Over the past decade, unmanned aerial vehicles (UAVs) have received a significant
attention due to their diverse capabilities for non-combatant and military applications. The …

Unmanned aerial vehicle (UAV) networks are playing an important role in various areas due
to their agility and versatility, which have attracted significant attentions from both the …

In this letter, we present a method to control a quadrotor with a neural network trained using
reinforcement learning techniques. With reinforcement learning, a common network can be …

Autopilot systems are typically composed of an “inner loop” providing stability and control,
whereas an “outer loop” is responsible for mission-level objectives, such as way-point …

This work develops a deep reinforcement learning based approach for Six Degree-of-
Freedom (DOF) planetary powered descent and landing. Future Mars missions will require …

There are two indispensable methodologies for autonomous flights performed by unmanned
aerial vehicles (UAV). The first is flight control, and the other is simultaneous localization and …

Parametric uncertainties and coupled nonlinear dynamics are inherent in quadrotor
configuration and infer adaptive nonlinear approaches to be used for flight control system …

In the past decade Unmanned Aerial Vehicles (UAVs) have become a topic of interest in
many research organizations. UAVs are finding applications in various areas ranging from …

Quadrotor helicopters are emerging as a popular platform for unmanned aerial vehicle
(UAV) research, due to the simplicity of their construction and maintenance, their ability to …

This thesis is about modelling, design and control of Miniature Flying Robots (MFR) with a
focus on Vertical Take-Off and Landing (VTOL) systems and specifically, micro quadrotors. It …