Autonomous Underwater Vehicles - achievements and current trends

Damian, Radu-Florin

doi:10.21279/1454-864x-18-i1-012

Cited by 3 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[1][2][3][4][5][6][7] In particular, autonomous underwater vehicles (AUVs) are already operating in underwater inspections, repairs maintenance missions, marine biology, marine structures, oil, gas, and fishing industries, renewable energy, and many scientific operations. 8,9 AUVs have been involved in recognition tasks and applications, 10,11 while performing classification algorithms. Underwater surveillance is also mentioned in various cases, 12,13 along with military use cases such as sea patrolling and monitoring.…”

Section: Introductionmentioning

confidence: 99%

Autonomous underwater vehicle challenge: design and construction of a medium-sized, AI-enabled low-cost prototype

Paraschos

Papadakis

2021

Journal of Defense Modeling & Simulation

View full text Add to dashboard Cite

The design of an autonomous underwater vehicle (AUV) with physical dimensions of 1100 mm × 700 mm × 330 mm, and weight of 55 kg, is introduced herein. This paper describes the design, materials, hydrodynamics, and system architecture of an AUV prototype named Synoris, developed as a low-cost and medium-scale testbed platform. Synoris moves via six brushless motors, can reach up to 200 m depth, has an autonomy estimated around 6 hours and a modular design for multiple payload options. Stability control, autonomous movement, obstacle avoidance temperature/pressure sensing, and video/image capturing are simultaneously performed by exploiting a set of onboard computers that are described briefly in Section 4. The whole platform is built on top of the open source software called ROS (robotic operating system) that provides a flexible framework for writing robot software by providing services such as low-level device control, message parsing, data fusion, and system integration. Synoris is ideal for underwater applications and missions, involving machine learning and computer vision features. AUV development in general meets high-cost solutions due to the complexity and harshness of the operational environment. Even the most cost-effective solutions demand plentiful resources. This paper describes the entire process of development and how a relatively low-cost approach can provide a reliable AUV for many underwater applications, involving AI and machine-learning capabilities.

show abstract

Section: Introductionmentioning

confidence: 99%

Autonomous underwater vehicle challenge: design and construction of a medium-sized, AI-enabled low-cost prototype

Paraschos

Papadakis

2021

Journal of Defense Modeling & Simulation

View full text Add to dashboard Cite

show abstract

“…Factors affecting AUV include underwater visibility, gravity and buoyancy, stability, hydrodynamic damping, hydrostatic pressure and environmental forces. [2] We can reduce drag by designing the shape of the AUV.…”

mentioning

confidence: 99%

Head optimization design for small commercial AUV based on CFD

Tang

2022

Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022)

View full text Add to dashboard Cite

As more and more attention is paid to the ocean in today's world, autonomous underwater vehicle (AUV) is widely used. At present, a variety of AUVs has been put into commercial use. For AUV, its underwater resistance is very important to its performance of AUV, and the geometry of AUV is the key factor affecting the underwater resistance. Considering the difficulty and cost of production, most commercial AUVs adopt a torpedo rotary design. In this paper, for the commercial small AUV, we make an optimal design of its head by a parabola. Compared with the popular commercial AUV product, REMUS100, the underwater resistance of AUV design is analyzed by ANSYS Fluent calculation. We also analyze the head stress of AUV by ANSYS Mechanical. The head optimization design of AUV based on the parabola is obtained, which provides a reference for the design of small commercial AUVs in the future. Keywords：Autonomous Underwater Vehicle (AUV)，Computational Fluid Dynamics (CFD)，Turbulence Model 1.IntroductionWith the continuous innovation of various technologies, autonomous underwater vehicle (AUV) has been greatly developed. This technology has been paid more and more attention by Marine technology departments in developed countries.From 2010 to now, the current stage is the commercial implementation of AUV collaborative motion technology [1]. The cost of AUV directly affects the success of its commercialization. Factors affecting AUV include underwater visibility, gravity and buoyancy, stability, hydrodynamic damping, hydrostatic pressure and environmental forces. [2] We can reduce drag by designing the shape of the AUV.

show abstract

Passive Positioning of Autonomous Underwater Vehicles

Guevara

2023

Communications in Computer and Information Science

View full text Add to dashboard Cite

Autonomous Underwater Vehicles - achievements and current trends

Cited by 3 publications

References 0 publications

Autonomous underwater vehicle challenge: design and construction of a medium-sized, AI-enabled low-cost prototype

Autonomous underwater vehicle challenge: design and construction of a medium-sized, AI-enabled low-cost prototype

Head optimization design for small commercial AUV based on CFD

Passive Positioning of Autonomous Underwater Vehicles

Contact Info

Product

Resources

About