Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey

H Kurunathan, H Huang, K Li, W Ni… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …

Autonomous unmanned aerial vehicle navigation using reinforcement learning: A systematic review

F AlMahamid, K Grolinger - Engineering Applications of Artificial …, 2022 - Elsevier
There is an increasing demand for using Unmanned Aerial Vehicle (UAV), known as drones,
in different applications such as packages delivery, traffic monitoring, search and rescue …

A state-decomposition DDPG algorithm for UAV autonomous navigation in 3D complex environments

L Zhang, J Peng, W Yi, H Lin, L Lei… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Over the past decade, unmanned aerial vehicles (UAVs) have been widely applied in many
areas, such as goods delivery, disaster monitoring, search and rescue etc. In most of these …

Neuro-Planner: A 3D visual navigation method for MAV with depth camera based on neuromorphic reinforcement learning

J Jiang, D Kong, K Hou, X Huang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Traditional visual navigation methods of micro aerial vehicle (MAV) usually calculate a
passable path that satisfies the constraints depending on a prior map. However, these …

DRL path planning for UAV-aided V2X networks: comparing discrete to continuous action spaces

L Spampinato, A Tarozzi, C Buratti… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
It is expected that future 6G vehicular networks will rely on Unmanned Aerial Vehicles
(UAVs) acting as flying Base Stations, namely Unmanned Aerial Base Stations (UABSs), in …

Improved twin delayed deep deterministic policy gradient algorithm based real-time trajectory planning for parafoil under complicated constraints

J Yu, H Sun, J Sun - Applied Sciences, 2022 - mdpi.com
A parafoil delivery system has usually been used in the fields of military and civilian airdrop
supply and aircraft recovery in recent years. However, since the altitude of the unpowered …

Energy-Aware Hierarchical Reinforcement Learning Based on the Predictive Energy Consumption Algorithm for Search and Rescue Aerial Robots in Unknown …

M Ramezani, MA Amiri Atashgah - Drones, 2024 - mdpi.com
Aerial robots (drones) offer critical advantages in missions where human participation is
impeded due to hazardous conditions. Among these, search and rescue missions in disaster …

Autonomous Navigation of Wheeled Robot using a Deep Reinforcement Learning Based Approach

K Dadashtabar Ahmadi, AA Kiaei, MA Abbaszadeh - C4I Journal, 2022 - ic4i-journal.ir
In this research we develop a deep reinforcement learning-based method for autonomous
robot navigation. Our approach in this study is based on DDPG and one of its improved …