Studies of ROV concepts 2022-2023
The documents are classified chronologically from 2022 to 2023.
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Date of publication: 2022
Authors:
Xiong Wu, Du Jiang, Juntong Yun, Xin Liu, Ying Sun,
Bo Tao, Xiliang Tong, Manman Xu, Jianyi Kong, Ying
Liu, Guojun Zhao, & Zifan Fang.
Autonomous Underwater Vehicles are often subject to
many interferences, which cause poor control stability
while performing their tasks. In this paper, a
decoupling control algorithm is proposed, and a single
control volume/single attitude angle model is
constructed for the coupling in the control system of
the attitude of six degrees of freedom Autonomous
Underwater Vehicle… etc…
Authors:
Lin Zhao, Mingxi Zhou, Brice Loose, Virginia Cousens,
Raymond Turrisi
An affordable Remotely Operated Vehicle (ROV) has
been modified for under-ice sensing. This paper
presents the system upgrade, including sensor
integration, electronics, and navigation stack. The new
ROV is equipped with a Doppler Velocity Log (DVL),
an attitude heading reference system (AHRS) for
navigation, a stereo camera, and a forward-looking
imaging sonar for perception.
Authors: Zuhayr Rymansaib, Benjamin Thomas, Alfred
Anthony Treloar, Benjamin Metcalfe, Peter
Wilson, Alan Hunter.
Underwater crime scene investigation and emergency
response are tasks typically carried out by divers
constituting part of a specialist team. Operating in
such dynamic environments, often with poor visibility
and risk of concealed hazards, can be time-consuming
and dangerous. Autonomous uncrewed vessels with
underwater acoustic imaging sensors have been used
for similar purposes in other fields (e.g., hydrography,
naval mine countermeasures, etc.). Still, they have not
been adopted in this specific application domain.
Authors: Ioannis Polymenis, Maryam Haroutunian,
Rose Norman, & David Trodden
There have been recent breakthroughs in Artifcial
Intelligence (AI) and, notably, Deep Learning (DL)
models and applications. These have widespread
usage in various fields, including unmanned aerial
vehicles and autonomous vehicles, car navigation, and
other applications. However, they are not as prevalent
in underwater applications due to the difficulty of
obtaining underwater datasets for a specific
application. In this sense, the current study utilizes
recent advancements in DL to construct a bespoke
dataset generated from photographs of items
captured in a laboratory environment.
Authors: Tingjun Lei, Guoming Li, Chaomin Luo, Li
Zhang, Lantao Liu, & Richard Stephen Gates
Many real-world robot applications in precision
agriculture, poultry farms, disaster response, and
environment monitoring require search, locate, and
removal (SLR) operations by autonomous mobile
robots. In such application settings, the robots initially
search and explore the entire workspace to find the
targets so that the subsequent robots conveniently
move directly to the targets to fulfill the task. A multi-
layer robot navigation system is necessary for SLR
operations. The scenario of interest is the removal of
broiler mortality by autonomous robots in poultry
barns in this paper.
Authors: Zhenjing Zhu, Ning Hu, Junyi Wu, Wenxin Li,
Jiabao Zhao, Maofa Wang, Fanzong Zeng,
Huajie Dai, and Yongju Zheng.
Researchers use underwater acoustic equipment to
explore the unknown ocean environment, which is
one of the important means to understand and utilize
the ocean. For underwater acoustic equipment, the
application of underwater acoustic metamaterials is
the premise to ensure and improve the performance
of underwater acoustic communication, acoustic
stealth, and sonar detection.
Authors: Le Yu, Han Sun, Shangwei Su, Huixuan Tang,
Hao Sun, and Xiaoyu Zhang
Based on the analysis of the development status of
underwater wireless power transmission technology,
this paper puts forward the challenges of underwater
wireless power transmission, and summarizes the
electromagnetic coupler structure, underwater
docking mode, compensation topology, control
method, and eddy current loss. The present research
hotspots in the field of underwater wireless power
transmission are summarized and analyzed. Finally,
according to the development trend of technology,
the urgent technical problems in underwater wireless
power transmission are expounded.
Authors: Jiafeng Huang, Hyeung-Sik Choi, Dong-
Wook Jung, Ki-Beom Choo, Hyunjoon Cho,
Phan Huy Nam Anh, Ruochen Zhang, Joon-
Young Kim, Daehyeong Ji, Jung-Hyeun Park
The “twin hybrid autonomous underwater vehicle” is a
novel unmanned underwater platform consisting of a
twin torpedo-shaped hull actuated by two buoyancy
engines and two thrusters. It was designed to have
faster speed generated by the two buoyancy engines
and two thrusters. The two buoyancy engines on
each hull and the airfoil are mainly responsible for the
diving and surfacing motion, and the thrusters drive it
along the horizontal plane. It can carry more
instrumentation and energy than a conventional
hybrid autonomous underwater vehicle and perform
more exploration tasks for extended periods.
Authors: Gaofei Xu, Daoxian Zhou, Libiao Yuan, Wei
Guo, Zepeng Huang, and Yinlong Zhang
Autonomous underwater vehicles (AUVs) equipped
with online visual inspection systems can detect
underwater targets during underwater operations,
which is of great significance to subsea exploration.
However, the undersea scene has some instinctive
challenging problems, such as poor lighting
conditions, sediment burial, and marine biofouling
mimicry, which makes it difficult for traditional target
detection algorithms to achieve online, reliable, and
accurate detection of underwater targets.
Authors:
Uday Chandrakant Patkar, Megha Patil, Aditya
Chandhoke, Abhijeet Jain, Muskan Kumari, Namokar
Jain, Shikha Bhardwaj, Uday Shankar Patil
The authors present a solution of an underwater ROV
(Remotely operated Vehicle) in which theyl fit the
camera to detect the human body in optimal time. For
underwater operations, computer vision is one of the
most important technologies. For an Underwater
environment, weak lighting, and dissolved particles are
tough for a pre-processing procedure, which is
necessary for underwater vision.
Authors:
Yeming Zhang, Demin Kong, Yan Shi, Maolin Cai,
Qihui Yu, Shuping Li, Kai Wang, & Chuangchuang Liu
The main focus of this paper is to classify different types
of underwater organisms according to their common
motion modes, focusing on the achievements of some
bionic mechanisms in different functional fields that
have imitated various motion modes underwater in
recent years (e.g., the underwater sucking glove, the
underwater Gripper, and the self-powered soft robot).
The development of various task types (e.g., grasping,
adhesive, driving or swimming, and sensing functions)
and mechanism realization forms of the underwater
soft robot are described based on this article.