Abstract Internet of Things (IoT) generates unlimited data, which should be collected and
forwarded towards a central controller (CC) for further processing and decision-making …

Recently, there has been growing interest in developing unmanned aircraft systems (UAS)
with advanced onboard autonomous capabilities. This paper describes the current state of …

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 …

Aerial robots are widely deployed, but highly cluttered environments such as dense forests
remain inaccessible to drones and even more so to swarms of drones. In these scenarios …

Quadrotors are agile. Unlike most other machines, they can traverse extremely complex
environments at high speeds. To date, only expert human pilots have been able to fully …

Executing safe and precise flight maneuvers in dynamic high-speed winds is important for
the ongoing commoditization of uninhabited aerial vehicles (UAVs). However, because the …

Neural Radiance Fields (NeRFs) have recently emerged as a powerful paradigm for the
representation of natural, complex 3D scenes. Neural Radiance Fields (NeRFs) represent …

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

Climate change has introduced significant challenges that can affect multiple sectors,
including the agricultural one. In particular, according to the Food and Agriculture …

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 …