Comprehensive investigation of unmanned aerial vehicles (UAVs): An in-depth analysis of avionics systems

K Osmani, D Schulz - Sensors, 2024 - mdpi.com
The evolving technologies regarding Unmanned Aerial Vehicles (UAVs) have led to their
extended applicability in diverse domains, including surveillance, commerce, military, and …

A survey on deep reinforcement learning architectures, applications and emerging trends

S Balhara, N Gupta, A Alkhayyat, I Bharti… - IET …, 2022 - Wiley Online Library
From a future perspective and with the current advancements in technology, deep
reinforcement learning (DRL) is set to play an important role in several areas like …

Connectivity-aware 3D UAV path design with deep reinforcement learning

H **e, D Yang, L **ao, J Lyu - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
In this paper, we study the three-dimensional (3D) path planning problem for cellular-
connected unmanned aerial vehicle (UAV) taking into account the impact of 3D antenna …

[HTML][HTML] Improved artificial potential field algorithm assisted by multisource data for AUV path planning

T **ng, X Wang, K Ding, K Ni, Q Zhou - Sensors, 2023 - mdpi.com
With the development of ocean exploration technology, the exploration of the ocean has
become a hot research field involving the use of autonomous underwater vehicles (AUVs) …

Smart search system of autonomous flight UAVs for disaster rescue

D Oh, J Han - Sensors, 2021 - mdpi.com
UAVs (Unmanned Aerial Vehicles) have been developed and adopted for various fields
including military, IT, agriculture, construction, and so on. In particular, UAVs are being …

A smart robotic walker with intelligent close-proximity interaction capabilities for elderly mobility safety

X Zhao, Z Zhu, M Liu, C Zhao, Y Zhao, J Pan… - Frontiers in …, 2020 - frontiersin.org
The elderly population has rapidly increased in past years, bringing huge demands for
elderly serving devices, especially for those with mobility impairment. Present assistant …

A UAV Pursuit‐Evasion Strategy Based on DDPG and Imitation Learning

X Fu, J Zhu, Z Wei, H Wang, S Li - International Journal of …, 2022 - Wiley Online Library
The UAV pursuit‐evasion strategy based on Deep Deterministic Policy Gradient (DDPG)
algorithm is a current research hotspot. However, this algorithm has the defect of low …

[HTML][HTML] Imaginary filtered hindsight experience replay for UAV tracking dynamic targets in large-scale unknown environments

HU Zijian, GAO **aoguang, WAN Kaifang… - Chinese Journal of …, 2023 - Elsevier
As an advanced combat weapon, Unmanned Aerial Vehicles (UAVs) have been widely
used in military wars. In this paper, we formulated the Autonomous Navigation Control …

[HTML][HTML] Reinforcement learning algorithms for autonomous mission accomplishment by unmanned aerial vehicles: A comparative view with DQN, SARSA and A2C

GA Jiménez, A de la Escalera Hueso, MJ Gómez-Silva - Sensors, 2023 - mdpi.com
Unmanned aerial vehicles (UAV) can be controlled in diverse ways. One of the most
common is through artificial intelligence (AI), which comprises different methods, such as …

Asynchronous curriculum experience replay: A deep reinforcement learning approach for UAV autonomous motion control in unknown dynamic environments

Z Hu, X Gao, K Wan, Q Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been widely used in military warfare, and realizing
safely autonomous motion control (AMC) in complex unknown environments is a challenge …