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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 …
Reaching the limit in autonomous racing: Optimal control versus reinforcement learning
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 …
This paper studies this question systematically, focusing on a challenging setting …
Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight
Autonomous, agile quadrotor flight raises fundamental challenges for robotics research in
terms of perception, planning, learning, and control. A versatile and standardized platform is …
terms of perception, planning, learning, and control. A versatile and standardized platform is …
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 …
Real-time neural mpc: Deep learning model predictive control for quadrotors and agile robotic platforms
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 …
Performance, precision, and payloads: Adaptive nonlinear mpc for quadrotors
Agile quadrotor flight in challenging environments has the potential to revolutionize
ship**, transportation, and search and rescue applications. Nonlinear model predictive …
ship**, transportation, and search and rescue applications. Nonlinear model predictive …
Actor-critic model predictive control
A Romero, Y Song… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
An open research question in robotics is how to combine the benefits of model-free
reinforcement learning (RL)—known for its strong task performance and flexibility in …
reinforcement learning (RL)—known for its strong task performance and flexibility in …
HCTO: Optimality-aware LiDAR inertial odometry with hybrid continuous time optimization for compact wearable map** system
Compact wearable map** system (WMS) has gained significant attention due to their
convenience in various applications. Specifically, it provides an efficient way to collect prior …
convenience in various applications. Specifically, it provides an efficient way to collect prior …
A benchmark comparison of learned control policies for agile quadrotor flight
Quadrotors are highly nonlinear dynamical systems that require carefully tuned controllers to
be pushed to their physical limits. Recently, learning-based control policies have been …
be pushed to their physical limits. Recently, learning-based control policies have been …