Toward data-driven optimal control: A systematic review of the landscape
This literature review extends and contributes to research on the development of data-driven
optimal control. Previous reviews have documented the development of model-based and …
optimal control. Previous reviews have documented the development of model-based and …
Drone landing and reinforcement learning: State-of-art, challenges and opportunities
J Amendola, LR Cenkeramaddi… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles, and special multirotor drones, have shown great relevance in a
plethora of missions that require high affordance, field of view, and precision. Their limited …
plethora of missions that require high affordance, field of view, and precision. Their limited …
Twin delayed deep deterministic policy gradient-based target tracking for unmanned aerial vehicle with achievement rewarding and multistage training
Target tracking using an unmanned aerial vehicle (UAV) is a challenging robotic problem. It
requires handling a high level of nonlinearity and dynamics. Model-free control effectively …
requires handling a high level of nonlinearity and dynamics. Model-free control effectively …
An adaptive multi-level quantization-based reinforcement learning model for enhancing UAV landing on moving targets
The autonomous landing of an unmanned aerial vehicle (UAV) on a moving platform is an
essential functionality in various UAV-based applications. It can be added to a teleoperation …
essential functionality in various UAV-based applications. It can be added to a teleoperation …
Inclined quadrotor landing using deep reinforcement learning
Landing a quadrotor on an inclined surface is a challenging maneuver. The final state of any
inclined landing trajectory is not an equilibrium, which precludes the use of most …
inclined landing trajectory is not an equilibrium, which precludes the use of most …
A deep reinforcement learning-based method for predictive management of demand response in natural gas pipeline networks
With the increase of natural gas in the world's energy consumption, the efficient and reliable
management of natural gas pipeline networks is becoming even more important than before …
management of natural gas pipeline networks is becoming even more important than before …
Lander. AI: DRL-based Autonomous Drone Landing on Moving 3D Surface in the Presence of Aerodynamic Disturbances
R Peter, L Ratnabala, D Aschu… - 2024 International …, 2024 - ieeexplore.ieee.org
Autonomous drone landing on dynamic platforms presents formidable challenges due to
unpredictable velocities and aerodynamic disturbances. This study introduces an advanced …
unpredictable velocities and aerodynamic disturbances. This study introduces an advanced …
Safe UAV landing: A low-complexity pipeline for surface conditions recognition
As an unmanned aerial vehicle (UAV) navigates autonomously, there are unanticipated
occasions, eg, loss of data provided by the global navigation satellite system, where its …
occasions, eg, loss of data provided by the global navigation satellite system, where its …
The MPU RX-4 project: Design, electronics, and software development of a geofence protection system for a fixed-wing vtol uav
Unmanned aerial vehicles (UAVs) are at the forefront of this century's technological shift,
becoming ubiquitous in research and market areas. However, as a UAV navigates …
becoming ubiquitous in research and market areas. However, as a UAV navigates …
Intelligent Position Controller for Unmanned Aerial Vehicles (UAV) Based on Supervised Deep Learning
In recent years, multi-rotor UAVs have become valuable tools in several productive fields,
from entertainment to agriculture and security. However, during their flight trajectory, they …
from entertainment to agriculture and security. However, during their flight trajectory, they …