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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…

In recent decade, potential application of Unmanned Aerial Vehicles (UAV) has enabled replacement of various operations in hard-to-access areas, such as, inspection, surveillance or search and rescue applications in challenging and complex…

Autonomous identification and evaluation of safe landing zones are of paramount importance for ensuring the safety and effectiveness of aerial robots in the event of system failures, low battery, or the successful completion of specific…

机器人学 · 计算机科学 2024-05-06 Mattia Secchiero , Nishanth Bobbili , Yang Zhou , Giuseppe Loianno

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

Autonomous docking between Unmanned Aerial Vehicles (UAVs) and ground robots is essential for heterogeneous systems, yet most existing approaches target wheeled platforms whose limited mobility constrains exploration in complex terrains.…

机器人学 · 计算机科学 2026-03-10 Haozhe Xu , Cheng Cheng , Hongrui Sang , Zhipeng Wang , Qiyong He , Xiuxian Li , Bin He

Uncrewed aerial vehicles (UAVs) are increasingly used for exploration-driven monitoring in hazardous environments such as disaster zones, contaminated sites, wildfire areas, and damaged infrastructure, where limited flight endurance must be…

机器人学 · 计算机科学 2026-05-28 Jimin Choi , Grant Stagg , Cameron K. Peterson , Max Z. Li

Unmanned Aerial Vehicles (UAVs) equipped with bioradars are a life-saving technology that can enable identification of survivors under collapsed buildings in the aftermath of natural disasters such as earthquakes or gas explosions. However,…

机器人学 · 计算机科学 2024-03-08 Mayank Mittal , Rohit Mohan , Wolfram Burgard , Abhinav Valada

Obstacle avoidance path planning for uncrewed aerial vehicles (UAVs), or drones, is rarely addressed in most flight path planning schemes, despite obstacles being a realistic condition. Obstacle avoidance can also be energy-intensive,…

The quadrotor is popularly used in challenging environments due to its superior agility and flexibility. In these scenarios, trajectory planning plays a vital role in generating safe motions to avoid obstacles while ensuring flight…

机器人学 · 计算机科学 2021-07-06 Lun Quan , Zhiwei Zhang , Xingguang Zhong , Chao Xu , Fei Gao

UAVs showed great efficiency on scanning bridge decks surface by taking a single shot or through stitching a couple of overlaid still images. If potential surface deficits are identified through aerial images, subsequent ground inspections…

计算机视觉与模式识别 · 计算机科学 2019-04-11 Zhexiong Shang , Chongsheng Cheng , Zhigang Shen

The rapid development of unmanned aerial vehicles (UAV) puts forward a higher requirement for autonomous obstacle avoidance. Due to the limited payload and power supply, small UAVs such as quadrotors usually carry simple sensors and…

系统与控制 · 电气工程与系统科学 2020-03-03 Jiajun Ou , Xiao Guo , Ming Zhu , Wenjie Lou

This paper addresses the Dynamic UGV-UAV Cooperative Path Planning (DUCPP) problem involving one unmanned ground vehicle (UGV) assisted by one or more unmanned aerial vehicles (UAVs) operating on an uncertain road network with potentially…

机器人学 · 计算机科学 2026-04-29 Ninh Nguyen , Srinivas Akella

Rooftop 3D reconstruction using UAV-based photogrammetry offers a promising solution for infrastructure assessment, but existing methods often require high percentages of image overlap and extended flight times to ensure model accuracy when…

机器人学 · 计算机科学 2025-11-07 Nick Chodura , Melissa Greeff , Joshua Woods

This letter suggests an integrated approach for a drone (or multirotor) to perform an autonomous videography task in a 3-D obstacle environment by following a moving object. The proposed system includes 1) a target motion prediction module…

机器人学 · 计算机科学 2019-11-22 Boseong Jeon , H. Jin Kim

Rapid response to natural disasters such as earthquakes is a crucial element in ensuring the safety of civil infrastructures and minimizing casualties. Traditional manual inspection is labour-intensive, time-consuming, and can be dangerous…

计算机视觉与模式识别 · 计算机科学 2025-03-14 Xiao Pan , Sina Tavasoli , T. Y. Yang , Sina Poorghasem

Over 600,000 bridges in the U.S. must be inspected every two years to identify flaws, defects, or potential problems that may need follow-up maintenance. Bridge inspection has adopted unmanned aerial vehicles (or drones) for improving…

机器人学 · 计算机科学 2022-02-08 Yu Li , Muhammad Monjurul Karim , Ruwen Qin

The remarkable growth of unmanned aerial vehicles (UAVs) has also sparked concerns about safety measures during their missions. To advance towards safer autonomous aerial robots, this work presents a vision-based solution to ensuring safe…

机器人学 · 计算机科学 2023-10-09 Phuoc Nguyen Thuan , Tomi Westerlund , Jorge Peña Queralta

Research in the field of autonomous Unmanned Aerial Vehicles (UAVs) has significantly advanced in recent years, mainly due to their relevance in a large variety of commercial, industrial, and military applications. However, UAV navigation…

计算机视觉与模式识别 · 计算机科学 2020-02-03 Akkas Haque , Ahmed Elsaharti , Tarek Elderini , Mohamed Atef Elsaharty , Jeremiah Neubert

In this paper, we present a path planner for low-altitude terrain coverage in known environments with unmanned rotary-wing micro aerial vehicles (MAVs). Airborne systems can assist humanitarian demining by surveying suspected hazardous…

机器人学 · 计算机科学 2021-12-07 Rik Bähnemann , Nicholas Lawrance , Jen Jen Chung , Michael Pantic , Roland Siegwart , Juan Nieto

Unmanned Aerial Vehicles (UAVs) are emerging as very important tools in search and rescue (SAR) missions at sea, enabling swift and efficient deployment for locating individuals or vessels in distress. The successful execution of these…

机器人学 · 计算机科学 2024-10-10 Martin Messmer , Andreas Zell