← (Macro-trends)

Subsea, AUVs & ocean survey

Every item tagged with this theme, most relevant first.

↓ (96 items)

Mentions per week

Items tagged with this theme

Items

Titles open the original ↗
01Offshore Energy2026-10-20

OceanAlpha L42B marine survey uncrewed surface vessel (USV) receives Bureau Veritas Approval in Principle (AiP) certificate (opens in a new tab)

The OceanAlpha L42B, an uncrewed marine survey surface vessel (USV), received an Approval in Principle (AiP) certificate from Bureau Veritas. This certification acknowledges the vessel's compliance with preliminary design and safety standards. The L42B is designed for marine survey applications. The approval marks a step toward its operational deployment.

02DongA Science2026-10-19

KIGAM validates unmanned surface vessel system for coastal seabed exploration (opens in a new tab)

The Korea Institute of Geoscience and Mineral Resources (KIGAM) successfully validated an unmanned surface vessel system for coastal seabed exploration. The system is designed to enhance efficiency and safety in underwater surveys. This development marks a step forward in automated marine research technology. No specific technical details or results were provided in the report.

03Le marin2026-10-07

French firm Forssea Robotics confirms trials of its underwater drone from a British autonomous vessel (opens in a new tab)

Forssea Robotics, a French company, conducted trials of its underwater drone launched from a British autonomous vessel. The tests mark a collaboration between French and British maritime technology. The initiative aims to advance underwater robotic operations. No further technical or operational details were provided in the report.

04Smart Maritime Network2026-11-06

Autonomous satellite scheduling tested for vessel tracking (opens in a new tab)

Ubotica tested an AI-powered system on its CogniSAT-6 satellite that autonomously identifies vessels in imagery and schedules follow-up observations without ground station input. The satellite detected a cruise ship in the Pacific, tracked its movement over two days, and confirmed its departure—all independently. This "Autonomous Scheduling" technology could enhance maritime surveillance, particularly for vessels without AIS signals or potential threats to offshore infrastructure. It may also enable coordinated satellite operations, where one satellite cues another for follow-up observations.

05openalex2026-05-20Hafez Ahmad, Padmanava DashDOI ↗ (opens in a new tab)

Resolving spatiotemporal water quality variability in a river-influenced estuarine system using high-frequency autonomous surface vessel observations (opens in a new tab)

This study analyzed multi-year (2021–2024) high-frequency water quality data from the Western Mississippi Sound using an autonomous surface vessel. Ten parameters, including chlorophyll-a, temperature, and salinity, showed significant seasonal and interannual variability, with summer peaks in temperature and algal indicators. Principal Component Analysis revealed dominant freshwater-marine mixing patterns and carbon-oxygen dynamics, while discharge-water quality relationships varied by flow conditions. Spatial analysis identified critical degradation in one transect due to eutrophication, highlighting the need for targeted coastal management.

06openalex2026-08-07Arthur C. TrembanisDOI ↗ (opens in a new tab)

Autonomous Exploration and Digital Documentation of Great Lakes Shipwrecks: A Multi-Platform Survey Framework for Maritime Heritage (opens in a new tab)

This study introduces a multi-platform autonomous survey framework for documenting Great Lakes shipwrecks, tested in Lake Michigan and Lake Ontario (2021–2022). The approach combines AUVs, ASVs, sonar, magnetometry, and optical imaging in a structured workflow to cover large areas efficiently. Surveys generated 19.72 km² of geophysical data, including sonar mosaics and magnetic maps, leading to the discovery of a previously unknown wooden shipwreck in Lake Ontario. The method improves efficiency, adaptability, and scalability for preserving submerged cultural heritage.

07openalex2026-05-26Josep Marin Garces, Andrea Pino Jarque, Salvador López Barajas, Guillem Fustier Castillo +6 moreDOI ↗ (opens in a new tab)

Experimental Deployment and Recovery of an Underwater Robot from an Autonomous Surface Catamaran Using an Integrated LARS and Immersive Augmented Reality Teleoperation Interface (opens in a new tab)

This study demonstrates a field test at Spain’s Port of Castellón, where a catamaran surface robot with an integrated Launch and Recovery System (LARS) deployed and retrieved a BlueROV underwater vehicle. The trial covered navigation, remote supervision, underwater operations, and recovery using an immersive augmented reality teleoperation interface. Conducted by CIRTESU and IRSLab, the experiment highlights advancements in cooperative surface–underwater robotics and autonomous maritime technologies. The work supports research on robotic inspection and intervention in port and marine environments.

08영남신문2026-10-22

From AI autonomous ships to underwater robots: Future maritime technology showcased inland (opens in a new tab)

A 2026 event showcased future maritime technologies, including AI-powered autonomous ships and underwater robots. The exhibition took place inland, highlighting advancements in unmanned and robotic systems for marine applications. These innovations aim to improve efficiency and safety in maritime operations. The event was reported by *Yeongnam Ilbo*.

09헤럴드경제2026-10-21

Korea Ship and Ocean Engineering Research Institute unveils future maritime technologies, from AI autonomous vessels to underwater robots (opens in a new tab)

The Korea Ship and Ocean Engineering Research Institute presented advanced maritime technologies, including AI-powered autonomous vessels and underwater robots. The showcase highlighted future developments in ocean engineering. No specific technical details or outcomes were disclosed. The announcement was reported by 헤럴드경제 on October 21, 2026.

10세종경제뉴스2026-10-21

From AI autonomous ships to underwater robots: Future maritime technology showcased inland (opens in a new tab)

A 2026 event showcased future maritime technologies, including AI-powered autonomous ships and underwater robots. The exhibition took place inland, highlighting advancements in unmanned and robotic systems for marine applications. These innovations aim to improve efficiency and safety in maritime operations. The event demonstrated emerging trends in the industry.

11Seoul Economic Daily2026-10-19

Unmanned Vessel Maps Seabed Geology 200 Meters Deep off Pohang (opens in a new tab)

An unmanned vessel successfully mapped seabed geology at depths of up to 200 meters off the coast of Pohang. The project aimed to survey underwater terrain and geological features in the area. This effort marks a step in utilizing autonomous technology for deep-sea exploration. No further details on findings or methods were provided.

12UK Defence Journal2026-10-05

Uncrewed vessel completes remote subsea ROV trials (opens in a new tab)

A UK uncrewed vessel successfully completed remote trials using a subsea remotely operated vehicle (ROV). The tests demonstrated the capability to conduct underwater operations without a crewed presence. This development marks progress in autonomous maritime technology for defense applications. The trials were reported by the UK Defence Journal.

13CPG Click Petróleo e Gás2026-05-22

Chinese autonomous ship V180 measures 24 meters, operates without a crew on the high seas, and launches and recovers ROVs by itself with an operational capacity of up to 3,000 meters deep and autonomy of up to 30 days on missions with no humans on (opens in a new tab)

The Chinese autonomous ship V180 is 24 meters long and operates without a crew in open waters. It can independently launch and recover ROVs, with a depth capability of up to 3,000 meters. The vessel can perform missions for up to 30 days without human intervention.

14해양레저신문2026-10-22

From autonomous ships to underwater robots: Introducing youth to maritime technology research (opens in a new tab)

A 2026 event introduced youth to maritime technology research, focusing on autonomous ships and underwater robots. Organized by 해양레저신문, it aimed to showcase advancements in the field. The initiative highlighted real-world applications of maritime innovations. No specific outcomes or participant numbers were detailed.

15openalex2026-05-15Satoshi KawauchiDOI ↗ (opens in a new tab)

Part 1: Seawater Sheet-Type Fluid-Synchronized Hull System Integrated Study on the Seawater Sheet-Type Fluid-Synchronized Hull System — A De-Rigid, De-Metalized, Environmentally Synchronized Vessel Structure Model Through Substitution, Inversion, Parallelization, Staging, and Analogy — Part 2: Deep-Sea Environment Symbiotic Autonomous Distributed System Integrated Study on the Deep-Sea Environment Symbiotic Autonomous Distributed System — A Deep-Sea Infrastructure Formation Model Through AI Control Centers, Pressure-Utilization Structures, Biomimetics, and Minimal Environmental-Impact Resource Acquisition — Part 3: Integrated Study on Hybrid Underwater Elevator Structures with Fluid-Synchronized Seawater Sheet Exterior — A Large-Scale Underwater Infrastructure Model Through Rigid Structures, Flexible Exteriors, Seawater Sheet Elevators, Sea Surface Station-Type Ports, and ASI Integrated Control — Complete Three-Part Structure (opens in a new tab)

This three-part study outlines a deep-sea city design using seawater-based technologies. It introduces flexible, non-metal hulls synchronized with ocean fluid dynamics, autonomous systems for deep-sea exploration and low-impact resource collection, and hybrid underwater elevators with seawater sheet exteriors. The model incorporates AI control, biomimicry, and pressure-adaptive structures to create sustainable underwater infrastructure. The goal is to enable habitation, research, and mobility by harmonizing with deep-sea environments.

16crossref2026-04-08Elizabeth A. Suter, Christine Santora, Elizabeth T. Sciorilli, Natalia Benejam +10 moreDOI ↗ (opens in a new tab)

First Autonomous eDNA Survey Using a Self- Righting, Solar-Powered Surface Vehicle in an Estuarine Hope Spot (opens in a new tab)

This study deployed a solar-powered, self-righting surface vehicle equipped with an autonomous eDNA sampler in Shinnecock Bay, New York, a designated conservation area. Over eight days, the system collected 98 usable samples, revealing biodiversity patterns, including 15 priority conservation taxa and 8 invasive species, with higher occupancy in the less degraded eastern bay. Eelgrass beds were identified as key biodiversity hotspots, while nighttime sampling detected nocturnal species like anchovies and shortfin mako sharks. The approach supports scalable, emissions-free coastal monitoring aligned with global sustainability goals.

17YouTube on MSN2026-10-25

Inside Armada: Ocean Infinity’s autonomous ships exploring the ocean’s uncharted depths (opens in a new tab)

The Armada project by Ocean Infinity deploys a fleet of autonomous ships for deep-sea exploration and ocean floor mapping. These advanced vessels use smart technology to navigate and collect data from uncharted depths. The initiative aims to improve understanding of the ocean while reducing human risk in hazardous environments. The project represents a significant step in modern maritime innovation.

18crossref2026-03-30Jianan Luo, Zhichen Liu, Haifeng Tang, Chenchen Jiao +2 moreDOI ↗ (opens in a new tab)

A High-Density Bathymetric Data Model and System Construction Approach Integrated with S-100 for Unmanned Surface Vessel Intelligent Navigation (opens in a new tab)

The study introduces a new method for modeling and managing high-density bathymetric data using the S-100 framework, specifically the IHO S-102 standard. It employs a relational database and a three-level indexing system to organize and retrieve data efficiently throughout its lifecycle. The approach includes convex hull-based geometric constraints for interpolating water depth data and an HDF5-based storage model with block storage and version control, reducing storage space by 83.6%. Field tests in the East China Sea confirmed the generated S-102 data met international standards and achieved high terrain restoration accuracy.

19crossref2026-09-11Marios Xanthidis, Kostas Alexis, Eleni KelasidiDOI ↗ (opens in a new tab)

Autonomous navigation and active perception with complex articulated AUVs (opens in a new tab)

This paper introduces a new motion planning framework for complex articulated autonomous underwater vehicles (AUVs) to enable safe navigation and active perception in dynamic, uncertain environments. The method adapts an existing pipeline for holonomic AUVs to handle high-dimensional, articulated systems with unknown dynamics and multiple sensors. Simulations using an underwater snake robot and an underwater vehicle-manipulator system demonstrate real-time, efficient, and safe performance. The study also highlights computational challenges and potential improvements.

20openalex2026-08-27Mehdi El Krari, Jonathan Smith, Maria FoxDOI ↗ (opens in a new tab)

Marine Autonomous Vehicle Fleet Scheduling to Maximise Scientific Impact (opens in a new tab)

This paper introduces a mixed-integer linear programming (MILP) model to automate and optimize the scheduling of Marine Autonomous Vehicle (MAV) fleets for scientific data collection. The model considers operational constraints like battery life and data collection time windows while maximizing data yield and minimizing vehicle use and energy consumption. It integrates with ship itineraries for mid-mission battery swaps or faster transit and scales efficiently, solving problems for hundreds of MAVs in minutes. The framework also supports scenario analysis and provides visualizations to aid decision-making.

21Future Transport-News2026-07-17

Autonomous Maritime Technology to Support Greenland Climate Research Mission (opens in a new tab)

Autonomous maritime technology will assist a climate research mission in Greenland in 2026. The mission aims to study climate impacts in the region using uncrewed vessels and drones. These technologies will gather data in remote and hazardous Arctic conditions. The project highlights advancements in autonomous systems for environmental research.

22crossref2026-06-24Eric C. J. Oliver, Clark RichardsDOI ↗ (opens in a new tab)

The Labrador Coastal Current: Observations from Surface Drifters and Autonomous Gliders (opens in a new tab)

This study examines the Labrador Coastal Current (LCC) using data from surface drifters (Global Drifter Program and CONOC project) and autonomous gliders. The LCC, near the Labrador coast, has moderate speeds up to 0.25 m/s, while the main Labrador Current (MLC) over the shelf break reaches 0.5 m/s. Surface velocities in the LCC are mostly barotropic (70%), whereas the MLC is mainly baroclinic (70%). Despite lower volume transport, the LCC’s freshwater transport is comparable to the MLC.

23crossref2026-05-07S.H. Ahmed, L.P. Perera, M. AdnanDOI ↗ (opens in a new tab)

Mission planning framework for autonomous marine vehicles in seabed surveys (opens in a new tab)

This paper presents a mission-planning framework for autonomous marine vehicles conducting seabed surveys, focusing on safety, COLREG compliance, and operator transparency. It introduces a layered architecture for an onshore-supervised surface vessel that generates coverage plans from operator-defined polygons and produces structured reports for underwater vehicle inspections. The system includes a behavior-tree executive, a reinforcement-learning advisor for optimized survey edits, and a risk assessment layer for collision avoidance. The framework is validated through ongoing development of a surface vessel and remote operation center, using repeatable logs and status reporting.

24openalex2026-09-30Aleksandr Konoplin, Alexander Yurmanov, D.V. KopylovDOI ↗ (opens in a new tab)

Method for generating program control signals for the positioning of a vessel supporting auv operations (opens in a new tab)

This paper presents a method using model predictive control to maintain stable hydroacoustic communication between an AUV and a support vessel or USV. The approach optimizes vessel positioning by predicting AUV trajectories, vessel dynamics, and hydroacoustic channel conditions to maximize signal-to-noise ratio (SNR). Simulations showed the method prevented communication loss and reduced unnecessary vessel movements compared to alternatives. The technique was validated as effective for reliable AUV operations in open sea conditions.

25DVIDS2026-08-04

Sailing into the Future: The U.S. Navy and Oshen Forge a New Path in Autonomous Ocean Mapping (opens in a new tab)

The U.S. Navy and Oshen are collaborating to advance autonomous ocean mapping technology. This partnership aims to improve underwater data collection using uncrewed systems. The initiative seeks to enhance naval operations and maritime domain awareness. The effort reflects a shift toward innovative, automated solutions for ocean exploration.

26note2026-11-04

Why Underwater Drones Are Hard to Connect: Communication and Common Standards That Shape the Future of Unmanned Maritime Operations (opens in a new tab)

Underwater drones face communication challenges due to seawater's attenuation of radio waves, making high-speed wireless communication difficult. Acoustic communication, using sound, is better for long distances but has latency and limited data capacity, while optical communication excels in short-range, high-data transfers but is affected by water clarity. Common standards like NATO’s JANUS aim to improve interoperability, but coordination requires aligning signal rules, data interpretation, and operational authority. Effective underwater operations depend on combining communication methods, edge processing, and clear protocols for autonomy and reconnection.

27Hydro International2026-10-20

Former Italian Navy commander launches maritime autonomy integrator (opens in a new tab)

Sentiq Defence, founded by retired Italian Navy commander Antonio J. Belfiore, has launched as an integrator of autonomous and remotely operated maritime systems for defense, security, and blue economy sectors. The company offers uncrewed surface vessels (USVs), underwater surveillance sonars, ROVs, and aerial drones, aiming to simplify integration and provide turnkey solutions with training and support. Based in Italy, Sentiq focuses on addressing fragmented markets by tailoring commercial-off-the-shelf (COTS) systems to customer needs under the principle "command your space." Its growth plan includes expanding partnerships, building a local integration hub, and enhancing training and support services.

28crossref2026-09-08Bhupen Pervaiz Bheem, Khatiba Noor, Zeeshan Riaz, Junaid Ahmed Khan +3 moreDOI ↗ (opens in a new tab)

Design and Development of an Uncrewed Surface Vessel (USV) for Hydrographic Survey (opens in a new tab)

This paper details the design of an autonomous Uncrewed Surface Vessel (USV) for hydrographic surveys in shallow or hazardous waters. The USV features a catamaran hull, Brushless DC motors, and Lithium Polymer batteries for improved endurance and real-time data transmission. Computational Fluid Dynamics (CFD) simulations using OpenFOAM and static stability analysis with Paramarine software validated its hydrodynamic performance. A prototype was built and tested, confirming its stability, maneuverability, and suitability for marine research and commercial use.

29openalex2026-07-31Amit RayDOI ↗ (opens in a new tab)

Deployment, Manipulators, and Actuators (opens in a new tab)

The paper discusses the importance of Launch and Recovery Systems (LARS) for Unmanned Underwater Vehicles (UUVs), highlighting their role in mission operability and safety. It explores fixed, modular, and mobile LARS solutions, including autonomous docking systems for AUVs. The text also covers manipulator systems used in underwater intervention tasks, primarily by ROVs and AUVs. Emerging technologies like soft actuators and bio-inspired underwater robot designs are noted as areas of growing interest.

30Trade Brains2026-07-22

Apollo Micro Systems Wins Indian Navy Prototype Order for Autonomous Anti-Submarine Warfare Platform (opens in a new tab)

Apollo Micro Systems secured a prototype order from the Indian Navy for an autonomous anti-submarine warfare platform. The contract marks a step toward developing unmanned systems for naval defense. No details on the platform’s specifications or timeline were disclosed. The project aims to enhance India’s underwater surveillance and combat capabilities.

31openalex2026-07-08Andrew Philip Single

Development of a Real-Time Acoustic Detection and Tracking System for a Compact Autonomous Underwater Vehicle (opens in a new tab)

This study advances a real-time acoustic system for autonomous underwater vehicles (AUVs) to detect and track surface vessels using a small hydrophone array. It improves prior work by handling AUV self-noise, multi-target tracking via a particle filter with DBSCAN clustering, and closed-loop motion control. Field tests in Norfolk and Claytor Lake validated the system, while simulations confirmed stable tracking of one or two acoustic sources under varying conditions. A rear suppression tool was found essential for reliable performance when AUV self-noise interfered with detection.

32openalex2026-04-27A. I. OluwoDOI ↗ (opens in a new tab)

Seabed Digital Twins: Enhancing Offshore Megaproject Planning Through Real-Time Survey Intelligence (opens in a new tab)

This paper introduces a seabed digital twin framework that merges hydrographic, geotechnical, and metocean data into a continuously updated digital model of seabed conditions. The system uses real-time inputs from AUVs, ROVs, ASVs, and IoT sensors, combined with cloud-based analytics, to detect seabed changes and support predictive modeling. Case studies show benefits such as a 40% reduction in re-survey costs, 25% better pipeline routing efficiency, and earlier geohazard detection. The approach improves project economics, safety, and environmental management in offshore megaprojects.

33openalex2026-04-27J. Nelson, M. Leber, R. Ramos, M. P. Scherer +2 moreDOI ↗ (opens in a new tab)

Results from an Autonomous Current Survey in the Gulf of America (opens in a new tab)

A trial survey using the uncrewed surface vessel (USV) *Chance MC40* successfully mapped ocean currents in the Loop Current System (LCS) in the Gulf of America in August 2025. The USV, equipped with dual ADCPs, collected 90 hours of current velocity profiles (0-500m) across high-speed features like the LC’s northwestern wall and a cyclonic eddy. Data from the autonomous system matched traditional vessel-based measurements, proving its operational suitability. The approach reduces risks, costs, and downtime compared to crewed surveys while delivering reliable results.

34openalex2026-04-27L. Miozza, M. Gerolin, A. Moro, G. Avanzato +10 moreDOI ↗ (opens in a new tab)

Autonomous Sonar Based Method and System for Subsea Discharges Detection: Enhancing CCS Hub Operations with Integrated Monitoring Solutions (opens in a new tab)

This paper presents an autonomous sonar-based system for detecting subsea discharges to improve offshore carbon storage monitoring. The method uses a forward-looking acoustic setup on a surface vessel to provide real-time localization of plume-like features, enhancing coordination with other sensors. Tested at natural seepage sites, the system successfully guided complementary tools to targets, validating its role in integrated monitoring workflows. The approach aims to reduce data complexity, streamline operations, and support scalable, unmanned monitoring solutions.

35UK Defence Journal2026-04-15

Autonomous vessels outperform crewed surveys, UDT hears (opens in a new tab)

Autonomous vessels demonstrated superior performance compared to crewed surveys in recent evaluations, as reported at the Underwater Defence & Security (UDT) conference. The findings suggest that unmanned systems can conduct surveys more efficiently and effectively. This development highlights potential advancements in maritime data collection and defense operations. The UK Defence Journal presented these insights on April 15, 2026.

36crossref2026-10-21Luoheng Yan, Qiongyao Zhang, Zhongmin Huangfu, Dachun ShangguanDOI ↗ (opens in a new tab)

Multi-criteria prioritized reinforcement learning for autonomous underwater vehicle navigation in 3D multi-node environments (opens in a new tab)

This study introduces MC-PER-TD3, a reinforcement learning framework for autonomous underwater vehicles (AUVs) that prioritizes navigation balancing task completion, obstacle avoidance, communication, and energy efficiency. The method combines temporal-difference error and goal-proximity heuristics in experience replay, achieving 100% mission success with no collisions in testing. Compared to baseline models, it reduced path length and task time while improving energy efficiency, though it showed a trade-off with data throughput. The approach demonstrated robustness under noise and perturbations but had clear failure limits in extreme conditions.

37openalex2026-08-03Nicholas J. Nidzieko, Paige HoelDOI ↗ (opens in a new tab)

Autonomous quantification of kelp biomass on offshore aquaculture installations using side scan sonar (opens in a new tab)

This study introduces a method using side scan sonar (SSS) to autonomously quantify kelp biomass on offshore aquaculture farms. The approach applies geometric principles to estimate kelp height and standing biomass, validated with in-situ measurements at a commercial kelp farm near Santa Barbara, California. The technique aims to reduce the time, labor, and cost of traditional monitoring while supporting large-scale kelp farming. It offers a scalable solution for assessing infrastructure and crop growth amid rising global demand for macroalgae.

38openalex2026-06-16Dr. B. Rajasekhar ReddyDOI ↗ (opens in a new tab)

Runtime-Slayers/POSEIDON-AI-Autonomous-Submarine-Control-Brain: POSEIDON-AI-Autonomous-Submarine-Control-Brain (opens in a new tab)

The paper introduces a deep convolutional neural network (CNN) for automated target classification in anti-submarine warfare (ASW) using passive sonar spectrograms. Trained on 120,000 simulated spectrograms across 8 target classes, the model (ResNet-18-based) achieves 94.7% accuracy, with submarine detection sensitivity at 96.2% and a 2.1% false alarm rate. It outperforms traditional DEMON detectors and identifies known and previously undocumented spectral features. The results rely on simulated data, requiring real-ocean validation before operational use.

39scanx.trade2026-11-06

Naval Group and TII sign deal to develop autonomous underwater vehicles (opens in a new tab)

Naval Group and the Technology Innovation Institute (TII) signed an agreement on November 6, 2026, to jointly develop autonomous underwater vehicles (AUVs). The partnership aims to advance underwater technology through collaboration. No specific technical details or project timelines were disclosed in the announcement. The deal reflects efforts to enhance capabilities in unmanned maritime systems.

40Business Wire2026-11-05

EURONAVAL 2026: Naval Group and Technology Innovation Institute (TII) Sign an Agreement to Pool Their Expertise in Advanced Autonomous Underwater Technologies. (opens in a new tab)

Naval Group and the Technology Innovation Institute (TII) signed an agreement at EURONAVAL 2026 to collaborate on advanced autonomous underwater technologies. The partnership aims to combine their expertise to develop innovative solutions in this field. The agreement was announced during the event held in 2026. No specific projects or technical details were disclosed in the announcement.

41Konsulteer2026-11-05

TII and Naval Group Partner to Advance Autonomous Underwater Technologies in the UAE (opens in a new tab)

The Technology Innovation Institute (TII) and Naval Group have partnered to develop autonomous underwater technologies in the UAE. The collaboration aims to enhance research and innovation in underwater systems. This initiative focuses on advancing capabilities in unmanned underwater vehicles and related technologies. The partnership was announced on November 5, 2026.

42NTNU2026-09-21

NTNU has tested autonome inspection of a seabed gas pipeline (opens in a new tab)

NTNU conducted a test of autonomous inspection for a seabed gas pipeline. The trial aimed to evaluate the performance of unmanned systems in monitoring underwater infrastructure. No additional details on outcomes or methods were provided. The test was reported as part of NTNU's research activities.

43PR Newswire2026-08-04

Blue Water Autonomy Selected by U.S. Navy for Autonomous Open-Ocean Survey Work (opens in a new tab)

The U.S. Navy has selected Blue Water Autonomy for autonomous open-ocean survey work. The company will provide unmanned systems to conduct surveys in deep ocean environments. This initiative aims to enhance naval operations through advanced autonomous technology. The selection was announced on August 4, 2026.

44openalex2026-07-29Xuehao Wang, L.R. Chen, Dongyang Xue, Cheng Chen +1 moreDOI ↗ (opens in a new tab)

Digital Twins for Marine Robotic Platforms: Architectures, Applications, and Challenges Across AUVs, ROVs, USVs, Underwater Gliders, and Emerging Platforms (opens in a new tab)

This paper reviews digital twin (DT) applications in marine robotics, covering AUVs, ROVs, USVs, underwater gliders, and emerging platforms. A structured search analyzed 107 studies, identifying varied architectures, technologies, and validation methods but no fully operational deployments. Key challenges include balancing model fidelity with computation, environmental uncertainties, and communication limitations. The authors suggest physics-informed learning and edge computing as potential solutions but highlight the need for sustained, interoperable physical-virtual integration.

45openalex2026-10-28Vishnudatta Thota, Tyler M. Paine, Anastasia BizyaevaDOI ↗ (opens in a new tab)

Tunable Spatial Task Allocation with Application to Maritime Swarms (opens in a new tab)

This paper presents a task allocation strategy for autonomous agent teams, using a generalized Nonlinear Opinion Dynamics model adapted for spatial movement. The approach allows agents to dynamically redistribute across tasks, producing allocation patterns from fully dispersed to cohesive groups based on environmental and social interaction parameters. Simulations demonstrate real-time reconfiguration under changing demands, with performance near the Hungarian optimum for distance-based preferences. The method is validated in a MOOS-IvP-Multi environment using simulated autonomous underwater vehicles (AUVs).

46navalnews2026-10-22Naval News

Elbit Systems Expands Underwater and Maritime Autonomy Capabilities with Acquisition of ISE (opens in a new tab)

Elbit Systems acquired Canada-based International Submarine Engineering Ltd. (ISE) to enhance its underwater and maritime autonomy capabilities. ISE specializes in autonomous underwater vehicles (AUVs), remotely operated vehicles (ROVs), and subsea robotics, with over 50 years of experience and 250 vehicles delivered globally. The acquisition aims to expand Elbit Systems’ offerings in underwater ISR, mine countermeasures, and anti-submarine warfare. The move strengthens Elbit’s position as a provider of integrated maritime solutions.

47openalex2026-06-10Mingzhi Chen, Hongfei Li, Liming Feng, Daqi ZhuDOI ↗ (opens in a new tab)

Autonomous pathfinding for underactuated AUVs using FDHNN (opens in a new tab)

This paper presents the Finite Direction Hopfield Neural Network (FDHNN), a new method for autonomous pathfinding in underactuated Autonomous Underwater Vehicles (AUVs). The approach uses eight directional neurons per grid cell with tailored connection weights to address challenges like limited sensor field of view and directional constraints. It combines global planning via FDHNN with a refined Dynamic Window Approach (DWA) for local maneuvering. Simulations show improved performance over existing algorithms, enhancing reliability in underwater navigation.

48openalex2026-04-24Ahmetcan Önal, Andaç Töre ŞamiloğluDOI ↗ (opens in a new tab)

Adaptive Data-Driven Control of Autonomous Underwater Vehicles: Bridging the Gap Between Simulation and Experimental Baseline via LSTM-MPC (opens in a new tab)

This study introduces an LSTM-MPC control framework to improve velocity stabilization in Autonomous Underwater Vehicles (AUVs) under unpredictable marine conditions. The approach uses an LSTM neural network to predict velocity and integrates it with Model Predictive Control (MPC) to optimize performance while accounting for actuator limits. An online learning mechanism allows real-time adaptation to disturbances and sensor noise without relying on analytical models. Experimental results show the method outperforms PID-based controls, reducing tracking errors in rotational axes while maintaining precision in translational movements.

49openalex2026-04-16Satoru Morikawa, Masaki Yoda, Takehito Ouchi, Takazumi Yasui +13 moreDOI ↗ (opens in a new tab)

PDGFRα-positive mesenchymal stem/stromal cells contribute to autonomous vascular formation through in-body tissue architecture (opens in a new tab)

This study explores how PDGFRα-positive mesenchymal stem/stromal cells (MSCs) enable the formation of vascularized tissues within implanted molds through in-body tissue architecture (iBTA). Using PDGFRα reporter mice, researchers found these cells associated with blood vessels and expressed MSC markers (CD73, CD90, CD105), showing multi-lineage differentiation potential in lab tests. The method was successfully tested in pigs, producing organized vascular tissue and collagen within two weeks. iBTA avoids cell isolation and immunosuppression by using the body’s own MSCs for tissue engineering.

50openalex2026-04-13Pranav Kedia, Rajini Makam, Heiko Hamann, Suresh SundaramDOI ↗ (opens in a new tab)

BIND-USBL: Bounding IMU Navigation Drift using USBL in Heterogeneous ASV-AUV Teams (opens in a new tab)

The paper *BIND-USBL* introduces a cooperative localization system for Autonomous Underwater Vehicles (AUVs) in GPS-denied environments, where drift from inertial navigation is a major issue. The framework uses Autonomous Surface Vessels (ASVs) with Ultra-Short Baseline (USBL) acoustic positioning to provide intermittent fixes, reducing dead-reckoning errors. Key components include a multi-ASV formation model, a conflict-graph-based scheduler for efficient acoustic updates, and delayed fusion of USBL data with inertial measurements. Simulations demonstrate improved localization performance based on survey scale, acoustic coverage, and ASV-AUV team geometry.

51openalex2026-04-27Louise Delaigue, Peter Landschützer, Cathy Wimart-Rousseau, Lisandro A. Arbilla +4 moreDOI ↗ (opens in a new tab)

The Southern Ocean CO2 sink in an evolving observing system (opens in a new tab)

The Southern Ocean's CO₂ sink was estimated at -1.32 ± 0.10 Pg C yr⁻¹ (2003–2024) by combining ship-based SOCAT data with year-round BGC-Argo float measurements. Earlier ship-only data suggested a strengthening sink, but this trend disappeared when float data corrected seasonal and regional biases, resulting in a near-zero long-term trend. The merged dataset reduces the inferred sink by 12% and aligns with atmospheric and ocean model estimates. Integrating both observation methods improves accuracy and provides a reliable benchmark for future CO₂ uptake assessments.

52Оборонка2026-11-05

France Orders Naval Group to Develop Unmanned Underwater Combat Vehicle for Its Navy (opens in a new tab)

France has commissioned Naval Group to develop an unmanned underwater combat vehicle for its navy. The project aims to enhance naval capabilities with advanced autonomous technology. The initiative reflects France's focus on modernizing its defense systems. No specific timeline or technical details were provided in the order.

53openalex2026-10-20Ocean Networks Canada SocietyDOI ↗ (opens in a new tab)

Mantis Navigation System Deployed 2026-08-19 (opens in a new tab)

The Mantis ROV Navigation 01 system was deployed on August 19, 2026, aboard the Mantis ROV, operated by CanPac Marine Services Inc. It records positional data such as latitude, longitude, speed, heading, pitch, roll, and depth for ships, buoys, and AUVs. The system was installed on a mobile platform, and its data were archived and made accessible via Ocean Networks Canada’s Oceans 3.0 infrastructure. Quality assurance and derived data products followed standard procedures.

54PR Newswire2026-10-15

Autonomous Underwater Vehicle (AUV) Market worth $10.94 billion by 2031 - Exclusive Report by MarketsandMarkets™ (opens in a new tab)

The Autonomous Underwater Vehicle (AUV) market is projected to reach $10.94 billion by 2031, according to an exclusive report by MarketsandMarkets™. The growth is driven by increasing demand across defense, oil and gas, and scientific research sectors. The report highlights trends in technological advancements and expanding applications of AUVs. No specific growth rate or detailed methodologies are provided.

55openalex2026-09-11Ocean Networks Canada SocietyDOI ↗ (opens in a new tab)

Mantis Navigation System Deployed 2026-07-24 (opens in a new tab)

The Mantis ROV Navigation 01 system was deployed on July 24, 2026, aboard the Mantis ROV operated by CanPac Marine Services Inc. It records positional data such as latitude, longitude, speed, heading, pitch, roll, and depth for ships, buoys, and AUVs. The system was installed on a mobile platform, and its data is stored and accessible via Ocean Networks Canada’s Oceans 3.0 infrastructure. Quality assurance and derived data products follow standard procedures.

56openalex2026-08-27André J. H. Olaisen, Jo EidsvikDOI ↗ (opens in a new tab)

Autonomous underwater vehicle sampling for hotspots in chlorophyll A (opens in a new tab)

Researchers developed an algorithm for autonomous underwater vehicles (AUVs) to efficiently map chlorophyll A hotspots by prioritizing sampling locations based on expected improvement. The system uses a Gaussian random field model to represent chlorophyll variations in space and time, updating in real-time with in-situ measurements. Field trials in Norway demonstrated the method’s adaptive sampling capabilities, comparing chlorophyll data with zooplankton distributions. Simulations showed the approach outperformed alternative sampling strategies.

57Marine Log2026-08-05

Blue Water Autonomy selected for NAVOCEANO autonomous open-ocean survey contract (opens in a new tab)

Blue Water Autonomy was awarded a contract by NAVOCEANO (Naval Oceanographic Office) to conduct autonomous open-ocean surveys. The agreement focuses on leveraging uncrewed systems for data collection in oceanic environments. This selection highlights the growing reliance on autonomous technology for naval oceanographic operations. No specific details on contract duration or scope were provided.

58British Antarctic Survey2026-08-03

The rise of the robots: how autonomous vehicles are transforming polar science (opens in a new tab)

Autonomous vehicles are increasingly used in polar science to enhance data collection in extreme environments. These robots improve safety and efficiency by accessing hazardous or remote areas where human presence is risky. The British Antarctic Survey highlights their role in transforming research methods in Antarctica. Such technology allows for more frequent and detailed scientific observations.

59openalex2026-07-22An Li, Fan Gao, Zhenqiang Song, Yuqing Li +3 moreDOI ↗ (opens in a new tab)

An Original Field Experiment for Positioning of the Seafloor Acoustic Beacon Based on the Ranging Measurement from Surface-Navigation AUV (opens in a new tab)

This study tested a method to precisely locate seafloor acoustic beacons using an autonomous underwater vehicle (AUV) instead of costly surface vessel surveys. The experiment, conducted at 2,400 meters depth in the South China Sea, used two-way travel-time data and a robust estimation technique to determine beacon coordinates. Missing data (about 40%) affected accuracy, but simulated complete data improved 3D positioning precision from 1.817 meters to 1.127 meters. Results suggest AUVs offer a cost-effective alternative for underwater positioning in marine surveys.

60openalex2026-06-26Wegner Chukwuemeka DuloDOI ↗ (opens in a new tab)

Passive Acoustic Monitoring of Leaks in Underwater Wells and Pipelines (opens in a new tab)

Passive Acoustic Monitoring (PAM) detects underwater leaks in wells and pipelines by capturing natural acoustic signals from escaping fluids, bubbles, and vibrations using hydrophones and distributed sensing networks. Signal processing and machine learning help distinguish leak signatures from background noise, improving reliability in real-time monitoring. While effective, challenges like false positives, sensor placement, and performance in noisy environments persist. Research focuses on enhancing detection sensitivity and accuracy through multi-modal sensing and AI-driven localization.

61뉴스12026-10-28

Reading the future of the sea... The major shift in marine surveys led by marine robots and autonomous navigation (opens in a new tab)

Marine surveys are undergoing a major transformation driven by marine robots and autonomous navigation. These technologies are replacing traditional methods, improving efficiency and data collection in ocean research. The shift aims to enhance understanding of marine environments. The article highlights advancements in robotic and autonomous systems for future ocean exploration.

62헬로디디2026-10-20

Unmanned vessel successfully demonstrates 200m underwater seabed survey for coastal geological resources (opens in a new tab)

A South Korean research team successfully conducted a 200-meter underwater seabed survey using an unmanned vessel to assess coastal geological resources. The demonstration, led by the Korea Institute of Geoscience and Mineral Resources (KIGAM), validated the vessel's capability for remote geological surveys. The project aimed to improve efficiency and safety in coastal resource exploration. No additional technical details or outcomes were specified.

63뉴시스2026-10-19

KIGAM conducts unmanned coastal geological survey; 'Unmanned surface vessel demonstration successful' (opens in a new tab)

The Korea Institute of Geoscience and Mineral Resources (KIGAM) successfully demonstrated an unmanned surface vessel for coastal geological surveys. The test confirmed the vessel's capability to conduct unmanned operations in coastal areas. This advancement aims to improve efficiency and safety in geological exploration. The project marks progress in adopting autonomous technology for marine research.

64인사이트에너지뉴스2026-10-19

KIGAM verifies unmanned surface vessel-based seismic receiver technology in real sea conditions (opens in a new tab)

The Korea Institute of Geoscience and Mineral Resources (KIGAM) successfully tested unmanned surface vessel-based seismic receiver technology in real sea conditions. The verification aimed to validate the performance of seismic data collection using autonomous platforms. This development could enhance marine seismic surveys by improving efficiency and reducing operational costs. The test marks a step forward in adopting unmanned systems for geophysical exploration.

65기계신문2026-10-19

KIGAM successfully demonstrates unmanned surface vessel-based coastal seismic survey technology in real sea conditions (opens in a new tab)

The Korea Institute of Geoscience and Mineral Resources (KIGAM) successfully tested unmanned surface vessel-based seismic survey technology in real coastal sea conditions. The demonstration validated the system's ability to conduct seismic surveys without human-operated vessels. This advancement aims to improve efficiency and safety in coastal geological exploration. The technology was proven effective in actual marine environments.

66굿모닝충청2026-10-19

Unmanned vessels conduct underwater exploration in place of humans (opens in a new tab)

Unmanned vessels are now being used for underwater exploration instead of humans. These autonomous ships perform tasks in ocean environments where human presence is difficult or risky. The technology aims to improve efficiency and safety in marine research and operations. The article highlights advancements in this field as of October 2026.

67해사신문2026-10-19

KIGAM successfully demonstrates unmanned surface vessel-based coastal seismic survey (opens in a new tab)

The Korea Institute of Geoscience and Mineral Resources (KIGAM) successfully conducted a coastal seismic survey using an unmanned surface vessel. This demonstration marks a technological advancement in geophysical exploration. The method aims to improve efficiency and safety in coastal seismic data collection. The project highlights progress in unmanned maritime survey capabilities.

68에너지프로슈머2026-10-19

Underwater strata observed without large survey vessels using unmanned surface vessel technology (opens in a new tab)

A new technology allows observation of underwater strata without large survey vessels by using unmanned surface vessels (USVs). Developed by 에너지프로슈머, this method reduces the need for traditional, resource-intensive survey ships. The approach aims to improve efficiency and accessibility in underwater geological studies. The system was introduced in a 2026 publication.

69Skai.gr2026-10-13

What Are the Unmanned Vessels and Underwater Systems Presented by the Hellenic Navy? (opens in a new tab)

The Hellenic Navy showcased its unmanned vessels and underwater systems, highlighting advancements in maritime technology. The presentation included autonomous surface ships and remotely operated underwater vehicles designed for surveillance, reconnaissance, and operational support. These systems aim to enhance naval capabilities while reducing risks to human personnel. Specific details on models or functionalities were not provided in the text.

70人民网2026-09-24

World record: 116 autonomous underwater vehicles achieve synchronized formation (opens in a new tab)

On September 24, 2026, a world record was set when 116 autonomous underwater vehicles (AUVs) achieved synchronized formation swimming. The event, reported by People's Daily, marked the largest number of AUVs operating in coordinated motion. No additional technical details or methods were provided in the announcement. The record highlights advancements in underwater robotics and multi-vehicle coordination.

71openalex2026-10-08Yoshiaki Kunieda, Emi Kanayama, Ayano Oka, Mizuki SaitoDOI ↗ (opens in a new tab)

Creative Education Utilising a Newly Built Training Vessel: A Proposal for PBL Utilising the Marine Research Equipment on Board the Training Vessel Wakashio-maru (opens in a new tab)

The *Wakashio-maru*, a new training vessel for the National Institute of Technology, Toyama College, was completed in March 2026 and operates in Toyama Bay’s deep-sea areas. Equipped with advanced marine research instruments, it supports hands-on education where students collect and analyze real-world data on water quality, ocean currents, and marine life. The vessel facilitates project-based learning (PBL) focused on regional challenges like marine conservation, fisheries sustainability, and coastal community issues. This approach aims to develop students’ problem-solving skills, creativity, and ability to generate innovative solutions using inquiry-based methods.

72openalex2026-10-02Florian Zimmer, Marcel Nicolaus, Evgenii Salganik, Ran Tao +6 moreDOI ↗ (opens in a new tab)

Contrasting Light Transmission in Different Arctic Sea Ice Regimes During Summer (opens in a new tab)

A 2025 expedition measured light transmission through three Arctic sea ice types—first-year, mixed first- and second-year, and multiyear ice—using underwater surveys in July and August. First-year ice allowed the most light (21% transmittance), while multiyear ice transmitted only 6%, with second-year ice in between (12%). Snowfall and seasonal changes altered transmission, reducing first-year ice transmittance by 40% but increasing second-year ice’s nearly twofold. The study found transmitted solar radiation contributed 30-47% of basal ice melt energy, emphasizing sea ice type’s role in Arctic Ocean heating and ecosystems.

73openalex2026-09-15Natalia Dikul, Evgen Dykyi, Anastasiia Chyhareva, Svitlana Krakovska +1 moreDOI ↗ (opens in a new tab)

How Antarctic Ice and Southern Ocean Changes Are Interconnected with Climate, Sea Level, and Biodiversity (opens in a new tab)

This paper examines the link between Antarctic ice, the Southern Ocean, and broader climate, sea level, and biodiversity impacts. Researchers used a high-resolution atmospheric model to study how precipitation affects Antarctic ice shelf mass balance. Additional autonomous Argo floats were deployed to gather ocean data, improving knowledge of seasonal water exchanges between the Weddell Sea and the Antarctic Peninsula. The findings contribute to the OCEAN ICE project and address gaps in field observations.

74openalex2026-07-28Wenbo Luo, Qingwen Zhang, Bin LinDOI ↗ (opens in a new tab)

Research on the inspection technology and application of deep-sea marine cable based on underwater robots (opens in a new tab)

This paper examines the use of underwater robots to improve deep-sea marine cable inspection and maintenance. It evaluates ROVs, AUVs, and hybrid systems like UVMS, highlighting their roles in navigation, damage detection, and repairs. Advanced technologies such as vision-based systems, sonar, and multisensory fusion are discussed for enhancing accuracy in harsh conditions. Case studies demonstrate the effectiveness of these robotic platforms in real-world cable monitoring and repair tasks.

75openalex2026-06-02Martin Siegert, Thomas J. Bracegirdle, Peter Convey, Katharine Hendry +2 moreDOI ↗ (opens in a new tab)

Antarctic science operations must account for climate change and extreme environmental events (opens in a new tab)

Antarctic research operations face increasing disruptions from extreme environmental events (EEEs) due to climate change, affecting personnel deployment, equipment use, and access to remote sites. Research stations, airfields, and vessel routes are becoming less reliable, threatening traditional levels of scientific activity. Autonomous systems may help supplement fieldwork to maintain research capabilities. Preparing for these challenges will be critical ahead of the 5th International Polar Year (2032-33).

76openalex2026-05-30Daniel Rosehill, Gemini 3.1 (Flash), Chatterbox TTSDOI ↗ (opens in a new tab)

What Submarines Actually Do Underwater (opens in a new tab)

Submarines serve multiple roles beyond nuclear deterrence, with only 30% of the global fleet dedicated to this purpose. Attack submarines conduct anti-surface and anti-submarine warfare, intelligence gathering, special operations support, and sea denial by creating uncertainty for adversaries. They also launch cruise missiles, as seen in U.S. and Russian strikes, and some are modified for undersea espionage, such as tapping fiber optic cables. Missions like these are often classified, with submarines like the USS Parche and USS Jimmy Carter playing key roles.

77openalex2026-04-28Roee Diamant, Yeshayahu Pewzner, Guy Gubnitsky, David F. Gruber +3 moreDOI ↗ (opens in a new tab)

Backseat driver architecture to passively follow sperm whales by their voices with an autonomous underwater glider (opens in a new tab)

This paper introduces a "backseat driver" system for an autonomous underwater glider to passively track sperm whales using their echolocation clicks. The system, mounted on a modified SeaExplorer glider, uses a four-hydrophone array to detect, separate, and estimate the angle of whale sounds, adjusting the glider’s direction in real time. Field trials demonstrated the system’s ability to follow whales at distances over 100 meters with minimal noise impact. The design enables long-term passive acoustic monitoring, with open-source code and data available.

78openalex2026-04-27C. K. Weber, Brian ButlerDOI ↗ (opens in a new tab)

Digital Transformation of Offshore Operations Smarter, Safer Decisions with Cloud–Based Seabed Information (opens in a new tab)

The paper explores how autonomous underwater survey systems are changing offshore subsea operations by reducing reliance on traditional vessel-based methods. It reviews advancements in autonomous underwater vehicles (AUVs) and subsea data management, highlighting cloud-based platforms for scalable and efficient data handling. The authors predict AI and autonomy will significantly transform oil and gas operations in the next 10–15 years. The focus is on integrated systems combining robotics and cloud technology for data-driven subsea operations.

79Seoul Economic Daily2026-04-23

HD Hyundai Expands Unmanned Vessel Push Into Submarines (opens in a new tab)

HD Hyundai is extending its development of unmanned vessels to include submarines. The company aims to advance autonomous maritime technology beyond surface ships. This expansion reflects a broader push into automated and remote-controlled underwater systems. The initiative aligns with growing industry interest in unmanned naval capabilities.

80Israel Defense2026-11-08

French Navy to Procure Large Unmanned Underwater Vehicles (opens in a new tab)

The French Navy plans to acquire large unmanned underwater vehicles (UUVs) as part of its modernization efforts. The procurement aims to enhance maritime surveillance, reconnaissance, and operational capabilities. Details on specific models or timelines were not provided in the announcement. The initiative reflects broader trends in naval forces adopting autonomous systems.

81crossref2026-03-30C. J. BerryDOI ↗ (opens in a new tab)

Powering Change: Electrically Operated Subsea Safety Module for Future Well Intervention (opens in a new tab)

This paper discusses the need for hydraulic intervention in oil and gas wells, which uses chemicals or fluids under pressure for maintenance, remediation, or stimulation. It highlights the challenges of delivering fluids to subsea wells, requiring dedicated intervention vessels with remotely operated vehicles (ROVs) and specialized equipment like a subsea safety module (SSM). The SSM, as per API recommended practice 17G2, provides isolation valves, downline connection points, and an injection connection point for safe well intervention. Fluids can be injected at various locations, such as the subsea Christmas Tree or retrievable choke, depending on access availability.

82openalex2026-06-30V.V. Knyazhev, V.V. LoshchenkovDOI ↗ (opens in a new tab)

Energy sources for AUV docking charging stations (opens in a new tab)

This paper explores energy sources for AUV docking charging stations to enable long-term autonomous operation. Options include cable lines, nuclear power, hydrogen fuel cells, and renewable sources like wind, wave, solar, and thermal energy. The study estimates parameters for a hydrogen fuel cell system using Russian components and high-pressure gas cylinders. It also calculates the energy and power requirements for charging specific AUV models (MT-2010 and MT-2013) developed by the Institute of Marine Technology Problems.

83openalex2026-10-13Rolf B. Pedersen, Daniel Albert, Marius Bratrein, Broberg, Jonas, 1962- +29 moreDOI ↗ (opens in a new tab)

GoNorth 2023 Cruise Report (opens in a new tab)

The GoNorth 2023 cruise aimed to explore the Gakkel Ridge, part of the global mid-ocean ridge system, but drifting sea ice prevented access to primary survey areas. Research shifted to the western Gakkel Ridge, where a volcanic area and a hydrothermal field were mapped using underwater vehicles. Despite initial setbacks, the team discovered a unique hydrothermal field, "Ultima Thule," at 3,000 meters depth beneath sea ice. The cruise also included ice studies, sediment sampling, and an oceanographic transect across the Fram Strait.

84openalex2026-07-22NOAA Ocean ExplorationDOI ↗ (opens in a new tab)

Okeanos Explorer (EX2502): 2025 ROV and Mapping Shakedown (opens in a new tab)

NOAA Ocean Exploration conducted the 2025 ROV and Mapping Shakedown (EX2502) from March 17–27, 2025, near Hawai'i to test ROV, mapping, and sampling systems aboard the *Okeanos Explorer*. The expedition completed 8 ROV dives at depths of 322–4,683 meters, totaling 32.5 hours of bottom time and collecting 41 samples. Taxonomic identifications were provided by the University of Hawai'i, while biological, geological, and eDNA samples were archived at the Smithsonian and the University of Rhode Island. Data and sample records are publicly available through NOAA’s National Centers for Environmental Information and other repositories.

85openalex2026-04-28Lei Tan, Lei Wang, Chaohe ChenDOI ↗ (opens in a new tab)

Research on Underwater Scene Reconstruction for Mobile Platforms Based on Rotating Scanning Sonar (opens in a new tab)

This paper presents a method for underwater scene reconstruction using a 3D rotating scanning sonar, RTK, and IMU systems on an unmanned surface vehicle (USV). The approach combines multi-sensor data fusion, image correlation calibration, and multi-view acoustic imaging to reconstruct water column and seabed scenes accurately. The system is cost-effective and does not require precise USV motion control. Lake bed imaging tests confirmed its high-precision seabed reconstruction capabilities.

86Dealroom2026-11-07

Saildrone taps Norwegian shipbuilder Umoe Mandal to build Surveyor USVs (opens in a new tab)

Saildrone has partnered with Norwegian shipbuilder Umoe Mandal to construct its Surveyor uncrewed surface vessels (USVs). The collaboration aims to expand production of these autonomous vehicles designed for ocean mapping and data collection. No further details on timelines or production capacity were provided. The agreement marks a step in scaling Saildrone’s USV fleet.

87MENAFN2026-11-06

TN: MATSYA-6000 Undergoes Successful Unmanned Trials At Kattupalli (opens in a new tab)

The unmanned trials of India’s MATSYA-6000 submersible were successfully conducted at Kattupalli, evaluating flotation, stability, ballast systems, and subcomponents as per test protocols. Developed by NIOT under the Samudrayaan Project, the 6,000-meter-rated human submersible features indigenous systems for deep-sea exploration, including navigation, communication, and life-support equipment. Officials also reviewed the repair of the research vessel *Sagar Manjusha*, which supports oceanographic surveys with specialized labs and instruments like a sub-bottom profiler and CTD device. Both vessels are part of India’s deep-sea and marine research infrastructure.

88EDR Magazine - European Defence Review2026-11-05

Entry into production of the UCUV (Unmanned Combat Underwater Vehicle) demonstrator - EDR Magazine (opens in a new tab)

The UCUV (Unmanned Combat Underwater Vehicle) demonstrator has entered production as reported by the European Defence Review. This development marks a step forward in unmanned underwater military technology. The project aims to advance autonomous combat capabilities for underwater operations. No specific technical details or timelines beyond the production phase were provided.

89헤럴드경제2026-10-21

From AI-powered ships to underwater robots: KRISO unveils future ocean technologies (opens in a new tab)

The Korea Research Institute of Ships and Ocean Engineering (KRISO) showcased advanced ocean technologies, including AI-powered ships and underwater robots. These innovations aim to enhance maritime operations and exploration. The developments were presented as part of KRISO’s vision for future ocean technology. No specific technical details or results were provided in the announcement.

90Ocean News & Technology2026-10-19

HII Sea Launcher Test Moves REMUS UUV Autonomy Closer To Fleet Deployment (opens in a new tab)

A recent test by HII successfully demonstrated the sea launch capability of the REMUS unmanned underwater vehicle (UUV), advancing its autonomy toward fleet deployment. The trial marks progress in integrating UUVs into naval operations. The REMUS system aims to enhance underwater mission flexibility and operational efficiency. Further development is expected to support future naval fleet applications.

91PR Newswire2026-10-16

Saab, FMV and the Swedish Armed Forces launch uncrewed underwater vehicle (opens in a new tab)

Saab, FMV, and the Swedish Armed Forces jointly launched an uncrewed underwater vehicle in October 2026. The collaboration aims to enhance underwater capabilities for defense and maritime operations. No specific technical details or operational objectives were disclosed in the announcement. The initiative reflects ongoing efforts to advance autonomous underwater technology.

92ExecutiveGov2026-09-21

Top 5 Navy UUV and USV Use Cases Driving 2026 Missions (opens in a new tab)

The U.S. Navy’s 2026 missions prioritize five key use cases for unmanned underwater vehicles (UUVs) and unmanned surface vessels (USVs). These include mine countermeasures, intelligence gathering, surveillance, reconnaissance, and payload delivery. UUVs and USVs are also being deployed for anti-submarine warfare and force protection. The focus is on enhancing autonomy, endurance, and operational flexibility in naval operations.

93openalex2026-07-21Pierluigi Carbonara, Carmen Ferrà, L. Marsaglia, Rigers Bakiu +8 moreDOI ↗ (opens in a new tab)

Mapping vulnerable marine ecosystems to support conservation measures for Isidella elongata in the Southern Adriatic Sea (opens in a new tab)

This study mapped the distribution and biomass of the bamboo coral *Isidella elongata* in the Southern Adriatic Sea to support conservation efforts. Using trawl surveys, ROV observations, and environmental data, researchers found the coral thrives at depths of 500–650 meters, with its presence influenced by seafloor slope and fishing pressure. Areas with high suitability but low biomass were linked to degradation from bottom trawling. The results guided the design of a Fisheries Restricted Area in the Otranto Channel to protect these vulnerable ecosystems.

94crossref2026-06-28Nguyen Trung DungDOI ↗ (opens in a new tab)

Adaptive Navigation Strategies for Autonomous Underwater Vehicles in Time-Varying Marine Environments (opens in a new tab)

This paper explores adaptive navigation strategies for Autonomous Underwater Vehicles (AUVs) used in ocean exploration, monitoring, and military tasks. It highlights challenges like unpredictable ocean currents, moving obstacles, sensor limitations, and communication issues in dynamic marine settings. The study aims to improve AUV reliability in changing underwater conditions. No specific methods or results are detailed in the provided text.

95crossref2026-04-30DOI ↗ (opens in a new tab)

Underwater Maritime Autonomous Vehicles and the Future of Submarines (opens in a new tab)

The paper discusses the role of underwater maritime autonomous vehicles (UMAVs) and their impact on the future of submarines. It examines how advancements in autonomous technology may reshape submarine operations and naval strategies by 2026. The text also explores legal considerations under international law regarding the use of UMAVs. Key challenges and opportunities for integrating these systems into existing maritime frameworks are highlighted.

96openalex2026-04-02Jiyong Kwon, Ujin Jeon, Sooji Lee, Guang Lin

AIVV: Neuro-Symbolic LLM Agent-Integrated Verification and Validation for Trustworthy Autonomous Systems (opens in a new tab)

AIVV introduces a hybrid framework using Large Language Models (LLMs) to automate Verification and Validation (V&V) for autonomous systems. It addresses limitations of deep learning models in anomaly classification by deploying a role-specialized LLM council to collaboratively validate faults and assess system responses against natural-language requirements. The framework generates actionable V&V artifacts, such as gain-tuning proposals, and was tested successfully on a time-series simulator for Unmanned Underwater Vehicles (UUVs). AIVV aims to replace manual Human-in-the-Loop (HITL) processes, offering a scalable solution for system oversight.

© 2026 Ship Autonomy · Summaries are AI-generated; articles belong to their publishers · Privacy · Contact