This paper presents a literature survey on aerial manipulation. First of all, an extensive study
of aerial vehicles and manipulation/interaction mechanisms in aerial manipulation is …

With ever increasing global demand and depleting resources for fossil fuels, oil and gas
industry is now positively looking for advanced robotic solutions to increase their productivity …

This paper addresses the stability and tracking control problem of a quadrotor unmanned
flying robot vehicle in the presence of modeling error and disturbance uncertainty. The input …

A rich body of work has focused on motion tracking techniques using inertial sensors,
namely accelerometers, gyroscopes, and magnetometers. Applications of these techniques …

Abstract Lithium-ion (Li-ion) battery state of charge (SOC) estimation is important for electric
vehicles (EVs). The model-based state estimation method using the Kalman filter (KF) …

This paper studies the diagnosis and compensation for sensor and actuator faults in a
quadrotor unmanned aerial vehicle. Without adding sensors or actuators for increased …

The Kalman filter has been found to be useful in vast areas. However, it is well known that
the successful use of the standard Kalman filter is greatly restricted by the strict requirements …

In this paper, we propose a novel method for pedestrian dead reckoning (PDR) using
microelectromechanical system magnetic, angular rate, and gravity sensors, which includes …

The authors demonstrate the practical application of the adaptive high-gain extended
Kalman filter (EKF)(AEKF) onboard a quadcopter unmanned aerial vehicle (UAV). The AEKF …

Manipulating unmanned aerial vehicles (MUAVs) are aerial robots equipped with a
mechanism to physically interact with the environment. State estimation of such robots is a …