A central question in robotics is how to design a control system for an agile mobile robot.
This paper studies this question systematically, focusing on a challenging setting …

Quadrotors are among the most agile flying robots. However, planning time-optimal
trajectories at the actuation limit through multiple waypoints remains an open problem. This …

In this article, we tackle the problem of flying time-optimal trajectories through multiple
waypoints with quadrotors. State-of-the-art solutions split the problem into a planning task …

Over the last decade, the use of autonomous drone systems for surveying, search and
rescue, or last-mile delivery has increased exponentially. With the rise of these applications …

A method is presented for the rapid generation and feasibility verification of motion primitives
for quadrocopters and similar multirotor vehicles. The motion primitives are defined by the …

This review surveys the current state of the art in the development of unmanned aerial
vehicles, focusing on algorithms for quadrotors. Tremendous progress has been made …

Recent research has shown the benefits of deep learning, a set of machine learning
techniques able to learn deep architectures, for modelling robotic perception and action. In …

This paper presents a novel system for autonomous, vision-based drone racing combining
learned data abstraction, nonlinear filtering, and time-optimal trajectory planning. The …

In this letter, we tackle the problem of flying a quadrotor using time-optimal control policies
that can be replanned online when the environment changes or when encountering …

The goal of this article is to provide an introduction to basic modeling and simulation
techniques for multiple interacting unmanned aerial vehicles (UAVs), called swarms, for …