[HTML][HTML] Q-Learning based system for Path Planning with Unmanned Aerial Vehicles swarms in obstacle environments
Path Planning methods for the autonomous control of Unmanned Aerial Vehicle (UAV)
swarms are on the rise due to the numerous advantages they bring. There are increasingly …
swarms are on the rise due to the numerous advantages they bring. There are increasingly …
Q-learning Based System for Path Planning with UAV Swarms in Obstacle Environments
Path Planning methods for autonomous control of Unmanned Aerial Vehicle (UAV) swarms
are on the rise because of all the advantages they bring. There are more and more …
are on the rise because of all the advantages they bring. There are more and more …
[HTML][HTML] Q-learning-based unmanned aerial vehicle path planning with dynamic obstacle avoidance
Recently, unmanned aerial vehicles (UAVs) have shown promising results for autonomous
sensing. UAVs have been deployed for multiple applications that include surveillance …
sensing. UAVs have been deployed for multiple applications that include surveillance …
Q-learning based path planning method for uavs using priority shifting
KB de Carvalho, IRL de Oliveira… - 2022 International …, 2022 - ieeexplore.ieee.org
Path planning is a crucial part of autonomous navigation when regarding autonomous aerial
vehicles, often demanding different priorities such as the length, safety or energy …
vehicles, often demanding different priorities such as the length, safety or energy …
[HTML][HTML] UAV swarm path planning with reinforcement learning for field prospecting
There has been steady growth in the adoption of Unmanned Aerial Vehicle (UAV) swarms
by operators due to their time and cost benefits. However, this kind of system faces an …
by operators due to their time and cost benefits. However, this kind of system faces an …
Q learning algorithm based UAV path learning and obstacle avoidence approach
As Unmanned Aerial Vehicle (UAV) having been applied in more complex and adverse
environments, the requirements of automatic techniques for obstacle avoidance are …
environments, the requirements of automatic techniques for obstacle avoidance are …
[HTML][HTML] UAV path planning and obstacle avoidance based on reinforcement learning in 3d environments
GT Tu, JG Juang - Actuators, 2023 - mdpi.com
This study proposes using unmanned aerial vehicles (UAVs) to carry out tasks involving
path planning and obstacle avoidance, and to explore how to improve work efficiency and …
path planning and obstacle avoidance, and to explore how to improve work efficiency and …
Improved Q-learning based route planning method for UAVs in unknown environment
R Li, L Fu, L Wang, X Hu - 2019 IEEE 15th international …, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have demonstrated their application value in many fields.
With the rapidly interest in UAV technology, the body of research on autonomous route …
With the rapidly interest in UAV technology, the body of research on autonomous route …
A 3d q-learning algorithm for offline uav path planning with priority shifting rewards
KB de Carvalho, HB Batista… - 2022 Latin American …, 2022 - ieeexplore.ieee.org
Autonomous navigational robotics is a field of great importance due to its vast array of
applications such as exploration, transportation, industry or defense. When it comes to …
applications such as exploration, transportation, industry or defense. When it comes to …
[HTML][HTML] Evaluation of reinforcement and deep learning algorithms in controlling unmanned aerial vehicles
Unmanned Aerial Vehicles (UAVs) are abundantly becoming a part of society, which is a
trend that is expected to grow even further. The quadrotor is one of the drone technologies …
trend that is expected to grow even further. The quadrotor is one of the drone technologies …