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This paper presents a method for planning optimal trajectories with a team of Unmanned Aerial Vehicles (UAVs) performing autonomous cinematography. The method is able to plan trajectories online and in a distributed manner, providing…

机器人学 · 计算机科学 2021-04-06 Alfonso Alcántara , Jesús Capitán , Rita Cunha , Aníbal Ollero

In recent years, increased wildfires have caused irreversible damage to forest resources worldwide, threatening wildlives and human living conditions. The lack of accurate frontline information in real-time can pose great risks to…

机器人学 · 计算机科学 2021-12-07 Tai Yang , Shumeng Zhang , Yong Wang , Jialei Liu

Teams of autonomous unmanned aircraft can be used to monitor wildfires, enabling firefighters to make informed decisions. However, controlling multiple autonomous fixed-wing aircraft to maximize forest fire coverage is a complex problem.…

机器人学 · 计算机科学 2018-10-12 Kyle D. Julian , Mykel J. Kochenderfer

Efficient aerial data collection is important in many remote sensing applications. In large-scale monitoring scenarios, deploying a team of unmanned aerial vehicles (UAVs) offers improved spatial coverage and robustness against individual…

机器人学 · 计算机科学 2023-03-03 Jonas Westheider , Julius Rückin , Marija Popović

Multi-view Synthetic Aperture Radar (SAR) imaging can effectively enhance the performance of tasks such as automatic target recognition and image information fusion. Unmanned aerial vehicles (UAVs) have the advantages of flexible deployment…

系统与控制 · 电气工程与系统科学 2025-05-23 Deyu Song , Xiangyin Zhang , Zipei Yu , Kaiyu Qin

Autonomous inspection of large geographical areas is a central requirement for efficient hazard detection and disaster management in future cyber-physical systems such as smart cities. In this regard, exploiting unmanned aerial vehicle…

系统与控制 · 计算机科学 2018-08-21 Momena Monwar , Omid Semiari , Walid Saad

Drone swarms coupled with data intelligence can be the future of wildfire fighting. However, drone swarm firefighting faces enormous challenges, such as the highly complex environmental conditions in wildfire scenes, the highly dynamic…

计算机与社会 · 计算机科学 2024-11-26 Shijie Pan , Aoran Cheng , Yiqi Sun , Kai Kang , Cristobal Pais , Yulun Zhou , Zuo-Jun Max Shen

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 studies the collision avoidance problem for autonomous multiple fixedwing UAVs in the complex integrated airspace. By studying and combining the online path planning method, the distributed model predictive control algorithm, and…

机器人学 · 计算机科学 2020-06-01 Yajing Wang , Xiangke Wang , Shulong Zhao , Lincheng Shen

Unmanned Aerial Vehicle (UAV) spectral remote sensing technology is widely used in water quality monitoring. However, in dynamic environments, varying illumination conditions, such as shadows and specular reflection (sun glint), can cause…

机器人学 · 计算机科学 2026-03-23 Yuanshuang Fu , Qianyao Wang , Qihao Wang , Bonan Zhang , Jiaxin Zhao , Yiming Cao , Zhijun Li

A novel prize-winner algorithm designed for a path following problem within the Unmanned Aerial Vehicle (UAV) field is presented in this paper. The proposed approach exploits the advantages offered by the pure pursuing algorithm to set up…

This paper presents a comprehensive overview of exploration strategies utilized in both 2D and 3D environments, focusing on autonomous multi-robot systems designed for building exploration and fire detection. We explore the limitations of…

机器人学 · 计算机科学 2024-11-26 Ankit Shaw

This work introduces a cooperative inspection system designed to efficiently control and coordinate a team of distributed heterogeneous UAV agents for the inspection of 3D structures in cluttered, unknown spaces. Our proposed approach…

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.…

This work presents an efficient method to solve a class of continuous-time, continuous-space stochastic optimal control problems of robot motion in a cluttered environment. The method builds upon a path integral representation of the…

系统与控制 · 计算机科学 2016-03-10 Jung-Su Ha , Han-Lim Choi

Recent huge technological development of Unmanned Aerial Vehicles (UAVs) can provide breakthrough means of fighting wildland fires. We propose an innovative forest firefighting system based on the use of a swarm of hundreds of UAVs able to…

机器人学 · 计算机科学 2020-12-21 Elena Ausonio , Patrizia Bagnerini , Marco Ghio

This paper presents a study on the development of an obstacle-avoidance navigation system for autonomous navigation in home environments. The system utilizes vision-based techniques and advanced path-planning algorithms to enable the robot…

计算机视觉与模式识别 · 计算机科学 2023-07-04 Sagar Manglani

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

Unmanned aerial vehicles (UAVs) are increasingly utilized in global search and rescue efforts, enhancing operational efficiency. In these missions, a coordinated swarm of UAVs is deployed to efficiently cover expansive areas by capturing…

机器人学 · 计算机科学 2024-05-21 Sina Kazemdehbashi , Yanchao Liu

Autonomous drone technology holds significant promise for enhancing search and rescue operations during evacuations by guiding humans toward safety and supporting broader emergency response efforts. However, their application in dynamic,…

多智能体系统 · 计算机科学 2025-10-29 Maria G. Mendoza , Addison Kalanther , Daniel Bostwick , Emma Stephan , Chinmay Maheshwari , Shankar Sastry