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Path Planning methods for autonomously controlling swarms of unmanned aerial vehicles (UAVs) are gaining momentum due to their operational advantages. An increasing number of scenarios now require autonomous control of multiple UAVs, as…

机器人学 · 计算机科学 2024-12-05 Alejandro Puente-Castro , Enrique Fernandez-Blanco , Daniel Rivero

Autonomous Unmanned Aerial Vehicles (UAVs) have gained popularity due to their many potential application fields. Alongside sophisticated sensors, UAVs can be equipped with communication adaptors aimed for inter-UAV communication.…

机器人学 · 计算机科学 2016-07-18 Matthias R. Brust , Bogdan M. Strimbu

This paper explores the application of Artificial Intelligence (AI) techniques for generating the trajectories of fleets of Unmanned Aerial Vehicles (UAVs). The two main challenges addressed include accurately predicting the paths of UAVs…

机器人学 · 计算机科学 2024-05-21 Amit Raj , Kapil Ahuja , Yann Busnel

This paper addresses the increasing significance of UAVs (Unmanned Aerial Vehicles) and the emergence of UAV swarms for collaborative operations in various domains. However, the effectiveness of UAV swarms can be severely compromised by…

机器人学 · 计算机科学 2024-05-03 Haechan Jeong

Unmanned Aerial Vehicle (UAV) swarms adoption shows a steady growth among operators due to the benefits in time and cost arisen from their use. However, this kind of system faces an important problem which is the calculation of many optimal…

多智能体系统 · 计算机科学 2022-03-07 Alejandro Puente-Castro , Daniel Rivero , Alejandro Pazos , Enrique Fernandez-Blanco

This article proposes Persistence Administered Collective Navigation (PACNav) as an approach for achieving decentralized collective navigation of Unmanned Aerial Vehicle (UAV) swarms. The technique is based on the flocking and collective…

机器人学 · 计算机科学 2023-02-13 Afzal Ahmad , Daniel Bonilla Licea , Giuseppe Silano , Tomas Baca , Martin Saska

Swarms of Unmanned Aerial Vehicles (UAV) have demonstrated enormous potential in many industrial and commercial applications. However, before deploying UAVs in the real world, it is essential to ensure they can operate safely in complex…

机器人学 · 计算机科学 2024-12-11 Longhao Yan , Jingyuan Zhou , Kaidi Yang

The growing use of mobile robots in sectors such as automotive, agriculture, and rescue operations reflects progress in robotics and autonomy. In unmanned aerial vehicles (UAVs), most research emphasizes visual SLAM, sensor fusion, and path…

机器人学 · 计算机科学 2025-06-26 Jingwen Wei

Unmanned aerial vehicles (UAVs) have become very popular for many military and civilian applications including in agriculture, construction, mining, environmental monitoring, etc. A desirable feature for UAVs is the ability to navigate and…

机器人学 · 计算机科学 2021-11-02 Taha Elmokadem

In this paper, we propose a joint indoor localization and navigation algorithm to enable a swarm of unmanned aerial vehicles (UAVs) to deploy in a specific spatial formation in indoor environments. In the envisioned scenario, we consider a…

信号处理 · 电气工程与系统科学 2020-07-23 Anna Guerra , Davide Dardari , Petar M. Djuric

Efficient trajectory generation in complex dynamic environments remains an open problem in the unmanned surface vehicle (USV). The perception of the USV is usually interfered with by the swing of the hull and the ambient weather, making it…

机器人学 · 计算机科学 2023-01-31 Tao Huang , Zhe Chen , Wang Gao , Zhenfeng Xue , Yong Liu

This article presents Persistence Administered Collective Navigation (PACNav) as an approach for achieving decentralized collective navigation of Unmanned Aerial Vehicle (UAV) swarms. The technique is inspired by the flocking and collective…

机器人学 · 计算机科学 2024-04-23 Afzal Ahmad , Daniel Bonilla Licea , Giuseppe Silano , Tomas Baca , Martin Saska

Unmanned Aerial Vehicle (UAV) technology is a promising solution for providing high-quality mobile services to ground users, where a UAV with limited service coverage travels among multiple geographical user locations (e.g., hotspots) for…

网络与互联网体系结构 · 计算机科学 2021-09-01 Kai Wang , Xiao Zhang , Lingjie Duan , Jun Tie

Unmanned aerial vehicles (UAVs) are expected to be an integral part of wireless networks, and determining collision-free trajectory in multi-UAV non-cooperative scenarios while collecting data from distributed Internet of Things (IoT) nodes…

信号处理 · 电气工程与系统科学 2023-12-12 Xueyuan Wang , M. Cenk Gursoy , Tugba Erpek , Yalin E. Sagduyu

Unmanned aerial vehicle (UAV) swarms are increasingly deployed in vast low-altitude applications, owing to their capabilities in distributed sensing, flexible communication, and autonomous coordination. Nevertheless, the open and highly…

密码学与安全 · 计算机科学 2026-05-27 Yuntao Wang , Haojia Yang , Han Liu , Jianle Ba , Zhou Su

Path planning is important for the autonomy of Unmanned Aerial Vehicle (UAV), especially for scheduling UAV delivery. However, the operating environment of UAVs is usually uncertain and dynamic. Without proper planning, collisions may…

系统与控制 · 计算机科学 2018-05-10 Ziji Shi , Wee Keong Ng

Path Planning methods for autonomous control of Unmanned Aerial Vehicle (UAV) swarms are on the rise because of all the advantages they bring. There are more and more scenarios where autonomous control of multiple UAVs is required. Most of…

This paper presents a UAV swarm system designed to assist first responders in disaster scenarios like wildfires. By distributing sensors across multiple agents, the system extends flight duration and enhances data availability, reducing the…

Formation flight of unmanned aerial vehicles (UAVs) poses significant challenges in terms of safety and formation keeping, particularly in cluttered environments. However, existing methods often struggle to simultaneously satisfy these two…

机器人学 · 计算机科学 2024-07-25 Qingzhao Liu , Bailing Tian , Xuewei Zhang , Junjie Lu , Zhiyu Li

The advancement in cyber-physical systems has opened a new way in disaster management and rescue operations. The usage of UAVs is very promising in this context. UAVs, mainly quadcopters, are small in size and their payload capacity is…

分布式、并行与集群计算 · 计算机科学 2024-05-02 Arindam Majee , Rahul Saha , Snehasish Roy , Srilekha Mandal , Sayan Chatterjee
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