Deep reinforcement learning based mobile robot navigation: A review
K Zhu, T Zhang - Tsinghua Science and Technology, 2021 - ieeexplore.ieee.org
Navigation is a fundamental problem of mobile robots, for which Deep Reinforcement
Learning (DRL) has received significant attention because of its strong representation and …
Learning (DRL) has received significant attention because of its strong representation and …
Towards autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …
research interest in recent years and are gradually being utilized in various aspects of our …
Addressing disasters in smart cities through UAVs path planning and 5G communications: A systematic review
Z Qadir, F Ullah, HS Munawar, F Al-Turjman - Computer Communications, 2021 - Elsevier
UAVs are increasingly incorporated in a wide range of domains such as disaster
management and rescue missions. UAV path planning deals with finding the most optimal or …
management and rescue missions. UAV path planning deals with finding the most optimal or …
Towards real-time path planning through deep reinforcement learning for a UAV in dynamic environments
Path planning remains a challenge for Unmanned Aerial Vehicles (UAVs) in dynamic
environments with potential threats. In this paper, we have proposed a Deep Reinforcement …
environments with potential threats. In this paper, we have proposed a Deep Reinforcement …
Artificial intelligence for UAV-enabled wireless networks: A survey
MA Lahmeri, MA Kishk… - IEEE Open Journal of the …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are considered as one of the promising technologies for
the next-generation wireless communication networks. Their mobility and their ability to …
the next-generation wireless communication networks. Their mobility and their ability to …
Towards fully autonomous UAVs: A survey
T Elmokadem, AV Savkin - Sensors, 2021 - mdpi.com
Unmanned Aerial Vehicles have undergone rapid developments in recent decades. This
has made them very popular for various military and civilian applications allowing us to …
has made them very popular for various military and civilian applications allowing us to …
Deep learning-based monocular obstacle avoidance for unmanned aerial vehicle navigation in tree plantations: Faster region-based convolutional neural network …
Abstract In recent years, Unmanned Aerial Vehicles (UAVs) are widely utilized in precision
agriculture, such as tree plantations. Due to limited intelligence, these UAVs can only …
agriculture, such as tree plantations. Due to limited intelligence, these UAVs can only …
USOD10K: a new benchmark dataset for underwater salient object detection
L Hong, X Wang, G Zhang… - IEEE transactions on image …, 2023 - ieeexplore.ieee.org
Underwater salient object detection (USOD) attracts increasing interest for its promising
performance in various underwater visual tasks. However, USOD research is still in its early …
performance in various underwater visual tasks. However, USOD research is still in its early …
Fixed-Wing UAVs flocking in continuous spaces: A deep reinforcement learning approach
Abstract Fixed-Wing UAVs (Unmanned Aerial Vehicles) flocking is still a challenging
problem due to the kinematics complexity and environmental dynamics. In this paper, we …
problem due to the kinematics complexity and environmental dynamics. In this paper, we …
Adaptive and extendable control of unmanned surface vehicle formations using distributed deep reinforcement learning
Future ocean exploration will be dominated by a large-scale deployment of marine robots
such as unmanned surface vehicles (USVs). Without the involvement of human operators …
such as unmanned surface vehicles (USVs). Without the involvement of human operators …