Autonomous, agile quadrotor flight raises fundamental challenges for robotics research in
terms of perception, planning, learning, and control. A versatile and standardized platform is …

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 …

Dynamically changing environments, unreliable state estimation, and operation under
severe resource constraints are fundamental challenges that limit the deployment of small …

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 …

Abstract The first Autonomous Drone Racing (ADR) was launched in the IEEE IROS 2016,
and continued to be organised in IROS 2017, 2018 and 2019. Inspired by this competition …

Humans race drones faster than neural networks trained for end-to-end autonomous flight.
This may be related to the ability of human pilots to select task-relevant visual information …

With the autonomy of aerial robots advances in recent years, autonomous drone racing has
drawn increasing attention. In a professional pilot competition, a skilled operator always …

We introduce an early-phase bottleneck analysis and characterization model called the F-1
for designing computing systems that target autonomous Unmanned Aerial Vehicles (UAVs) …

Autonomous Drone Racing (ADR) was first proposed in IROS 2016. It called for the
development of an autonomous drone capable of beating a human in a drone race. After …

Drone racing is becoming a popular e‐sport all over the world, and beating the best human
drone race pilots has quickly become a new major challenge for artificial intelligence and …