Results 51 to 60 of about 1,562 (175)
Omnidirectional Motion Trajectory Tracking Control Method for AUVs
The precise trajectory tracking capability of autonomous undersea vehicles(AUVs) is crucial for completing underwater tasks such as exploration, obstacle avoidance, and pipeline inspection.
Jiangpeng XU, Junlei WANG, Yi TANG
doaj +1 more source
Deep blueprint: A literature review and guide to automated image classification for ecologists
A practical, literature‐grounded review that gives ecologists a clear, modular workflow for deep learning image classification. With code, GUIs and a novel deep sea case study (automated deep sea biotope classification) it lowers technical barriers and provides a usable blueprint for accelerating, standardising, and scaling ecological image analysis ...
Chloe A. Game +2 more
wiley +1 more source
Autonomous Underwater Vehicles (AUVs) play a central role in marine observation, inspection, and monitoring missions, where effective trajectory planning is essential for ensuring safe operation, reliable sensing, and efficient data transfer.
Talal S. Almuzaini, Andrey V. Savkin
doaj +1 more source
Abstract Methods using environmental nucleic acids have become highly effective for monitoring aquatic biodiversity, with an array of suitable use cases, including metrics for fisheries assessment. Traditional methods for assessing fish populations often rely on invasive techniques with limited spatial and temporal coverage.
Ana Ramón‐Laca +6 more
wiley +1 more source
Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi +3 more
wiley +1 more source
The aim of the Smart and Networking Underwater Robots in Cooperation Meshes (SWARMs) project is to make autonomous underwater vehicles (AUVs), remote operated vehicles (ROVs) and unmanned surface vehicles (USVs) more accessible and useful.
Ning Li +5 more
doaj +1 more source
Bionic Tactile Skins for Robotics: Fundamentals, Advances, and Future Prospects
ABSTRACT Robotic bionic tactile skins (RBTSs), as crucial components of next‐generation robotic systems, have attracted significant attention in recent years. By enabling robots to achieve human‐like tactile perception and interact effectively with their surroundings, RBTSs play an essential role in enhancing robotic intelligence.
Jiajun Wu +8 more
wiley +1 more source
Review on underwater docking technology of AUV
Autonomous Underwater Vehicles(AUV)form an important link between water surface support platforms,submarine stations and deep sea long-term observation systems. The underwater docking technology of AUVs has long been a research hotspot at home and abroad.
ZHENG Rong +3 more
doaj +1 more source
Enabling Under Ice Glider Operations: A Backseat Driver Approach
ABSTRACT Polar Oceans are key locations for forcing global ocean circulation, influencing both global climate and biogeochemical cycles. Due to restricted access to these seasonally and perennially ice‐covered regions, these areas are severely undersampled.
Yaomei Wang +12 more
wiley +1 more source
The growing dependence on deep-sea marine cables for telecommunications, power transmission, and scientific research has highlighted the importance of efficient inspection and maintenance strategies.
Luo Wenbo, Zhang Qingwen, Lin Bin
doaj +1 more source

