Communication and control in collaborative UAVs: Recent advances and future trends

S Javaid, N Saeed, Z Qadir, H Fahim… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The recent progress in unmanned aerial vehicles (UAV) technology has significantly
advanced UAV-based applications for military, civil, and commercial domains. Nevertheless …

A multistate network approach for resilience analysis of uav swarm considering information exchange capacity

T Liu, G Bai, J Tao, YA Zhang, Y Fang - Reliability Engineering & System …, 2024 - Elsevier
Unmanned aerial vehicle (UAV) swarms can perform tasks in a self-organized and self-
adaptive manner, and are thus appropriate for resilience research. An efficient and resilient …

Collaborative decision-making method for multi-UAV based on multiagent reinforcement learning

S Li, Y Jia, F Yang, Q Qin, H Gao, Y Zhou - IEEE Access, 2022 - ieeexplore.ieee.org
The collaborative mission capability of multi-UAV has received more and more attention in
recent years as the research on multi-UAV theories and applications has intensified. The …

Federated reinforcement learning approach for detecting uncertain deceptive target using autonomous dual UAV system

HB Salameh, M Alhafnawi, A Masadeh… - Information Processing & …, 2023 - Elsevier
This paper develops a cooperative federated reinforcement learning (RL) strategy that
enables two unmanned aerial vehicles (UAVs) to cooperate in learning and predicting the …

On the optimal placement of cameras for surveillance and the underlying set cover problem

J Kritter, M Brévilliers, J Lepagnot, L Idoumghar - Applied Soft Computing, 2019 - Elsevier
Given a delimited surveillance area, represented in either 2D or 3D, and a set of feasible
camera locations and orientations, the optimal camera placement problem (OCP) is that of …

Systemic design of distributed multi-UAV cooperative decision-making for multi-target tracking

Y Zhao, X Wang, C Wang, Y Cong, L Shen - Autonomous Agents and Multi …, 2019 - Springer
In this paper, we consider the cooperative decision-making problem for multi-target tracking
in multi-unmanned aerial vehicle (UAV) systems. The multi-UAV decision-making problem is …

Unmanned aerial traffic management system architecture for U-space in-flight services

C Capitán, H Pérez-León, J Capitán, Á Castaño… - Applied Sciences, 2021 - mdpi.com
Featured Application This work can be applied to integrate autonomous unmanned aerial
vehicles in civil airspace. Abstract This paper presents a software architecture for Unmanned …

Resilience evaluation for UAV swarm performing joint reconnaissance mission

C Cheng, G Bai, YA Zhang, J Tao - Chaos: An Interdisciplinary Journal …, 2019 - pubs.aip.org
The resilience of unmanned aerial vehicle (UAV) swarm is its joint capability to resist
possible threat, adapt to disruptive events, and restore its intended performance under a …

A dual adaptive fault-tolerant control for a quadrotor helicopter against actuator faults and model uncertainties without overestimation

B Wang, X Yu, L Mu, Y Zhang - Aerospace Science and Technology, 2020 - Elsevier
This paper presents a dual adaptive fault-tolerant control strategy for a quadrotor helicopter
based on adaptive sliding mode control and adaptive boundary layer. Within the proposed …

Searching and tracking people with cooperative mobile robots

A Goldhoorn, A Garrell, R Alquézar, A Sanfeliu - Autonomous robots, 2018 - Springer
Social robots should be able to search and track people in order to help them. In this paper
we present two different techniques for coordinated multi-robot teams for searching and …