Background: Public access defibrillation programs can improve survival after out-of-hospital
cardiac arrest, but automated external defibrillators (AEDs) are rarely available for bystander …

Selecting the right tuning parameters for algorithms is a pravelent problem in machine
learning that can significantly affect the performance of algorithms. Data-efficient …

Problem definition: Our objective is to design a defibrillator-enabled drone network that
augments the existing emergency medical services (EMS) system to rapidly respond to out …

This paper explores the use of drones for entertainment with the emerging technology of
AVR (Augmented and Virtual Reality) over the past 10 years from 2006 to 2016. Drones …

This chapter reviews an approach for generating rhythmic flight motions that are executed by
quadrocopters and timed to music. It represents a research and artistic experiment, which …

Frequently hailed for their dynamical capabilities, quadrotor vehicles are often employed as
experimental platforms. However, questions surrounding achievable performance, influence …

This paper proposes a novel model-free trajectory tracking of multiple-input multiple-output
(MIMO) systems by the combination of iterative learning control (ILC) and primitives. The …

This paper proposes a novel strategy for completing a flight plan with a quadrotor UAV, in
the context of aerial video making. The flight plan includes different types of waypoints to …

The goal of this work is to enable a team of quadrotors to learn how to accurately track a
desired trajectory while holding a given formation. We solve this problem in a distributed …

A general control system tracking learning framework is proposed, by which an optimal
learned tracking behavior called 'primitive'is extrapolated to new unseen trajectories without …