Topic
Intervention AUV
About: Intervention AUV is a research topic. Over the lifetime, 980 publications have been published within this topic receiving 14130 citations.
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17 Oct 1993TL;DR: Underwater robotic vehicles have greater speed, endurance and depth capability as well as a higher factor of safety than human divers but have difficult control problems.
Abstract: Underwater robotic vehicles (URVs) have greater speed, endurance and depth capability as well as a higher factor of safety than human divers. However, URVs have difficult control problems. Dynamics and control problems of the vehicle are discussed and some advanced vehicle technologies are reviewed in this presentation. >
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TL;DR: In this article, the authors dealt with a classification of underwater remotely operated vehicles (UOVs) and described several Polish designs and really working vehicle systems. Fields of vehicles application are presented as well.
Abstract: The paper deals with a classification of underwater remotely operated vehicles Several Polish designs and really working vehicle systems are described Fields of vehicles application are presented as well.
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01 Nov 2012TL;DR: In this article, the authors show that the feasible application area and the necessity of the related technology in the maritime are discussed and show that micro autonomous underwater vehicles (MAVs) have the superiority in terms of size and cost.
Abstract: Because the micro autonomous underwater vehicle (MAUV) which is a kind of the AUV has the superiority in terms of size and cost, the development of the maritime application area as well as the elementary technology such as navigation, guidance and control is important. Study results show that the feasible application area and the necessity of the related technology in the maritime.
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19 Sep 2022TL;DR: Aqualung as discussed by the authors is a multi-task AUV that uses DC gear motors to drive the propeller, a pressure sensor is used to convert air pressure to calculate pressure underwater, advanced image processing technology is used that has increased the proper geo mapping process and identifying any particular object under water.
Abstract: The paper presents design and implementation of a multitasking autonomous underwater vehicle (AUV) named “Aqualung.” The motivation of this project is to construct the AUV which is going to be participated in the SAUVC-2022 competition. The conventional autonomous underwater vehicles are highly expensive (up to 10 thousand USD) and have complex mechanisms whereas the construction cost of the proposed AUV is under ${\$}$ 300 USD with a simple structure. DC gear motors are used in this vehicle to drive the propeller, a pressure sensor is used to convert air pressure to calculate pressure underwater, advanced image processing technology is used that has increased the proper geo mapping process and identifying any particular object under water. A grabber can be attached with its body to grab a particular thing for carrying an object. Use of lightweight materials in Aqualung AUV results in weight reduction and enables the device to consume less amount of energy. The proposed AUV exhibits excellent features which are presented in the result section.
01 Oct 2007
TL;DR: In this paper, a fuzzy controller is proposed to steer an AUV to a goal point in a nonlinear underwater environment, which effectively deals with the uncertainty and nonlinearity of the AUV actuating system.
Abstract: There is an increasing demand for autonomous underwater vehicles (AUVs) in applications such as sea bottom and pipeline survey, cable maintenance, off-shore structures' monitoring and maintenance, collect/release of biological surveys. To successfully complete these missions, AUVs must be equipped with systems to steer them accurately and reliably in harsh marine environment. However, the sensing devices are not fully reliable in the underwater environment and the vehicle actuating system, usually composed of thrusters, is highly nonlinear. This paper proposes a fuzzy controller which effectively deals with the above uncertainty and nonlinearity to steer an AUV to a goal point. Simulation results illustrate the performance of the controller proposed.