A survey of indoor and outdoor uav-based target tracking systems: Current status, challenges, technologies, and future directions

M Alhafnawi, HAB Salameh, A Masadeh… - IEEE …, 2023 - ieeexplore.ieee.org
Due to their distinctive features, unmanned aerial vehicles (UAVs) have been recently
exploited to support a wide range of applications. The features include low maintenance …

[HTML][HTML] Reinforcement learning for swarm robotics: An overview of applications, algorithms and simulators

MA Blais, MA Akhloufi - Cognitive Robotics, 2023 - Elsevier
Robots such as drones, ground rovers, underwater vehicles and industrial robots have
increased in popularity in recent years. Many sectors have benefited from this by increasing …

A review of indoor positioning systems for UAV localization with machine learning algorithms

C Sandamini, MWP Maduranga, V Tilwari, J Yahaya… - Electronics, 2023 - mdpi.com
The potential of indoor unmanned aerial vehicle (UAV) localization is paramount for
diversified applications within large industrial sites, such as hangars, malls, warehouses …

A survey on localization for autonomous vehicles

D Kumar, N Muhammad - IEEE Access, 2023 - ieeexplore.ieee.org
Research on autonomous vehicles has made significant advances in recent years. To
operate an autonomous vehicle safely and effectively, precise localization is essential. This …

Unmanned autonomous intelligent system in 6G non-terrestrial network

X Wang, Y Guo, Y Gao - Information, 2024 - mdpi.com
Non-terrestrial network (NTN) is a trending topic in the field of communication, as it shows
promise for scenarios in which terrestrial infrastructure is unavailable. Unmanned …

[HTML][HTML] Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture

G Goldenits, K Mallinger, S Raubitzek… - Smart Agricultural …, 2024 - Elsevier
Digital Twins have gained attention in various industries by creating virtual replicas of real-
world systems through data collection and machine learning. These replicas are used to run …

On learning generalized wireless MAC communication protocols via a feasible multi-agent reinforcement learning framework

L Miuccio, S Riolo, S Samarakoon… - … Machine Learning in …, 2024 - ieeexplore.ieee.org
Automatically learning medium access control (MAC) communication protocols via multi-
agent reinforcement learning (MARL) has received huge attention to cater to the extremely …

Reinforcement learning for joint detection and map** using dynamic UAV networks

A Guerra, F Guidi, D Dardari… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Dynamic radar networks (DRNs), usually composed of flying unmanned aerial vehicles
(UAVs), have recently attracted great interest for time-critical applications, such as search …

Networks of UAVs of low complexity for time-critical localization

A Guerra, F Guidi, D Dardari… - IEEE Aerospace and …, 2022 - ieeexplore.ieee.org
Future networks of unmanned aerial vehicles (UAVs) will be tasked to carry out ever-
increasing complex operations that are time-critical and that require accurate localization …

A novel method of UAV-assisted trajectory localization for forestry environments

J Huang, X Guo - Sensors, 2024 - mdpi.com
Global positioning systems often fall short in dense forest environments, leading to
increasing demand for innovative localization methods. Notably, existing methods suffer …