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This paper presents an agile Unmanned Aerial Vehicle (UAV) landing control by considering the effect of ship's oscillations and moving, and also disturbance (i.e., crosswind) is considered. The presented control system can make the…

系统与控制 · 电气工程与系统科学 2024-11-11 James Mordaunt , Xinhua Wang

The introduction of fully-actuated multirotors has opened the door to new possibilities and more efficient solutions to many real-world applications. However, their integration had been slower than expected, partly due to the need for new…

机器人学 · 计算机科学 2021-03-11 Azarakhsh Keipour , Mohammadreza Mousaei , Andrew T Ashley , Sebastian Scherer

We propose the use of basic inertial measurement units (IMU) which contain sensors such as accelerometers and gyroscopes already on-board drones to detect the speed and direction of wind gusts. The ability to quickly sense wind gusts has…

机器人学 · 计算机科学 2019-06-25 Suwen Gu , Menghao Lin

Autonomous landing on a moving platform presents unique challenges for multirotor vehicles, including the need to accurately localize the platform, fast trajectory planning, and precise/robust control. Previous works studied this problem…

系统与控制 · 电气工程与系统科学 2020-03-16 Aleix Paris , Brett T. Lopez , Jonathan P. How

This paper discusses the design and the performance achievable with active aerodynamic attitude control in very low Earth orbit, i.e. below 450 km in altitude. A novel real-time algorithm is proposed for selecting the angles of deflection…

Multi-rotors face significant risks, as actuator failures at high altitudes can easily result in a crash and the robot's destruction. Therefore, rapid fault recovery in the event of an actuator failure is necessary for the fault-tolerant…

机器人学 · 计算机科学 2025-03-25 Adarsh Salagame , Shashwat Pandya , Ioannis Mandralis , Eric Sihite , Alireza Ramezani , Morteza Gharib

While Unmanned Aerial Vehicles (UAVs) are increasingly deployed in several missions, their inability of reliable and consistent autonomous landing poses a major setback for deploying such systems truly autonomously. In this paper we present…

机器人学 · 计算机科学 2022-10-18 Michalis Piponidis , Panayiotis Aristodemou , Theocharis Theocharides

Quadruped robots are machines intended for challenging and harsh environments. Despite the progress in locomotion strategy, safely recovering from unexpected falls or planned drops is still an open problem. It is further made more difficult…

机器人学 · 计算机科学 2023-09-14 Francesco Roscia , Michele Focchi , Andrea Del Prete , Darwin G. Caldwell , Claudio Semini

In this paper, we consider a position estimation problem for an unmanned aerial vehicle (UAV) equipped with both proprioceptive sensors, i.e. IMU, and exteroceptive sensors, i.e. GPS and a barometer. We propose a data-driven position…

最优化与控制 · 数学 2025-04-11 Shenglun Yi , Xuebo Jin , Zhengjie Wang , Zhijun Liu , Mattia Zorzi

Groups of unmanned aerial vehicles (UAVs) are increasingly utilized in transportation task as the combined strength allows to increase the maximum payload. However, the resulting mechanical coupling of the UAVs impose new challenges in…

最优化与控制 · 数学 2021-11-02 Jacob R. Goodman , Juan S. Cely , Thomas Beckers , Leonardo J. Colombo

In this study, we applied reinforcement learning based on the proximal policy optimization algorithm to perform motion planning for an unmanned aerial vehicle (UAV) in an open space with static obstacles. The application of reinforcement…

机器人学 · 计算机科学 2020-12-17 Sanghyun Kim , Jongmin Park , Jae-Kwan Yun , Jiwon Seo

The significant components of any successful autonomous flight system are task completion and collision avoidance. Most deep learning algorithms successfully execute these aspects under the environment and conditions they are trained.…

This paper introduces a quadrotor's autonomous take-off and landing system on a moving platform. The designed system addresses three challenging problems: fast pose estimation, restricted external localization, and effective obstacle…

机器人学 · 计算机科学 2022-08-11 Pengyu Wang , Chaoqun Wang , Jiankun Wang , Max Q. -H. Meng

This work addresses the modelling and control aspects for quadcopter or drone unmanned aerial vehicles (UAVs). First, the mathematical model of the drone is derived by identifying significant parameters and the negligible ones are treated…

系统与控制 · 计算机科学 2018-03-22 Van Truong Hoang , Quang Hieu Pham

This paper describes dynamic system identification, and full control of a cost-effective vertical take-off and landing (VTOL) multi-rotor micro-aerial vehicle (MAV) --- DJI Matrice 100. The dynamics of the vehicle and autopilot controllers…

机器人学 · 计算机科学 2017-03-13 Inkyu Sa , Mina Kamel , Raghav Khanna , Marija Popovic , Juan Nieto , Roland Siegwart

This paper is focused on the dynamics and control of arbitrary number of quadrotor UAVs transporting a rigid body payload. The rigid body payload is connected to quadrotors via flexible cables where each flexible cable is modeled as a…

最优化与控制 · 数学 2015-01-21 Farhad A. Goodarzi , Taeyoung Lee

Stability and satisfactory performance are critical control requirements for Unmanned Aerial Vehicle (UAV) applications. While conventional control systems for UAVs aim to ensure flight stability and safe operation while accomplishing…

系统与控制 · 电气工程与系统科学 2024-03-15 Khalid Kabir Dandago , Long Zhang , Wei Pan

While autonomous multirotor micro aerial vehicles (MAVs) are uniquely well suited for certain types of missions benefiting from stationary flight capabilities, their more widespread usage still faces many hurdles, due in particular to their…

Using the context of trajectory estimation and tracking for multi-rotor unmanned aerial vehicles (UAVs), we explore the challenges in applying high-gain observers to highly dynamic systems. The multi-rotor will operate in the presence of…

系统与控制 · 电气工程与系统科学 2024-06-06 Connor J Boss , Vaibhav Srivastava

We propose a multibody model of a freewing UAV. This model allows obtaining simulations of the UAV's behaviour and, in the future, to design a control law stabilising the entire flight envelope (hovering and forward flight). We also…

机器人学 · 计算机科学 2024-06-26 Florian Sansou , Gautier Hattenberger , Luca Zaccarian , Fabrice Demourant , Thomas Loquen