Science, technology and the future of small autonomous drones

D Floreano, RJ Wood - nature, 2015 - nature.com
We are witnessing the advent of a new era of robots—drones—that can autonomously fly in
natural and man-made environments. These robots, often associated with defence …

Learning high-speed flight in the wild

A Loquercio, E Kaufmann, R Ranftl, M Müller… - Science Robotics, 2021 - science.org
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 …

A comprehensive review on autonomous navigation

S Nahavandi, R Alizadehsani, D Nahavandi… - ar** and planning
H Oleynikova, A Millane, Z Taylor… - RSS 2016 …, 2016 - research-collection.ethz.ch
How to represent a map of the environment is a key question of robotics. In this paper, we
focus on suggesting a representation well-suited for online map building from vision-based …

Real-time visual-inertial map**, re-localization and planning onboard mavs in unknown environments

M Burri, H Oleynikova, MW Achtelik… - 2015 IEEE/RSJ …, 2015 - ieeexplore.ieee.org
In this work, we present an MAV system that is able to relocalize itself, create consistent
maps and plan paths in full 3D in previously unknown environments. This is solely based on …

Learning perception-aware agile flight in cluttered environments

Y Song, K Shi, R Penicka… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Recently, neural control policies have outperformed existing model-based planning-and-
control methods for autonomously navigating quadrotors through cluttered environments in …

Image-based visual servoing of a quadrotor using virtual camera approach

D Zheng, H Wang, J Wang, S Chen… - IEEE/ASME …, 2016 - ieeexplore.ieee.org
In this paper, an image-based visual servoing control law is proposed for a quadrotor
unmanned aerial vehicle using an on-board monocular camera and an inertial …