Results 61 to 70 of about 1,528,944 (211)
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 +7 more
wiley +1 more source
A novel approach for in situ benthic habitat characterization
Limnology and Oceanography: Methods, Volume 24, Issue 9, September 2026.Abstract Habitat heterogeneity is a key driver of temporal and spatial variability of subtidal marine benthic biodiversity. However, this makes it a challenging environment in which to measure and quantify the factors driving biodiversity in a consistent manner.
Ryan J. W. Mathews +4 more
wiley +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 +3 more
wiley +1 more source
On Mixed-Initative Planning and Control for Autonomous Underwater Vehicles [PDF]
Supervision and control of Autonomous underwater vehicles (AUVs) has traditionally been focused on an operator determining a priori the sequence of waypoints of a single vehicle for a mission.
Chrpa, Lukáš +5 more
core +3 more sources
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 +8 more
wiley +1 more source
The use of computational fluid dynamics to assess the hull resistance of concept autonomous underwater vehicles [PDF]
, 2007 Autonomous Underwater Vehicles (AUV’s) provide an important tool for collecting detailed scientific information from the oceans depths. The hull resistance of an AUV is an important factor in determining the powering requirements and range of the vehicle.
Phillips, Alexander B. +6 more
core +1 more source
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 +79 more
wiley +1 more source
Challenges of using an AUV to find and map hydrothermal vent sites in deep and rugged terrains [PDF]
, 2010 In March 2010, the Autosub6000 AUV embarked on a cruise to discover, locate and map hydrothermal vent sites in an active spreading centre, the Cayman trough in the Caribbean sea. The environment provided the challenge of steep and rugged terrain together
Pebody, M. +5 more
core +2 more sources
Design and analysis of fully-actuated AUV's three-dimensional path tracking control system
Zhongguo Jianchuan Yanjiu, 2019 [Objectives] In order to meet the requirements of underwater search and rescue,recovery and submarine geomorphology imaging of fully-actuated Autonomous Underwater Vehicle (AUV), the application method of its three-dimensional path tracking control is ...
Yao Jinyi +4 more
doaj +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 +2 more
wiley +1 more source