Drone deep reinforcement learning: A review
Unmanned Aerial Vehicles (UAVs) are increasingly being used in many challenging and
diversified applications. These applications belong to the civilian and the military fields. To …
diversified applications. These applications belong to the civilian and the military fields. To …
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 …
in different applications such as packages delivery, traffic monitoring, search and rescue …
Unsupervised human detection with an embedded vision system on a fully autonomous UAV for search and rescue operations
Unmanned aerial vehicles (UAVs) play a primary role in a plethora of technical and scientific
fields owing to their wide range of applications. In particular, the provision of emergency …
fields owing to their wide range of applications. In particular, the provision of emergency …
Artificial intelligence approaches for UAV navigation: Recent advances and future challenges
Unmanned aerial vehicles (UAVs) applications have increased in popularity in recent years
because of their ability to incorporate a wide variety of sensors while retaining cheap …
because of their ability to incorporate a wide variety of sensors while retaining cheap …
Reinforcement learning for mobile robotics exploration: A survey
LC Garaffa, M Basso, AA Konzen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Efficient exploration of unknown environments is a fundamental precondition for modern
autonomous mobile robot applications. Aiming to design robust and effective robotic …
autonomous mobile robot applications. Aiming to design robust and effective robotic …
A robust UAV system for operations in a constrained environment
In this letter we present an autonomous system intended for aerial monitoring, inspection
and assistance in Search and Rescue (SAR) operations within a constrained workspace …
and assistance in Search and Rescue (SAR) operations within a constrained workspace …
A survey of indoor and outdoor uav-based target tracking systems: Current status, challenges, technologies, and future directions
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 …
exploited to support a wide range of applications. The features include low maintenance …
[HTML][HTML] UAV navigation in high dynamic environments: A deep reinforcement learning approach
Abstract Unmanned Aerial Vehicle (UAV) navigation is aimed at guiding a UAV to the
desired destinations along a collision-free and efficient path without human interventions …
desired destinations along a collision-free and efficient path without human interventions …
Deep reinforcement learning using genetic algorithm for parameter optimization
Reinforcement learning (RL) enables agents to take decision based on a reward function.
However, in the process of learning, the choice of values for learning algorithm parameters …
However, in the process of learning, the choice of values for learning algorithm parameters …
Reinforcement learning framework for UAV-based target localization applications
Smart environmental monitoring has gained prominence, where target localization is of
utmost importance. Employing UAVs for localization tasks is appealing owing to their low …
utmost importance. Employing UAVs for localization tasks is appealing owing to their low …