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This paper addresses the challenge of navigating unmanned aerial vehicles in contested environments by introducing a cooperative multi-agent framework that increases the likelihood of safe UAV traversal. The approach involves two types of…

最优化与控制 · 数学 2025-09-03 Grant Stagg , Cameron K. Peterson

Energy-sharing UAV-UGV systems extend the endurance of Uncrewed Aerial Vehicles (UAVs) by leveraging Uncrewed Ground Vehicles (UGVs) as mobile charging stations, enabling persistent autonomy in infrastructure-sparse environments. Trajectory…

最优化与控制 · 数学 2026-03-31 Minsen Yuan , Amanuel Adane , James Humann , Yue Yu

This article presents a framework and develops a formulation to solve a path planning problem for multiple heterogeneous Unmanned Vehicles (UVs) with uncertain service times for each vehicle--target pair. The vehicles incur a penalty…

机器人学 · 计算机科学 2018-07-30 Kaarthik Sundar , Saravanan Venkatachalam , Satyanarayana G. Manyam

Efficient mission planning for cooperative systems involving Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) requires addressing energy constraints, scalability, and coordination challenges between agents. UAVs excel in…

This paper addresses the problem of active collaborative localization in heterogeneous robot teams with unknown data association. It involves positioning a small number of identical unmanned ground vehicles (UGVs) at desired positions so…

机器人学 · 计算机科学 2023-08-15 Igor Spasojevic , Xu Liu , Ankit Prabhu , Alejandro Ribeiro , George J. Pappas , Vijay Kumar

The area coverage problem is the task of efficiently servicing a given two-dimensional surface using sensors mounted on robots such as unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). We present a novel formulation for…

机器人学 · 计算机科学 2022-08-23 Saurav Agarwal , Srinivas Akella

Reliable estimation of network-wide traffic states is essential for urban traffic management. Unmanned Aerial Vehicles (UAVs), with their airborne full-sample continuous trajectory observation, bring new opportunities for traffic state…

最优化与控制 · 数学 2025-10-29 Jiarong Yao , Chaopeng Tan , Meng Wang , Wei Ma

In this article, we consider a multi-agent path planning problem in a stochastic environment. The environment, which can be an urban road network, is represented by a graph where the travel time for selected road segments (impeded edges) is…

One of the most critical applications undertaken by coalitions of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) is reaching predefined targets by following the most time-efficient routes while avoiding collisions.…

In this paper, we present an approach to optimizing the last-mile delivery route of a truck using coordination with unmanned aerial vehicles (UAVs). First, a traveling salesman problem is formulated to determine the truck's route. Then, a…

最优化与控制 · 数学 2019-03-13 Ben Remer , Andreas A. Malikopoulos

There is a strong demand for covering a large area autonomously by multiple UAVs (Unmanned Aerial Vehicles) supported by a ground vehicle. Limited by UAVs' battery life and communication distance, complete coverage of large areas typically…

机器人学 · 计算机科学 2019-11-25 Di Deng , Wei Jing , Yuhe Fu , Ziyin Huang , Jiahong Liu , Kenji Shimada

This letter aims to present a novel approach for unmanned aerial vehicles (UAV)' path planning with respect to certain quality of service requirements. More specifically, we study the max-min fairness problem in an air-to-ground…

计算工程、金融与科学 · 计算机科学 2019-12-05 Amine Bejaoui , Ki-Hong Park , Mohamed Slim Alouini

We present a waypoint planning algorithm for an unmanned aerial vehicle (UAV) that is teamed with an unmanned ground vehicle (UGV) for the task of search and rescue in a subterranean environment. The UAV and UGV are teamed such that the…

机器人学 · 计算机科学 2021-02-12 Matteo De Petrillo , Jared Beard , Yu Gu , Jason N. Gross

Autonomous unmanned aerial vehicle (UAV) swarm networks (UAVSNs) can effectively execute surveillance, connectivity, and computing services to ground users (GUs). These missions require trajectory planning, UAV-GUs association, task…

系统与控制 · 电气工程与系统科学 2024-10-15 Muhammad Morshed Alam , Muhammad Yeasir Aarafat , Tamim Hossain

Fixed-wind unmanned aerial vehicles (UAVs) are essential for low cost aerial surveillance and mapping applications in remote regions. One of the main limitations of UAVs is limited fuel capacity and hence requires periodic refueling to…

最优化与控制 · 数学 2016-12-21 Alessandro Rucco , PB Sujit , Pedro Aguiar , Joao Sousa , Fernando Pereira

This letter addresses the problem of trajectory planning in a marsupial robotic system consisting of an unmanned aerial vehicle (UAV) linked to an unmanned ground vehicle (UGV) through a non-taut tether with controllable length. To the best…

机器人学 · 计算机科学 2023-07-27 S. Martínez-Rozas , D. Alejo , F. Caballero , L. Merino

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

Joint deployment of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) has been shown to be an effective method to establish communications in areas affected by disasters. However, ensuring good Quality of Services (QoS)…

机器人学 · 计算机科学 2026-04-13 Ndagijimana Cyprien , Mehdi Sookhak , Hosein Zarini , Chandra N Sekharan , Mohammed Atiquzzaman

The Unmanned Aerial Vehicle (UAV) path planning problem is a complex optimization problem in the field of robotics. In this paper, we investigate the possible utilization of this problem in benchmarking global optimization methods. We…

神经与进化计算 · 计算机科学 2025-01-27 Mhd Ali Shehadeh , Jakub Kudela

Unmanned aerial vehicular network (UAVN) is envisioned to provide flexible connectivity, wide-area coverage, and low-latency services in dynamic environments. From an agentic artificial intelligence (Agentic AI) perspective, UAVNs naturally…

分布式、并行与集群计算 · 计算机科学 2026-05-12 Xin Tang , Xiaohuan Li , Qian Chen , Binhan Liao , Yaqi Zhang , Jianxin Chen , Changyuan Zhao , Junchuan Fan , Junxi Tian