Unmanned aerial vehicles for search and rescue: A survey
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) …
flexibility, mobility, and accessibility in various fields, including search and rescue (SAR) …
Learning quadrotor dynamics for precise, safe, and agile flight control
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 …
such as quadrotor systems and presents several future research directions in this area. The …
Neural lander: Stable drone landing control using learned dynamics
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 …
aerodynamic effects caused by interactions between multi-rotor airflow and the environment …
Autonomous drone racing: A survey
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 …
rescue, or last-mile delivery has increased exponentially. With the rise of these applications …
Neural network vehicle models for high-performance automated driving
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 …
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
Designing effective low-level robot controllers often entail platform-specific implementations
that require manual heuristic parameter tuning, significant system knowledge, or long design …
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 …
high-performance autonomous systems. However, to achieve good control performance …
Neurobem: Hybrid aerodynamic quadrotor model
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 …
their limits. Aerodynamic effects, while insignificant at low speeds, become the dominant …
[HTML][HTML] Autonomous eVTOL: A summary of researches and challenges
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 …
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 …
collisions, respecting actuator and dynamic limits, and using complex nonlinear dynamics …