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Advances in hardware technology have facilitated more integration of sophisticated software toward augmenting the development of Unmanned Vehicles (UVs) and mitigating constraints for onboard intelligence. As a result, UVs can operate in…

Artificial Intelligence · Computer Science 2020-07-21 Somaiyeh MahmoudZadeh , David MW Powers , Reza Bairam Zadeh

This work establishes COMPRA, a compact and reactive autonomy framework for fast deployment of Micro Aerial Vehicles (MAVs) in subterranean Search-and-Rescue (SAR) missions. A COMPRA-enabled MAV is able to autonomously explore previously…

The vision of unmanned aerial vehicles is very significant for UAV-related applications such as search and rescue, landing on a moving platform, etc. In this work, we have developed an integrated system for the UAV landing on the moving…

Robotics · Computer Science 2023-01-03 Kangcheng Liu

This paper presents a method for cave surveying in total darkness using an autonomous aerial vehicle equipped with a depth camera for mapping, downward-facing camera for state estimation, and forward and downward lights. Traditional methods…

Robotics · Computer Science 2021-10-19 Wennie Tabib , Kshitij Goel , John Yao , Curtis Boirum , Nathan Michael

Efficient UAV exploration in unknown environments requires rapid coverage expansion while maintaining accurate and reliable localization, since safe navigation in complex scenes depends on consistent mapping and pose estimation. However,…

Robotics · Computer Science 2026-05-15 Jianping Li , Pengfei Wan , Zhongyuan Liu , Yi Wang , Yiheng Chen , Xinhang Xu , Rui Jin , Boyu Zhou , Lihua Xie

Environmental monitoring of marine environments presents several challenges: the harshness of the environment, the often remote location, and most importantly, the vast area it covers. Manual operations are time consuming, often dangerous,…

Unmanned aerial vehicles (UAV) are commonly used for missions in unknown environments, where an exact mathematical model of the environment may not be available. This paper provides a framework for using reinforcement learning to allow the…

Robotics · Computer Science 2018-01-17 Huy X. Pham , Hung M. La , David Feil-Seifer , Luan V. Nguyen

This paper presents preliminary results towards the development of an autonomous ocean observing system using Miniature Underwater Gliders (MUGs) that can operate with the support of Unmanned Aerial Vehicles (UAVs) and Unmanned Surface…

Unmanned Aerial Vehicles (UAVs), in particular Drones, have gained significant importance in diverse sectors, mainly military uses. Recently, we can see a growth in acceptance of autonomous UAVs in civilian spaces as well. However, there is…

Robotics · Computer Science 2021-08-31 Anamta Khan

Collapsing of structural buildings has been sighted commonly and the presence of potential faults has proved to be damaging to the buildings, resulting in accidents. It is essential to continuously monitor any building for faults where…

In this study, a novel technique for the autonomous visual inspection of rotating wind turbine rotor blades utilizing an unmanned aerial vehicle (UAV) was developed. This approach addresses the challenges presented by the dynamic…

Robotics · Computer Science 2023-06-27 Toma Sikora , Lovro Markovic , Stjepan Bogdan

Modular autonomous vehicles (MAVs) represent a transformative paradigm in the rapidly advancing field of autonomous vehicle technology. The integration of modularity offers numerous advantages, poised to reshape urban mobility systems and…

Robotics · Computer Science 2024-12-25 Lanhang Ye , Toshiyuki Yamamoto

This article proposes a new Unmanned Aerial Vehicle (UAV) operation paradigm to enable a large number of relatively low-cost UAVs to fly beyond-line-of-sight without costly sensing and communication systems or substantial human intervention…

Systems and Control · Computer Science 2018-01-04 Santosh Devasia , Alexander Lee

An Autonomous Underwater Vehicle (AUV) should carry out complex tasks in a limited time interval. Since existing AUVs have limited battery capacity and restricted endurance, they should autonomously manage mission time and the resources to…

Robotics · Computer Science 2017-06-15 Somaiyeh Mahmoud. Zadeh

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…

Systems and Control · Computer Science 2018-08-21 Momena Monwar , Omid Semiari , Walid Saad

The communication system is a critical part of the system design for the autonomous UAV. It has to address different considerations, including efficiency, reliability and mobility of the UAV. In addition, a multi-UAV system requires a…

Networking and Internet Architecture · Computer Science 2021-11-15 Liping Shi , Néstor J. Hernández Marcano , Rune Hylsberg Jacobsen

Navigation underwater traditionally is done by keeping a safe distance from obstacles, resulting in "fly-overs" of the area of interest. Movement of an autonomous underwater vehicle (AUV) through a cluttered space, such as a shipwreck or a…

The growing use of mobile robots in sectors such as automotive, agriculture, and rescue operations reflects progress in robotics and autonomy. In unmanned aerial vehicles (UAVs), most research emphasizes visual SLAM, sensor fusion, and path…

Robotics · Computer Science 2025-06-26 Jingwen Wei

The use of multi-rotor Unmanned Aerial Vehicles (UAVs) for search and rescue as well as remote sensing is rapidly increasing. Multi-rotor UAVs, however, have limited endurance. The range of UAV applications can be widened if teams of…

Robotics · Computer Science 2021-08-12 Xiaolong Zhu , Fernando Vanegas , Felipe Gonzalez , Conrad Sanderson

ViVa-SAFELAND is an open source software library, aimed to test and evaluate vision-based navigation strategies for aerial vehicles, with special interest in autonomous landing, while complying with legal regulations and people's safety. It…

Robotics · Computer Science 2025-03-20 Miguel S. Soriano-García , Diego A. Mercado-Ravell
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