Results 41 to 50 of about 1,912 (136)

Scalable low‐cost seabed landers: the missing link for sustained, integrated, long‐term observations in dynamic shallow seas

Remote Sensing in Ecology and Conservation, EarlyView.
Seabed landers, when equipped with a range of biotic and abiotic sensors, offer a non‐invasive and cost‐effective solution for ecosystem‐scale monitoring of Essential Biodiversity Variables (EBVs) and Essential Ocean Variables (EOVs) in dynamic shallow seas.
Arienne Calonge, Roeland Develter, Carlota Muñiz, Clea Parcerisas, Jan Reubens, Wieter Boone, Klaas Deneudt, Elisabeth Debusschere   +7 more
wiley   +1 more source

On-Device Intelligence for AI-Enabled Bio-Inspired Autonomous Underwater Vehicles (AUVs)

IEEE Access
This paper introduces an innovative approach to underwater exploration by integrating Artificial Intelligence (AI) into Autonomous Underwater Vehicles (AUVs). This collaboration between AI and biomimicry marks a new era for AUVs, enabling them to emulate
Aryan Anand, M Yuva Bharath, Prabha Sundaravadivel, J. Preetha Roselyn, R. Annie Uthra   +4 more
doaj   +1 more source

Consensus Control of Multiple AUVs Recovery System Under Switching Topologies and Time Delays

IEEE Access, 2019
The consensus control of multiple AUVs recovery system is the key to complete the multi-AUV recovery mission. This paper proposes consensus control of multiple AUVs recovery system under switching communication topologies and time delays including input ...
Wei Zhang, Jia Zeng, Zheping Yan, Shilin Wei, Jun Zhang, Zewen Yang   +5 more
doaj   +1 more source

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

Journal of Animal Ecology, EarlyView.
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

Hierarchical Adaptive Fixed-Time Formation Control for Multiple Underactuated Autonomous Underwater Vehicles Under Uncertain Disturbances and Input Saturation

Journal of Marine Science and Engineering
Recent advances in multiple autonomous underwater vehicles (AUVs) have highlighted formation control as a critical challenge for underwater collaborative operations.
Jiacheng Chang, Lanyong Zhang, Yifan Tan, Xue Fu, Hongjun Yu   +4 more
doaj   +1 more source

Robust Formation Control for Multiple Underwater Vehicles

Frontiers in Robotics and AI, 2019
This paper addresses the distance-based formation control problem for multiple Autonomous Underwater Vehicles (AUVs) in a leader-follower architecture. The leading AUV is assigned a task to track a desired trajectory and the following AUVs try to set up ...
Charalampos P. Bechlioulis, Fotis Giagkas, George C. Karras, George C. Karras, Kostas J. Kyriakopoulos   +4 more
doaj   +1 more source

Prospects of multipurpose biomonitoring for fisheries assessment based on environmental nucleic acids

Journal of Fish Biology, EarlyView.
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, Krista M. Nichols, Kim M. Parsons, Ramón Gallego, David R. Vieites, Ignacio Doadrio, Ana Riesgo   +6 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

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

Thruster fault diagnosis method based on Gaussian particle filter for autonomous underwater vehicles

International Journal of Naval Architecture and Ocean Engineering, 2016
Autonomous Underwater Vehicles (AUVs) generally work in complex marine environments. Any fault in AUVs may cause significant losses. Thus, system reliability and automatic fault diagnosis are important.
Yu-shan Sun, Xiang-rui Ran, Yue-ming Li, Guo-cheng Zhang, Ying-hao Zhang   +4 more
doaj   +1 more source