The MRS UAV system: Pushing the frontiers of reproducible research, real-world deployment, and education with autonomous unmanned aerial vehicles
We present a multirotor Unmanned Aerial Vehicle (UAV) control and estimation system for
supporting replicable research through realistic simulations and real-world experiments. We …
supporting replicable research through realistic simulations and real-world experiments. We …
Safe navigation of a quadrotor UAV with uncertain dynamics and guaranteed collision avoidance using barrier Lyapunov function
In this paper, the safe autonomous motion control of a quadrotor Unmanned Aerial Vehicle
(UAV) is considered, in the presence of disturbance, stationary and moving obstacles. In this …
(UAV) is considered, in the presence of disturbance, stationary and moving obstacles. In this …
Fuzzy adaptive control law for trajectory tracking based on a fuzzy adaptive neural PID controller of a multi-rotor unmanned aerial vehicle
AMER Mendoza, W Yu - International Journal of Control, Automation and …, 2023 - Springer
This article presents a fuzzy adaptive control law (FACL) designed for tracking the trajectory
of a low-scale unmanned aerial vehicle (UAV), based on a new fuzzy adaptive neural …
of a low-scale unmanned aerial vehicle (UAV), based on a new fuzzy adaptive neural …
Optimal trajectory planning for manipulators with efficiency and smoothness constraint
Z Xu, W Wang, Y Chi, K Li, L He - Electronics, 2023 - mdpi.com
Path planning to generate an appropriate time sequence of positions for a complex
trajectory is an open challenge in robotics. This paper proposes an optimization method with …
trajectory is an open challenge in robotics. This paper proposes an optimization method with …
Real-time efficient trajectory planning for quadrotor based on hard constraints
Trajectory planning for quadrotor has been extensively studied in terms of safety,
smoothness, and dynamical feasibility. However, few methods have been proposed for the …
smoothness, and dynamical feasibility. However, few methods have been proposed for the …
Efficient Convolution-Based Representation of Smooth Reference Trajectories for Urban Air Mobility
F Schweighofer, C Krammer, H Hong… - Journal of Guidance …, 2024 - arc.aiaa.org
Accurate trajectory-following control using dynamic inversion controllers requires suitable
parameterizations of reference trajectories, such as energy-minimal flight paths generated …
parameterizations of reference trajectories, such as energy-minimal flight paths generated …
An Integrated Real-time UAV Trajectory Optimization and Potential Field Approach for Dynamic Collision Avoidance
This paper presents an integrated approach that combines trajectory optimization and
Artificial Potential Field (APF) method for real-time optimal Unmanned Aerial Vehicle (UAV) …
Artificial Potential Field (APF) method for real-time optimal Unmanned Aerial Vehicle (UAV) …
An Autonomous Tracking and Landing Method for Unmanned Aerial Vehicles Based on Visual Navigation
B Wang, R Ma, H Zhu, Y Sha, T Yang - Drones, 2023 - mdpi.com
In this paper, we examine potential methods for autonomously tracking and landing multi-
rotor unmanned aerial vehicles (UAVs), a complex yet essential problem. Autonomous …
rotor unmanned aerial vehicles (UAVs), a complex yet essential problem. Autonomous …
Adaptive super-twisting controller design for accurate trajectory tracking performance of unmanned aerial vehicles
In this article, an adaptive super-twisting controller is designed for an agile maneuvering
quadrotor unmanned aerial vehicle (UAV) to achieve accurate trajectory tracking in the …
quadrotor unmanned aerial vehicle (UAV) to achieve accurate trajectory tracking in the …
Nonlinear model predictive control of uavs for optimal path planning and obstacle avoidance
A Khastavan, FA Shirazi, A Vahedi… - 2022 10th RSI …, 2022 - ieeexplore.ieee.org
In this paper, Nonlinear Model Predictive Control (NMPC) of an Unmanned Aerial Vehicle
(UAV) is used to avoid static obstacles. To reach this objective, a quaternion-based model of …
(UAV) is used to avoid static obstacles. To reach this objective, a quaternion-based model of …