With the decrease in the cost and size of drones in recent years, their number has also
increased exponentially. As such, the concerns regarding security aspects that are raised by …

Drones | Free Full-Text | Flying Free: A Research Overview of Deep Learning in Drone
Navigation Autonomy Next Article in Journal Unmanned Autogyro for Mars Exploration: A …

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

This work presents a modular and hierarchical approach to learn policies for exploring 3D
environments, calledActive Neural SLAM'. Our approach leverages the strengths of both …

In many robotic tasks, such as autonomous drone racing, the goal is to travel through a set of
waypoints as fast as possible. A key challenge for this task is planning the timeoptimal …

Neural networks predictions are unreliable when the input sample is out of the training
distribution or corrupted by noise. Being able to detect such failures automatically 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 …

For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …

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 …