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Nowadays, unmanned aerial vehicles or UAVs are being used for a wide range of tasks, including infrastructure inspection, automated monitoring and coverage. This paper investigates the problem of 3D inspection planning with an autonomous…

Effective risk monitoring in dynamic environments such as disaster zones requires an adaptive exploration strategy to detect hidden threats. We propose a bi-level unmanned aerial vehicle (UAV) monitoring strategy that efficiently integrates…

Optimization and Control · Mathematics 2026-01-22 Jimin Choi , Grant Stagg , Cameron K. Peterson , Max Z. Li

Planning the path to gather the surface information of the target objects is crucial to improve the efficiency of and reduce the overall cost, for visual inspection applications with Unmanned Aerial Vehicles (UAVs). Coverage Path Planning…

Robotics · Computer Science 2019-08-09 Wei Jing , Di Deng , Zhe Xiao , Yong Liu , Kenji Shimada

We study the problem of infrastructure inspection using an Unmanned Aerial Vehicle (UAV) in box girder bridge environments. We consider a scenario where the UAV needs to fully inspect box girder bridges and localize along the bridge surface…

Robotics · Computer Science 2019-10-08 Kevin Yu , Prajwal Shanthakumar , Jonah Orevillo , Eric Bianchi , Matthew Hebdon , Pratap Tokekar

With technological advancement, drone has emerged as unmanned aerial vehicle that can be controlled by humans to fly or reach a destination. This may be autonomous as well, where the drone itself is intelligent enough to find a shortest…

Artificial Intelligence · Computer Science 2021-12-06 Prithwish Jana , Debasish Jana

Multi Agent Path Finding (MAPF) seeks the optimal set of paths for multiple agents from respective start to goal locations such that no paths conflict. We address the MAPF problem for a fleet of hybrid-fuel unmanned aerial vehicles which…

Optimization and Control · Mathematics 2024-03-27 Drew Scott , Satyanarayana G. Manyam , David W. Casbeer , Manish Kumar , Isaac E. Weintraub

Path planning for high-speed unmanned surface vehicles requires more complex solutions to reduce sailing time and save energy. This article proposes a new predictive artificial potential field that incorporates time information and…

Robotics · Computer Science 2026-02-24 Jia Song , Ce Hao , Jiangcheng Su

Target tracking has numerous significant civilian and military applications, and maintaining the visibility of the target plays a vital role in ensuring the success of the tracking task. Existing visibility-aware planners primarily focus on…

Robotics · Computer Science 2024-08-28 Han Gao , Pengying Wu , Yao Su , Kangjie Zhou , Ji Ma , Hangxin Liu , Chang Liu

Quadrotors hold significant promise for several applications such as agriculture, search and rescue, and infrastructure inspection. Achieving autonomous operation requires systems to navigate safely through complex and unfamiliar…

Robotics · Computer Science 2025-10-07 Jeffrey Mao , Raghuram Cauligi Srinivas , Steven Nogar , Giuseppe Loianno

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…

Robotics · Computer Science 2026-03-23 Yuanshuang Fu , Qianyao Wang , Qihao Wang , Bonan Zhang , Jiaxin Zhao , Yiming Cao , Zhijun Li

Path planning for robotic coverage is the task of determining a collision-free robot trajectory that observes all points of interest in an environment. Robots employed for such tasks are often capable of exercising active control over…

Robotics · Computer Science 2020-11-17 Tushar Kusnur , Dhruv Mauria Saxena , Maxim Likhachev

Unmanned aerial vehicles (UAVs) are widely used platforms to carry data capturing sensors for various applications. The reason for this success can be found in many aspects: the high maneuverability of the UAVs, the capability of performing…

Computer Vision and Pattern Recognition · Computer Science 2023-05-18 Mehdi Maboudi , MohammadReza Homaei , Soohwan Song , Shirin Malihi , Mohammad Saadatseresht , Markus Gerke

This paper presents a novel on-line path planning method that enables aerial robots to interact with surfaces. We present a solution to the problem of finding trajectories that drive a robot towards a surface and move along it. Triangular…

Robotics · Computer Science 2021-02-23 Michael Pantic , Lionel Ott , Cesar Cadena , Roland Siegwart , Juan Nieto

This paper reports on an algorithm for planning trajectories that allow a multirotor micro aerial vehicle (MAV) to quickly identify a set of unknown parameters. In many problems like self calibration or model parameter identification some…

Robotics · Computer Science 2018-02-20 Rik Bähnemann , Michael Burri , Enric Galceran , Roland Siegwart , Juan Nieto

Large environments are challenging for path planning algorithms as the size of the configuration space increases. Furthermore, if the environment is mainly unexplored, large amounts of the path are planned through unknown areas. Hence, a…

Robotics · Computer Science 2024-10-01 Oliver Schumann , Michael Buchholz , Klaus Dietmayer

Various applications of advanced air mobility (AAM) in urban environments facilitate our daily life and public services. As one of the key issues of realizing these applications autonomously, path planning problem has been studied with main…

Optimization and Control · Mathematics 2021-07-06 Bizhao Pang , Xinting Hu , Wei Dai , Kin Huat Low

This paper presents a new swarm intelligence-based approach to deal with the cooperative path planning problem of unmanned aerial vehicles (UAVs), which is essential for the automatic inspection of infrastructure. The approach uses a 3D…

Systems and Control · Electrical Eng. & Systems 2024-02-14 Duy Nam Bui , Thuy Ngan Duong , Manh Duong Phung

Unmanned aerial vehicles (UAVs) can provide wireless access to terrestrial users, regardless of geographical constraints, and will be an important part of future communication systems. In this paper, a multi-user downlink dual-UAVs enabled…

Information Theory · Computer Science 2023-10-24 Hongjiang Lei , Jiacheng Jiang , Imran Shafique Ansari , Gaofeng Pan , Mohamed-Slim Alouini

Multi-agent pathfinding (MAPF) is the problem of finding a set of conflict-free paths for a set of agents. Typically, the agents' moves are limited to a pre-defined graph of possible locations and allowed transitions between them, e.g. a…

Artificial Intelligence · Computer Science 2024-09-02 Konstantin Yakovlev , Anton Andreychuk , Roni Stern

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…

Robotics · Computer Science 2023-01-31 Tao Huang , Zhe Chen , Wang Gao , Zhenfeng Xue , Yong Liu