Motion control theory applied to multi-rotor aerial vehicles (MAVs) has gained attention with
the recent increase in the processing power of computers, which are now able to perform the …

The spread of Unmanned Aerial Vehicles (UAVs) in the last decade revolutionized many
applications fields. Most investigated research topics focus on increasing autonomy during …

We propose a novel approach for optimal trajectory tracking for unmanned aerial vehicles
(UAV), using a linear model predictive controller (MPC) in combination with non-linear state …

Landing platforms' automation is aimed at servicing vertical take-off and landing UAVs
between flights and maintaining their airworthiness. Over the last few years, different …

The autonomous landing of an Unmanned Aerial Vehicle (UAV) on a marker is one of the
most challenging problems in robotics. Many solutions have been proposed, with the best …

This letter presents a self-contained system for robust deployment of autonomous aerial
vehicles in environments without access to global navigation systems and with limited …

This paper presents vision-based landing guidance of multi-copter Unmanned Aerial
Vehicle (UAV) using reinforcement learning. In this approach, the guidance method is not …

Autonomous landing is a fundamental aspect of drone operations which is being focused
upon by the industry, with ever-increasing demands on safety. As the drones are likely to …

Autonomous landing is a challenging phase of flight for an aerial vehicle, especially when
attempting to land on a moving target. This paper presents vision-based tracking and …

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 …