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Comprehensive investigation of unmanned aerial vehicles (UAVs): An in-depth analysis of avionics systems
The evolving technologies regarding Unmanned Aerial Vehicles (UAVs) have led to their
extended applicability in diverse domains, including surveillance, commerce, military, and …
extended applicability in diverse domains, including surveillance, commerce, military, and …
A survey on deep reinforcement learning architectures, applications and emerging trends
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 …
reinforcement learning (DRL) is set to play an important role in several areas like …
Connectivity-aware 3D UAV path design with deep reinforcement learning
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 …
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) …
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 …
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
The elderly population has rapidly increased in past years, bringing huge demands for
elderly serving devices, especially for those with mobility impairment. Present assistant …
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 …
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 …
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
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 …
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 …
safely autonomous motion control (AMC) in complex unknown environments is a challenge …