Unmanned aerial vehicles for search and rescue: A survey

M Lyu, Y Zhao, C Huang, H Huang - Remote Sensing, 2023 - mdpi.com
In recent years, unmanned aerial vehicles (UAVs) have gained popularity due to their
flexibility, mobility, and accessibility in various fields, including search and rescue (SAR) …

Learning quadrotor dynamics for precise, safe, and agile flight control

A Saviolo, G Loianno - Annual Reviews in Control, 2023 - Elsevier
This article reviews the state-of-the-art modeling and control techniques for aerial robots
such as quadrotor systems and presents several future research directions in this area. The …

Neural lander: Stable drone landing control using learned dynamics

G Shi, X Shi, M O'Connell, R Yu… - … on robotics and …, 2019 - ieeexplore.ieee.org
Precise near-ground trajectory control is difficult for multi-rotor drones, due to the complex
aerodynamic effects caused by interactions between multi-rotor airflow and the environment …

Autonomous drone racing: A survey

D Hanover, A Loquercio, L Bauersfeld… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
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 …

Neural network vehicle models for high-performance automated driving

NA Spielberg, M Brown, NR Kapania, JC Kegelman… - Science robotics, 2019 - science.org
Automated vehicles navigate through their environment by first planning and subsequently
following a safe trajectory. To prove safer than human beings, they must ultimately perform …

Low-level control of a quadrotor with deep model-based reinforcement learning

NO Lambert, DS Drew, J Yaconelli… - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
Designing effective low-level robot controllers often entail platform-specific implementations
that require manual heuristic parameter tuning, significant system knowledge, or long design …

Real-time neural MPC: Deep learning model predictive control for quadrotors and agile robotic platforms

T Salzmann, E Kaufmann… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Model Predictive Control (MPC) has become a popular framework in embedded control for
high-performance autonomous systems. However, to achieve good control performance …

Neurobem: Hybrid aerodynamic quadrotor model

L Bauersfeld, E Kaufmann, P Foehn, S Sun… - arXiv preprint arXiv …, 2021 - arxiv.org
Quadrotors are extremely agile, so much in fact, that classic first-principle-models come to
their limits. Aerodynamic effects, while insignificant at low speeds, become the dominant …

[HTML][HTML] Autonomous eVTOL: A summary of researches and challenges

S Xiang, A Xie, M Ye, X Yan, X Han, H Niu, Q Li… - Green Energy and …, 2024 - Elsevier
Due to the rising concept of advanced air mobility (AAM), electric vertical take-off and
landing (eVTOL) aircraft has become the hotspot for academic research and commercial …

Neural network model predictive motion control applied to automated driving with unknown friction

NA Spielberg, M Brown… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Many innovative applications of vehicle control involve trajectory following while avoiding
collisions, respecting actuator and dynamic limits, and using complex nonlinear dynamics …