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This paper describes a reflexive multilayered mission planner with a mounted energy efficient local path planner for Unmanned Underwater Vehicle's (UUV) navigation throughout the complex subsea volume in a time-variant semi-dynamic…

机器人学 · 计算机科学 2020-07-21 S. MahmoudZadeh , D. M. W Powers , A. Atyabi

This paper presents a hybrid route-path planning model for an Autonomous Underwater Vehicle's task assignment and management while the AUV is operating through the variable littoral waters. Several prioritized tasks distributed in a large…

机器人学 · 计算机科学 2017-11-21 Somaiyeh Mahmoud. Zadeh , David M. W Powers , Karl Sammut , Amir Mehdi Yazdani , Adham Atyabi

Unmanned aerial vehicle (UAV) is becoming increasingly important in modern civilian and military applications. However, its novel use cases is bottlenecked by conventional satellite and terrestrial localization technologies, and calling for…

信号处理 · 电气工程与系统科学 2024-01-10 Bin Han , Hans D. Schotten

Using autonomous underwater vehicles, or AUVs, has completely changed how we gather data from the ocean floor. AUV innovation has advanced significantly, especially in the analysis of images, due to the increasing need for accurate and…

计算机视觉与模式识别 · 计算机科学 2023-11-20 Rajesh Sharma R , Akey Sungheetha , Chinnaiyan R

We propose a novel hybrid system (both hardware and software) of an Unmanned Aerial Vehicle (UAV) carrying a miniature Unmanned Ground Vehicle (miniUGV) to perform a complex search and manipulation task. This system leverages heterogeneous…

机器人学 · 计算机科学 2022-09-26 Durgakant Pushp , Swapnil Kalhapure , Kaushik Das , Lantao Liu

This paper addresses the challenge of energy-constrained maritime monitoring networks by proposing an unmanned aerial vehicle (UAV)-enabled integrated sensing, communication, powering and backhaul transmission scheme with a tailored…

信号处理 · 电气工程与系统科学 2025-06-02 Bohan Li , Jiahao Liu , Yujun Liang , Qian Li , Haochen Liu , Yaoyuan Zhang , Junsheng Mu , Shahid Mumtaz , Sheng Chen

This paper presents the design and implementation of a self-reconfigurable V-shape formation controller for multiple unmanned aerial vehicles (UAVs) navigating through narrow spaces in a dense obstacle environment. The selection of the…

机器人学 · 计算机科学 2024-02-14 Duy Nam Bui , Manh Duong Phung , Hung Pham Duy

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

Underwater docking is critical to enable the persistent operation of Autonomous Underwater Vehicles (AUVs). For this, the AUV must be capable of detecting and localizing the docking station, which is complex due to the highly dynamic…

机器人学 · 计算机科学 2024-10-28 Jalil Chavez-Galaviz , Jianwen Li , Matthew Bergman , Miras Mengdibayev , Nina Mahmoudian

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

The growing use of Unmanned Aerial Vehicles (UAVs) for various applications requires ubiquitous and reliable connectivity for safe control and data exchange between these devices and ground terminals. Depending on the application,…

网络与互联网体系结构 · 计算机科学 2019-01-09 Evgenii Vinogradov , Hazem Sallouha , Sibren De Bast , Mohammad Mahdi Azari , Sofie Pollin

There is an increased interest in the use of Unmanned Aerial Vehicles (UAVs) for agriculture, military, disaster management and aerial photography around the world. UAVs are scalable, flexible and are useful in various environments where…

计算机视觉与模式识别 · 计算机科学 2020-08-05 Bapireddy Karri

Special-purpose Autonomous Underwater Vehicles (AUVs) are utilised for benthic (seafloor) surveys, where the vehicle collects optical imagery of the seafloor. Due to the small-sensor footprint of the cameras and the vast areas to be…

机器人学 · 计算机科学 2024-01-01 Jackson Shields , Oscar Pizarro , Stefan B. Williams

Approximately seventy-one percent of the Earth is covered in water. Of that area, ninety-five percent of the ocean has never been explored or mapped. There are several engineering challenges that have prevented the exploration of the deep…

大气与海洋物理 · 物理学 2025-05-30 Devanshu Saxena

This article introduces a five-tiered route planner for accessing multiple nodes with multiple autonomous underwater vehicles (AUVs) that enables efficient task completion in stochastic ocean environments. First, the pre-planning tier…

机器人学 · 计算机科学 2023-11-14 Jiaxin Zhang , Meiqin Liu , Senlin Zhang , Ronghao Zheng , Shanling Dong

Autonomous underwater vehicles (AUVs) have become indispensable for deep-sea exploration, spanning critical scientific research and commercial applications. The rapid attenuation of electromagnetic waves renders satellite radio signals…

机器人学 · 计算机科学 2026-05-07 Guy Damari , Zeev Yampolsky , Nadav Cohen , Arup Kumar Sahoo , Jeryes Danial , Felipe O. Silva , Itzik Klein

In this paper, a combat Unmanned Air Vehicle (UAV) is modeled in the simulation environment. The rotary wing UAV is successfully performed various tasks such as locking on the targets, tracking, and sharing the relevant data with…

机器人学 · 计算机科学 2022-06-28 A. Huzeyfe Demir , Berke Yavas , Mehmet Yazici , Dogukan Aksu , M. Ali Aydin

Current advancements in waterborne autonomous systems, together with the development of cloud-based service-oriented architectures and the recent availability of low-cost underwater acoustic modems and long-range above water wireless…

We present DAVE Aquatic Virtual Environment (DAVE), an open source simulation stack for underwater robots, sensors, and environments. Conventional robotics simulators are not designed to address unique challenges that come with the marine…

Autonomous Underwater Vehicles (AUVs) need to operate for days without human intervention and thus must be able to do efficient and reliable task planning. Unfortunately, efficient task planning requires deliberately abstract domain models…