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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 …
Review of aerial transportation of suspended-cable payloads with quadrotors
Payload transportation and manipulation by rotorcraft drones are receiving a lot of attention
from the military, industrial and logistics research areas. The interactions between the UAV …
from the military, industrial and logistics research areas. The interactions between the UAV …
Neural-fly enables rapid learning for agile flight in strong winds
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 …
the ongoing commoditization of uninhabited aerial vehicles (UAVs). However, because the …
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 …
Bayesian multi-task learning mpc for robotic mobile manipulation
Mobile manipulation in robotics is challenging due to the need to solve many diverse tasks,
such as opening a door or picking-and-placing an object. Typically, a basic first-principles …
such as opening a door or picking-and-placing an object. Typically, a basic first-principles …
Difftune: Auto-tuning through auto-differentiation
The performance of robots in high-level tasks depends on the quality of their lower level
controller, which requires fine-tuning. However, the intrinsically nonlinear dynamics and …
controller, which requires fine-tuning. However, the intrinsically nonlinear dynamics and …
A control architecture to coordinate energy management with trajectory tracking control for fuel cell/battery hybrid unmanned aerial vehicles
H Liu, Y Yao, J Wang, Y Qin, T Li - International Journal of Hydrogen …, 2022 - Elsevier
Fuel cell/battery hybrid energy storage system (HESS) powered unmanned aerial vehicle
(UAV) has the outstanding advantage of long endurance time. Trajectory tracking motion is a …
(UAV) has the outstanding advantage of long endurance time. Trajectory tracking motion is a …
Historical and current landscapes of autonomous quadrotor control: An early-career researchers' guide
A Asignacion Jr, S Satoshi - Drones, 2024 - mdpi.com
The rising demand for autonomous quadrotor flights across diverse applications has led to
the introduction of novel control strategies, resulting in several comparative analyses and …
the introduction of novel control strategies, resulting in several comparative analyses and …
Quadrotor neural network adaptive control: design and experimental validation
This letter presents the design and experimental study of an adaptive nonlinear controller for
Unmanned Aerial Vehicles (UAVs) in the presence of unknown time-varying disturbances …
Unmanned Aerial Vehicles (UAVs) in the presence of unknown time-varying disturbances …
Adaptive neural network-based model path-following contouring control for quadrotor under diversely uncertain disturbances
M Wei, L Zheng, H Li, H Cheng - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Quadrotors, while versatile, are vulnerable to unpredictable environmental disturbances,
including turbulence, gusts, and ground effects, making precise path-following control a …
including turbulence, gusts, and ground effects, making precise path-following control a …