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The paper presents a two-stage stochastic program to model a routing problem involving an Unmanned Aerial Vehicle (UAV) in the context of patrolling missions. In particular, given a set of targets and a set of supplemental targets…

最优化与控制 · 数学 2021-07-01 Sudarshan Rajan , Kaarthik Sundar , Natarajan Gautam

An unmanned aircraft system (UAS) consists of an unmanned aerial vehicle (UAV) and its controller which use radios to communicate. While the remote controller (RC) is traditionally operated by a person who is maintaining visual line of…

信号处理 · 电气工程与系统科学 2021-03-02 Aly Sabri Abdalla , Vuk Marojevic

Autonomous exploration using unmanned aerial vehicles (UAVs) is essential for various tasks such as building inspections, rescue operations, deliveries, and warehousing. However, there are two main limitations to previous approaches: they…

This paper presents an algorithm for solving the problem of tracking smooth curves by a fixed wing unmanned aerial vehicle travelling with a constant airspeed and under a constant wind disturbance. The algorithm is based on the idea of…

机器人学 · 计算机科学 2017-02-16 Hector Garcia de Marina , Yuri A. Kapitanyuk , Murat Bronz , Gautier Hattenberger , Ming Cao

Unmanned aerial vehicles (UAVs) have become important in many applications including last-mile deliveries, surveillance and monitoring, and wireless networks. This paper aims to design UAV trajectories that simultaneously perform multiple…

信息论 · 计算机科学 2019-11-14 Mohammadjavad Khosravi , Hamid Saeedi , Hossein Pishro-Nik

Unmanned Aerial Vehicles (UAV) have emerged as versatile platforms, driving the demand for accurate modeling to support developmental testing. This paper proposes data-driven modeling software for UAV. Emphasizes the utilization of…

This study presents a new methodology for learning-based motion planning for autonomous exploration using aerial robots. Through the reinforcement learning method of learning through trial and error, the action policy is derived that can…

机器人学 · 计算机科学 2021-10-06 Sunggoo Jung , David Hyunchul Shim

An autonomous indoor aerial vehicle requires reliable simul- taneous localization and mapping (SLAM), accurate flight control, and robust path planning for navigation. This paper presents a system level combination of these existing…

机器人学 · 计算机科学 2018-08-07 Lachlan Dowling , Tomas Poblete , Isaac Hook , Hao Tang , Ying Tan , Will Glenn , Ranjith R Unnithan

Unmanned Aerial Vehicles grow more popular by the day and applications for them are crossing boundaries of science and industry, with everything from aerial photography to package delivery to disaster management benefiting from the…

机器人学 · 计算机科学 2022-09-30 Adarsh Salagame , Sushant Govindraj , S. N. Omkar

In this paper, we investigate joint 3-dimensional (3D) trajectory planning and resource allocation for rotary-wing unmanned aerial vehicle (UAV) synthetic aperture radar (SAR) sensing. To support emerging real-time SAR applications and…

信号处理 · 电气工程与系统科学 2024-04-02 Mohamed-Amine Lahmeri , Walid R. Ghanem , Christina Bonfert , Robert Schober

Selective interception of objects in unknown environment autonomously by UAVs is an interesting problem. In this work, vision based interception is carried out. This problem is a part of challenge 1 of Mohammed Bin Zayed International…

Unmanned aerial vehicles are now becoming increasingly accessible to amateur and commercial users alike. A safety air traffic management system is needed to help ensure that every newest entrant into the sky does not collide with others.…

机器人学 · 计算机科学 2026-01-27 Quan Quan , Rao Fu , Kai-Yuan

Localizing ground devices (GDs) is an important requirement for a wide variety of applications, such as infrastructure monitoring, precision agriculture, search and rescue operations, to name a few. To this end, unmanned aerial vehicles…

信号处理 · 电气工程与系统科学 2020-12-17 Francesco Betti Sorbelli , Cristina M. Pinotti , Simone Silvestri , Sajal K. Das

Unmanned Aerial Vehicles (UAVs) are increasingly used in automated inspection, delivery, and navigation tasks that require reliable autonomy. This project develops a reinforcement learning (RL) approach to enable a single UAV to…

机器人学 · 计算机科学 2025-09-18 Salim Oyinlola , Nitesh Subedi , Soumik Sarkar

While deep reinforcement learning (RL) methods have achieved unprecedented successes in a range of challenging problems, their applicability has been mainly limited to simulation or game domains due to the high sample complexity of the…

人工智能 · 计算机科学 2017-09-26 Siyi Li , Tianbo Liu , Chi Zhang , Dit-Yan Yeung , Shaojie Shen

We propose a novel hybrid system (both hardware and software) of an Unmanned Aerial Vehicle (UAV) carrying a miniature Unmanned Ground Vehicle (miniUGV) to perform a complex search and manipulation task. This system leverages heterogeneous…

机器人学 · 计算机科学 2022-09-26 Durgakant Pushp , Swapnil Kalhapure , Kaushik Das , Lantao Liu

Unmanned Aerial Vehicles (UAVs) are poised to revolutionize communications. Utilizing their flexibility and fast deployment, we can deliver content in congested areas or provide services in areas without infrastructure. In this paper, we…

网络与互联网体系结构 · 计算机科学 2020-02-11 Emmanouil Fountoulakis , Georgios S. Paschos , Nikolaos Pappas

This paper addresses a UAV path planning task that seeks to observe a set of objects while satisfying the observation quality constraint. A dynamic programming algorithm is proposed that enables the UAV to observe the target objects with…

机器人学 · 计算机科学 2024-11-12 Jiawei Wang , Weiwei Wu , Yijing Wang , Yan Lyu , Vincent Chau

This paper proposes a coordinate-free controller to drive a mobile robot to encircle a target at unknown position by only using range measurements. Different from the existing works, a backstepping based controller is proposed to encircle…

系统与控制 · 电气工程与系统科学 2020-03-31 Fei Dong , Keyou You , Shiji Song

In this paper, we explore the application of Unmanned Aerial Vehicles (UAVs) in maritime search and rescue (mSAR) missions, focusing on medium-sized fixed-wing drones and quadcopters. We address the challenges and limitations inherent in…

机器人学 · 计算机科学 2024-03-22 Martin Messmer , Benjamin Kiefer , Leon Amadeus Varga , Andreas Zell