Results 51 to 60 of about 1,295 (180)

Progress of AUV Intelligent Swarm Collaborative Task

水下无人系统学报, 2023
With developments in the intelligent swarm technology, the cooperation of autonomous undersea vehicle (AUV) swarms in performing underwater tasks has become an inevitable trend for the future development of such tasks. However, owing to the particularity
Qiao HU, Zhenyi ZHAO, Haobo FENG, Chuan JIANG   +3 more
doaj   +1 more source

DeepZoo: A cost‐effective and modular sampler for ecological studies in the deep ocean

Methods in Ecology and Evolution, EarlyView.
Abstract Understanding the structure and dynamics of deep‐ocean communities requires effective sampling of pelagic organisms in near‐bottom waters. These dispersive organisms contribute to biodiversity, connectivity and ecosystem recovery. Yet, current sampling methods remain constrained by size, cost, and depth, leaving key questions unanswered in ...
Johanna N. J. Weston, Casey Machado, Brian Kelly, Benjamin S. Weiss, Taylor P. Heyl, Daniel Lauretta, Lauren S. Mullineaux, Kirstin S. Meyer‐Kaiser   +7 more
wiley   +1 more source

A Method for Multi-AUV Cooperative Area Search in Unknown Environment Based on Reinforcement Learning

Journal of Marine Science and Engineering
As an emerging direction of multi-agent collaborative control technology, multiple autonomous underwater vehicle (multi-AUV) cooperative area search technology has played an important role in civilian fields such as marine resource exploration and ...
Yueming Li, Mingquan Ma, Jian Cao, Guobin Luo, Depeng Wang, Weiqiang Chen   +5 more
doaj   +1 more source

Study on the Optimal Design of a Shark-like Shape AUV Based on the CFD Method

Journal of Marine Science and Engineering, 2023
In previous AUV designs, the thrusters were often placed outside the vehicle, resulting in their performance being significantly influenced by the shape of the vehicle.
Yu Lu, Jianping Yuan, Qiaorui Si, Peifeng Ji, Ding Tian, Jinfeng Liu   +5 more
doaj   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

Journal of Field Robotics, Volume 43, Issue 6, Page 3617-3632, September 2026.
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, Alberto Topini, Alessandro Bucci, Alessandro Ridolfi   +3 more
wiley   +1 more source

Bionic Tactile Skins for Robotics: Fundamentals, Advances, and Future Prospects

SmartSys, Volume 2, Issue 3, September 2026.
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, Zitong Zhang, Xuhui Zhou, Yu Meng, Jie Ni, Junshan Liu, Faheng Zang, Xiaojun Guo, Zhuoqing Yang   +8 more
wiley   +1 more source

Toward an Improved Understanding of the Antarctic Coastal Zone and Its Contribution to Future Global Sea Level

Reviews of Geophysics, Volume 64, Issue 3, September 2026.
Abstract Understanding the coastal zone of the Antarctic Ice Sheet (AIS), where it interacts with the Southern Ocean and warmer air masses, is crucial for predicting Antarctica's influence on the global climate and sea level. This region has multiple tipping mechanisms that could trigger large, rapid, and potentially irreversible changes in the AIS ...
Kenichi Matsuoka, Geir Moholdt, Jennifer F. Arthur, Julien A. Bodart, Xiangbin Cui, Fausto Ferraccioli, René Forsberg, Vikram Goel, Tom A. Jordan, Felicity S. McCormack, Ruth Mottram, Hamish D. Pritchard, Calvin Shackleton, Kirsty J. Tinto, Fredrik Boberg, Marie G. P. Cavitte, Reinhard Drews, Pierre Dutrieux, Jörg Ebbing, Olaf Eisen, Hannes Eisermann, Alex S. Gardner, Chad A. Greene, Nicholas Holschuh, Stewart S. R. Jamieson, Byeong‐Hoon Kim, Naomi Krauzig, Bernd Kulessa, Carlton Leuschen, Jilu Li, Lu Li, Jonas Liebsch, Joseph A. MacGregor, Emma MacKie, Anirudha Mahagaonkar, Joséphine Maton, Mathieu Morlighem, Francisco Navarro, Peter D. Neff, Inès N. Otosaka, Frank Pattyn, Antonia Ruppel, Rebecca J. Sanderson, Hélène Seroussi, Andrew Shepherd, Matthew R. Siegfried, Thomas Slater, Arjen P. Stroeven, Michael Studinger, Thomas Teisberg, Ryan A. Venturelli, Jeremy P. Winberry, Chen Zhao, Lu An, Jonathan L. Bamber, Robin E. Bell, Robert G. Bingham, Johanna Brehmer‐Moltmann, Graeme Eagles, Jamin Greenbaum, Jorn Gronset, Won Sang Lee, Emmanuel Le Meur, Lenneke M. Jong, Katrin Lindbäck, Sven Lidström, Mareen Lösing, Masahiro Minowa, Mayuri Pandey, Yogesh Ray, Mirko Scheinert, Dustin M. Schroeder, Thorsten Seehaus, Kaian Shahateet, Daniel Steinhage, Xueyuan Tang, Drew Taylor, Hannah Verboncoeur, Junjun Yang, Duncan A. Young   +79 more
wiley   +1 more source

Deep blueprint: A literature review and guide to automated image classification for ecologists

Journal of Animal Ecology, Volume 95, Issue 9, Page 1558-1585, September 2026.
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, Nils Piechaud, Kerry L. Howell   +2 more
wiley   +1 more source

Distributed multi-AUV cooperation methods for underwater archaeology [PDF]

OCEANS 2015 - Genova, 2015
Autonomous Underwater Vehicles (AUVs) are a useful tool for science and industry. They significantly reduce the risk to humans in operations in hazardous and high cost situations. The use of multiple AUVs can enhance the operational capabilities by introducing specialisation of AUV capabilities and parallelising task execution.
Nikolaos Tsiogkas, Zeyn Saigol, David Lane   +2 more
openaire   +1 more source

Enabling Under Ice Glider Operations: A Backseat Driver Approach

Journal of Field Robotics, Volume 43, Issue 5, Page 3292-3311, August 2026.
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, Benjamin Allsup, Georgios Salavasidis, Stephen Woodward, Adeniyi Adenaya, Mike Smart, Alexis Johnson, Felipe Marques Dos Santos, Jake Ludgate, Daniel Matterson, Alvaro Lorenzo, J. Alexander Brearley, Alexander Brian Phillips   +12 more
wiley   +1 more source