDF]
Multi-UAV enclosing has become one of the important attack methods in modern air combat. Recently, the algorithms of multi-UAV enclosing have been extensively studied to improve the formation speed of multi-UAV enclosing and improve the robustness ...
Song Zehao, Liu Jichuan
doaj +1 more source
Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning
Unmanned aerial vehicle(UAV)with the advantages of high effectiveness and flexible autonomy has gradually replaced manned aircraft to combat,and multi-UAV cooperative combat mission planning becomes the hot research issue.An end-to-end cooperative attack
LI Junsheng +4 more
doaj +1 more source
A Survey of Single and Multi-UAV Aerial Manipulation [PDF]
Aerial manipulation has direct application prospects in environment, construction, forestry, agriculture, search, and rescue. It can be used to pick and place objects and hence can be used for transportation of goods. Aerial manipulation can be used to perform operations in environments inaccessible or unsafe for human workers.
Abdullah Mohiuddin +3 more
openaire +1 more source

