Ship Autonomy

01openalex2026-09-17Yuhan Zhou, Huijin Xu, Maoyuan Sun, Shuai Huang +6 moreDOI ↗

Data-driven social-cognitive navigation for energy-efficient and low-carbon autonomous shipping (opens in a new tab)

This study introduces a Social-Cognitive Navigation Framework (SCNF) for autonomous shipping, using historical and real-time AIS data to enhance safety and efficiency. The framework combines a Recursive Hypergraph Transformer, Level-k reasoning, and a game-theoretic planner, outperforming existing methods in 500 trials. It achieved zero collisions, improved path efficiency, and reduced traffic disturbance in crossing and overtaking scenarios. While it suggests sustainability benefits, direct fuel and emissions reductions were not measured.

02TipRanks2026-09-03

Autonomous Surface Vessel Capabilities Highlight Cost Efficiencies in Maritime Missions (opens in a new tab)

Autonomous surface vessels demonstrate significant cost efficiencies in maritime missions by reducing operational expenses. These vessels eliminate the need for crew-related costs, such as salaries and accommodations, while improving fuel efficiency. Their deployment also enhances mission endurance and reduces human risk in hazardous environments. The technology is positioned to transform commercial and defense maritime operations.

03crossref2026-07-10Myo Min Thant, Soula KyriakouDOI ↗

Evolving Regulatory Landscape and Environmental Perception: Myanmar’s Legal and Sustainability Readiness for Maritime Autonomous Surface Ships (MASS) Adoption (opens in a new tab)

This study examines Myanmar’s legal and sustainability readiness for Maritime Autonomous Surface Ships (MASS). Survey data from 51 seafarer officers shows 40% find Myanmar’s current legal framework insufficient for MASS adoption. About 70% of respondents believe MASS will improve environmental sustainability. The research aims to help Myanmar develop a systematic framework for future MASS operations in its coastal waters.

04openalex2026-06-07Satoshi KawauchiDOI ↗

Research on a Distributed Logistics Network Using Autonomous Resupply Vessel ARV-S: Self-Optimizing Resupply Infrastructure Technology in High-Threat and Communication-Denied Environments ― A Next-Generation Resupply Infrastructure Model Integrating Autonomous Navigation, Distributed Resupply, Modular Payloads, Resilient Communication, Phased Autonomy, Environmentally Adaptive Logistics, and Quantum Thinking Circuit OS ASI ― (opens in a new tab)

This research introduces ARV-S, an autonomous maritime logistics system designed for high-threat and communication-denied environments. It replaces traditional centralized resupply methods with a self-optimizing network of distributed, intelligent vessels using swarm intelligence and continuous learning. Key features include modular payloads, resilient communication, predictive maintenance, and a Quantum Thinking Circuit OS for adaptive decision-making. The goal is a self-healing logistics ecosystem supporting disaster response, remote resupply, and environmental monitoring.

05crossref2026-07-17Roberto TrevisaniDOI ↗

Resilient Sensing and Multi-Sensor Fusion for Autonomous Maritime Systems (opens in a new tab)

This paper explores how autonomous maritime systems depend on diverse sensors like radar, LiDAR, GNSS, and INS for navigation and surveillance. Challenges such as radar clutter, jamming, and GNSS signal interference threaten reliability, requiring techniques like clutter suppression and adaptive countermeasures. Multi-sensor fusion is highlighted as a solution to reduce uncertainty and improve situational awareness by combining data from complementary sensors. The approach ensures robust decision-making even in adverse or degraded conditions.

06crossref2026-05-11J Cho Hong Goh, Wei Han Khor, H S Kang, Chee-Loon Siow +2 moreDOI ↗

Challenges and Opportunities for Digital Twins Supporting Smart Mobility in Autonomous Ship Navigation Through Complex Traffic Area (opens in a new tab)

This paper examines challenges in autonomous ship navigation, such as emergency behavior, harsh conditions, and human error in mixed traffic. It explores how Digital Twins (DT), combined with AI and big data, could improve safety and efficiency in complex marine environments. The study reviews current autonomous ship systems and traffic models to assess DT’s potential for enhancing navigation. DT may also support decarbonization and smart mobility in maritime transport.

07openalex2026-11-01Wentao Lv, Peng Wu, Wenwen Liu, Jianxiong Hu +4 moreDOI ↗

Ship-shore energy systems for maritime electrification: Voyage-energy provision, configurations and resilience (opens in a new tab)

This paper reviews research (2000–2026) on maritime electrification, focusing on how energy is supplied and replenished for electrified vessels. It identifies two main pathways—shore-electric operation (external power supply) and fuel-carried electric operation (onboard fuel storage)—and four vessel configurations, from battery-dominant to fuel-dominant systems. Case studies show how replenishment access and onboard capabilities influence operational feasibility. The study highlights shifting constraints between port infrastructure and vessel autonomy, affecting resilience to disruptions.

08openalex2026-10-09Luís Rosa, Francisco António Borges, Tiago Pinho, Teresa BatistaDOI ↗

Modelling the Potential Environmental and Operational Effects of Autonomous Ship Just-in-Time Arrivals: A Scenario-Based Analysis (opens in a new tab)

This study examines how combining autonomous ships with Just-in-Time (JIT) arrival systems could improve maritime logistics by reducing fuel use and emissions. Analyzing 882 voyages at Portugal’s Port of Sines, it found JIT with autonomous ships cut fuel consumption by 4.92% and greenhouse gas emissions by 4.90%, while improving arrival punctuality by about 1.5 hours. Early arrivals saw the biggest benefits, with fuel use dropping 36.86% and emissions by over 3,180 tCO₂, but late arrivals faced higher fuel costs. Successful implementation requires real-time data, digital infrastructure, and stakeholder collaboration.

09openalex2026-10-27Danielle Luciana Aurora Soares do Amaral, João Gabriel R. N. Ferreira, Rosa M. B. Cavalcanti, Marcelo Merten Cruz +10 moreDOI ↗

Autonomous sampling and eDNA metabarcoding for offshore biodiversity monitoring: a pilot study around an FPSO in the Southwestern Atlantic (opens in a new tab)

This pilot study tested autonomous water sampling combined with eDNA metabarcoding to monitor biodiversity near an offshore FPSO in Brazil’s Santos Basin. Using an uncrewed vessel, researchers collected 64 samples, detecting 34 species with 12S and 28 with 16S markers, covering 65–74% of estimated species richness. Weak spatial differences were found around the FPSO, while short-term temporal variation was high, with taxon turnover driving most dissimilarity. The approach proved feasible for offshore monitoring, recommending repeated sampling to identify persistent ecological changes.

10TNGlobal2026-09-22

Clear Robotics, ReSustainability deploy electric semi-autonomous vessel on Singapore river (opens in a new tab)

Clear Robotics and ReSustainability launched an electric, semi-autonomous vessel on a Singapore river in September 2026. The project aims to demonstrate sustainable and efficient waterway operations. The vessel combines automation with zero-emission technology for urban logistics and environmental monitoring. This deployment marks a step toward modernizing river transport in Singapore.

11crossref2026-03-30Junwei Dong, Ze Sun, Peng Zhang, Jiale Zhang +2 moreDOI ↗

Research on Autonomous Ship Route Planning Based on Time-Dynamic Theta* Algorithm Under Complex and Extreme Sea Conditions (opens in a new tab)

The study introduces a Time-Dynamic Theta* (TDM-Theta*) algorithm to improve autonomous ship route planning in complex and extreme sea conditions. The method combines traditional any-angle path planning with a temporal dimension and incorporates real-time significant wave height as a dynamic constraint. Simulation tests across nine cases showed the algorithm efficiently generates optimal paths in static terrains and achieves 100% proactive risk avoidance in extreme weather scenarios with multiple typhoons, with minimal computational overhead. The research supports real-time safe route decision-making for intelligent ships in volatile maritime environments.

12openalex2026-10-14Kavin Govindarajan, Kaleb Ben Naveed, David Li, Devansh R. Agrawal +4 moreDOI ↗

Clarity-Driven Adaptive Mission Planning for a Solar-Powered Autonomous Surface Vessel (opens in a new tab)

This paper introduces an adaptive mission planning method for solar-powered autonomous surface vessels (ASVs) to optimize scientific data collection. The approach uses a clarity-driven ergodic search, where clarity is a mathematically defined measure tied to information entropy, to prioritize high-interest areas identified during the mission. The system continuously updates its path based on real-time measurements and energy constraints. Simulations and field experiments at Jordan Lake, North Carolina, validate the method’s effectiveness.

13crossref2026-09-17Ahmad Talha, Hafiz Muhammad Usama Hanif, Muhammad MustafaDOI ↗

The Role of AI and Autonomous Systems in Navigating China’s Future Maritime Sustainability and Blue Economy Governance (opens in a new tab)

This study explores how AI, blockchain, and IoT can improve efficiency and sustainability in China’s maritime sector and blue economy. It highlights challenges in governance, including cross-border data transfer and autonomous shipping, while stressing the need for updated laws. The paper provides policy recommendations for international cooperation and legal frameworks to support technological advancements. It also contributes to discussions on marine energy, environmental protection, and offshore industry regulations.

14openalex2026-08-31Denny Darlis, Nurul Fahmi Adani Syam, Aris HartamanDOI ↗

Development of a Solar Autonomous Boat Navigation Guidance System for Future Swarm Unmanned-Surface-Vehicle Implementation (opens in a new tab)

This study developed a solar-powered autonomous boat navigation system for future swarm unmanned surface vehicle (USV) use. The system uses GPS and a digital compass for positioning, controlled by a TTGO ESP32 LoRa microcontroller, transmitting real-time data via LoRa. Testing showed 92% directional accuracy with an average error of 5.4 degrees, demonstrating stable and adaptive navigation. The design provides a scalable foundation for swarm-based environmental monitoring.

15Maritime Fairtrade2026-04-24

Neptune Robotics Invests US$12mn in New Singapore Factory to Drive Five-Fold Increase in Autonomous Ship Hull Cleanings (opens in a new tab)

Neptune Robotics has invested US$12 million in a new factory in Singapore to expand its operations. The facility aims to support a five-fold increase in autonomous ship hull cleanings. This investment is expected to boost the company’s capacity and efficiency in maritime maintenance. The new factory will enhance Neptune Robotics' ability to meet growing demand for robotic hull cleaning services.

16portnews.ru2026-10-22

South Korean province seeks autonomous ship zone off Geoje for Samsung Heavy trials (opens in a new tab)

South Korea’s South Gyeongsang Province has requested approval to designate waters off Geoje Island as an autonomous-ship operating zone, enabling Samsung Heavy Industries to continue sea trials after its current regulatory exemption ends in 2026. The proposed area covers coastal waters near Hansan, Gajo, and Chilcheon islands, with a decision expected by year-end. Samsung Heavy is testing a 12-meter autonomous vessel featuring AI-based navigation, collision avoidance, and sensor systems. The province aims to support the technology while minimizing disruptions to fishing, shipping, and leisure activities.

17openalex2026-10-21Fengde Qu, Yiting Gong, Jingjing Liu, Hongguang Lyu +1 moreDOI ↗

A Review of Ship Path Planning: Models, Algorithms, and Challenges (opens in a new tab)

This paper reviews ship path planning (SPP) advancements, highlighting its role in improving navigation safety and energy efficiency for autonomous ships. It categorizes modeling frameworks, algorithms, and evaluation metrics while addressing challenges like COLREGs compliance, path smoothing, and uncertainty. Hybrid algorithms combining global optimization with real-time local adjustments are identified as the leading solution. Future progress depends on deeper integration of planning with perception, prediction, and control systems.

18crossref2026-04-14Chen-Wei Chen, Jiahao Yin, Jialin Lu, Chin-Yin Chen +2 moreDOI ↗

Dynamic Trajectory Tracking and Autonomous Berthing Control of a Container Ship Based on Four-Quadrant Hydrodynamics (opens in a new tab)

This paper introduces an autonomous berthing control system for large container ships, addressing nonlinear hydrodynamics and maneuvering challenges in restricted waters. It uses a four-quadrant propeller model within an improved MMG framework and a dynamic line-of-sight guidance system paired with PD/PI controllers. Validation against S-175 ship data showed errors under 15%, while simulations for the B-573 ship at Yangshan Port demonstrated a 62% reduction in trajectory error under strong currents. The system achieved smooth deceleration from 6.4 m/s to a full stop in 588 seconds, confirming its feasibility in complex maritime conditions.

19부산일보2026-11-05

“SMR ships, AI autonomous vessels, and green energy transition essential” [20th World Maritime Forum] (opens in a new tab)

The 20th World Maritime Forum highlighted the need for Small Modular Reactor (SMR) ships, AI-driven autonomous vessels, and a transition to green energy in the maritime industry. Experts emphasized these technologies as essential for future shipping efficiency and sustainability. The forum discussed their commercialization and integration into global maritime operations. No specific implementation timelines or technical details were provided.

20뉴스핌2026-10-28

Ministry of Oceans and Fisheries challenges for global autonomous ship leadership, introducing AI in ports to increase productivity by 30% (opens in a new tab)

South Korea’s Ministry of Oceans and Fisheries aims to lead globally in autonomous ship technology. It plans to integrate AI in ports to boost productivity by 30%. The initiative seeks to enhance efficiency and competitiveness in maritime operations. No specific methods or outcomes beyond the productivity target are detailed.

21Riviera Maritime Media2026-10-16

News Content Hub - Fugro secures €150M financing to develop uncrewed vessel technology (opens in a new tab)

Fugro has secured €150 million in financing to develop uncrewed vessel technology. The funding will support the advancement of autonomous and remote-controlled ships. This initiative aims to enhance maritime operations through innovative and sustainable solutions. The project reflects growing investment in next-generation marine technology.

22openalex2026-09-22Vladislav Maras, Cyril Alias, Aleksandar Radonjić, Danijela Pjevčević +2 moreDOI ↗

Rethinking Port Charges in the Age of Autonomous Shipping (opens in a new tab)

The paper examines how autonomous motor cargo vessels (aMCVs) will transform inland waterway transport, necessitating updates to outdated port charging models. Current pricing systems may unfairly disadvantage aMCVs despite their efficiency, as they rely on assumptions misaligned with autonomous operations. The study analyzes technological, economic, and regulatory factors, highlighting the need for resource-based pricing models to incentivize efficiency, sustainability, and safety. Digital platforms and actual infrastructure use are identified as key elements for future port charge calculations.

23Baird Maritime2026-09-16

Sail-powered autonomous vessel completes solo trans-Atlantic crossing from Canary Islands to Barbados (opens in a new tab)

A sail-powered autonomous vessel successfully completed a solo trans-Atlantic crossing, traveling from the Canary Islands to Barbados. The achievement marks a milestone in unmanned maritime navigation. No crew was onboard during the voyage. The project demonstrates advancements in autonomous sailing technology.

24crossref2026-09-15Bo Wu, Zuyuan Liu, Jiajun Wang, Weihao Ma +1 moreDOI ↗

Energy–Time Co-Optimization for Autonomous Ship Berthing in Complex Ocean Currents Using an Improved hp-Pseudospectral Optimal Method (opens in a new tab)

This paper introduces an improved hp-pseudospectral (IHP) method for optimizing autonomous ship berthing paths in complex ocean currents. Unlike traditional methods, it avoids assuming constant surge velocity or thrust, enabling simultaneous optimization of speed and energy consumption. The IHP method divides time intervals, uses subdomain collocation, and transforms optimization to achieve Pareto-optimal paths. Simulations show it outperforms A* and genetic algorithms, reducing travel distance, sailing time, and energy consumption by up to 6.9%.

25openalex2026-05-07Barbara StępieńDOI ↗

Next-generation autonomous vessels and the IMO's decarbonization goals (opens in a new tab)

The paper examines how next-generation autonomous vessels may affect the International Maritime Organization’s (IMO) decarbonization goals. It analyzes environmental challenges and potential benefits of autonomous ships in reducing climate impact. The study highlights the need for IMO’s decarbonization strategies to align with technical evaluations and feasibility assessments. Adoption of environmental regulations for these vessels must be grounded in validated research.

26Smart Maritime Network2026-11-06

Jiangsu Ocean Shipping to trial autonomous tech on inland vessels (opens in a new tab)

Jiangsu Ocean Shipping is testing autonomous technology on two 120 TEU electric container ships, *Jiangyuan Jinling* and *Jiangyuan Qinhuai*, along an 80 km stretch of the North Jiangsu Canal. The vessels will use radar, AIS, and high-definition sensors to navigate varying conditions, including bends and bridges, with tailored navigation settings for each environment. The project aims for 90% object recognition accuracy and expects autonomous navigation to cover at least one-third of the trial distance. A digital twin and shore-based interface will assist with voyage planning, risk alerts, and port coordination.

27crossref2026-06-23Minji Kim, Gwangho Yun, Hwasup Jang, Jaecheul ParkDOI ↗

A Machine Learning Operations Framework for Self-Adaptive Anomaly Detection in Autonomous Surface Ships Under Data Drift (opens in a new tab)

This paper introduces a machine learning operations (MLOps) framework for real-time anomaly detection in autonomous surface ships, focusing on engine conditions. The system uses a hybrid model combining an attention LSTM autoencoder and isolation forest to detect subtle anomalies across engine components. To handle data drift, an onboard MLOps pipeline monitors sensor data shifts and autonomously retrains models when performance drops. Tests on a fault simulation testbed show the system maintains detection reliability under changing conditions.

28openalex2026-04-28Adesegun Nurudeen Osijirin, Victor Utibe Edmond, Shamsudeen Mohammed Sada, Rafal SzlapczynskiDOI ↗

Risk-Aware Deep Learning Method for Compressing Vessel AIS Trajectories (opens in a new tab)

This paper introduces a risk-aware deep learning method to compress vessel AIS trajectory data, addressing storage, transmission, and processing challenges. The approach uses LSTM models with attention mechanisms and a risk assessment framework to prioritize high-risk segments, such as areas with vessel proximity or hazards. The method achieves a 7.5 compression ratio while retaining 95% of safety-critical features, outperforming traditional techniques. Future work will focus on real-time deployment, federated learning, and integrating additional maritime data sources.

29openalex2026-10-01Marko Perkovič, Ivica Pavić, Maciej Gucma, Sebastian Feuerstack +1 moreDOI ↗

Maritime Security and Risk Assessments—2nd Edition: From Risk Identification to Decision Support and System Resilience (opens in a new tab)

This paper updates maritime security research, addressing challenges from digitization, automation, cyber-physical risks, and geopolitical threats. It expands on risk identification, decision-making, and system resilience, covering collision-risk sensing, human-technology interaction, and port safety. The studies highlight gaps like limited validation, incomplete causal analysis, and weak cross-scale integration. Effective implementation demands trustworthy data, uncertainty management, and coordinated response plans for cyber-physical and security failures.

30crossref2026-09-07Yingying Wang, Fan Zhang, Wenru Zhang, Yihao Liu +2 moreDOI ↗

AIS-Based Forecasting of STEAM-Estimated Ship CO2 Emissions for Sustainable Maritime Transportation Using a Spatio-Temporal Graph Transformer (opens in a new tab)

This study introduces the Carbon-oriented Spatio-Temporal Graph Transformer (C-STGT) to forecast ship CO₂ emissions using AIS data. The model combines temporal learning, vessel-specific attributes, and emission-focused attention to improve accuracy. Tested on five containerships, C-STGT achieved an RMSE of 0.89, MAE of 0.51, WAPE of 3.11%, and R² of 0.96, outperforming ten baseline models. The approach aims to enhance real-time carbon monitoring and support maritime decarbonization efforts.

31openalex2026-07-20Nizirwan Anwar Tomy RonaldiDOI ↗

LONG-TERM OPERATIONAL MODEL OF AUTONOMOUS UNDERWATER VEHICLES (AUV) FOR MARITIME DEFENSE AND SECURITY (opens in a new tab)

This study proposes a long-term operational model for Autonomous Underwater Vehicles (AUVs) to improve maritime defense and security. It focuses on optimizing deployment, endurance, and navigation by integrating AI-based systems, energy-efficient propulsion, and acoustic communication. Findings show these technologies enhance AUV performance but face challenges like high costs, environmental limits, and cybersecurity risks. The research recommends local manufacturing and system interoperability to support Indonesia’s maritime surveillance.

32Digital Ship2026-07-09

RAD secures £4.4m to expand autonomous vessel systems and electric propulsion portfolio (opens in a new tab)

RAD has secured £4.4 million in funding to expand its autonomous vessel systems and electric propulsion offerings. The investment will support the development and growth of its technology portfolio in these areas. The company aims to advance maritime automation and sustainable propulsion solutions. No specific projects or timelines were detailed in the announcement.

33Puente de Mando2026-06-18

First Voyage of the Electric and Autonomous Ship “Yara Birkeland” (opens in a new tab)

The electric and autonomous ship *Yara Birkeland* completed its first operational voyage in June 2026. The vessel is designed for zero-emission cargo transport, operating without a crew. This milestone marks a step toward sustainable and automated maritime shipping. The project aims to reduce emissions and improve efficiency in short-sea shipping.

34매일경제2026-06-08

‘Autonomous ships could slash fuel costs’... HJ Heavy Industries teams up with HD Hyundai to begin development (opens in a new tab)

HJ Heavy Industries and HD Hyundai are collaborating to develop autonomous ships. The initiative aims to reduce fuel costs through the use of autonomous technology. Development efforts have officially begun as of this partnership. The project was announced by 매일경제 on June 8, 2026.

35Marine Insight2026-05-25

Germany’s New Floating Lab MODULARIS To Test Future Autonomous Ship Tech, Propulsion Systems (opens in a new tab)

Germany has launched MODULARIS, a new floating laboratory designed to test autonomous ship technologies and advanced propulsion systems. The facility will serve as a research platform for future maritime innovations. The project aims to accelerate the development of smart and sustainable shipping solutions. No specific testing results or methods have been disclosed yet.

36TNGlobal2026-04-20

Neptune Robotics invests $12M in new Singapore factory to boost autonomous ship hull cleanings (opens in a new tab)

Neptune Robotics has invested $12 million in a new factory in Singapore to expand its production of autonomous systems for ship hull cleaning. The facility aims to increase the company’s capacity to meet growing demand for robotic hull maintenance. This investment supports efforts to improve efficiency and reduce environmental impact in maritime operations. The factory is expected to enhance Neptune Robotics’ global service capabilities.

37데일리로그2026-10-28

Ministry of Oceans and Fisheries to boost port productivity by 30% with AI, challenging for global autonomous ship leadership (opens in a new tab)

South Korea’s Ministry of Oceans and Fisheries plans to increase port productivity by 30% using AI technology. The initiative also aims to position the country as a global leader in autonomous ship operations. The effort focuses on integrating AI-driven solutions to enhance efficiency in maritime logistics. No specific implementation timeline or methods were detailed in the announcement.

38Εν Άνδρω2026-10-20

Maritime drones: Unmanned vessels that travel 1,000 miles with minimal energy! Could they be seen in the Aegean? (opens in a new tab)

Unmanned maritime drones can travel up to 1,000 miles using minimal energy. The article explores their potential deployment in the Aegean Sea. These vessels are designed for efficiency and long-range operations. Their feasibility in the region is under consideration.

39The Business Times2026-09-29

Green fuels, autonomous ships, new skills: How Singapore is future-proofing its shipping industry (opens in a new tab)

Singapore is preparing its shipping industry for the future by focusing on green fuels, autonomous ships, and workforce upskilling. The country is investing in sustainable alternatives like ammonia and hydrogen to reduce emissions. Efforts also include developing autonomous vessel technology and training workers in digital and green skills. These measures aim to maintain Singapore’s competitiveness in global maritime trade.

40rivieramm.com2026-09-17

GasTech 2026 sees deals for new vessel designs, autonomous navigation and wind-assisted propulsion (opens in a new tab)

GasTech 2026 featured agreements for innovative vessel designs, including advancements in autonomous navigation and wind-assisted propulsion systems. The event highlighted industry commitments to modernizing shipping technology. New partnerships and contracts were announced to develop these sustainable and efficient solutions. The focus was on reducing emissions and improving operational capabilities in maritime transport.

41openalex2026-08-01Yu Cai, Ying Li, L. Zhang, Jun SongDOI ↗

Dual-Agent Hierarchical Reinforcement Learning for Typhoon-Avoidance Route Planning of Ships Under Dynamic Wind–Wave–Current Fields (opens in a new tab)

This study introduces a dual-agent hierarchical reinforcement learning framework (HRL-MOO) to improve typhoon-avoidance ship routing under dynamic wind, wave, and current conditions. The model uses a global agent to assess large-scale environmental risks and a local agent to adjust short-term vessel movements, incorporating real-world bathymetric constraints. Simulations of Typhoon Yagi (2024) show the approach reduces environmental risk, improves path smoothness, and speeds up training convergence compared to single-agent methods. Ablation studies confirm the benefits of combining macro-level risk assessment with adaptive multi-objective optimization.

42openalex2026-05-15Satoshi KawauchiDOI ↗

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.

43crossref2026-04-22Rajesh Patil, Magnus LöfstrandDOI ↗

A Safety-Constrained Multi-Objective Optimization Framework for Autonomous Mining Systems: Statistical Validation in Surface and Underground Environments (opens in a new tab)

This paper presents a unified, safety-constrained optimization framework for autonomous mining systems, integrating sensor fusion, edge intelligence, and digital twin-based decision support for surface and underground environments. The approach uses mathematical modeling and multi-objective optimization to improve vehicle dynamics, drilling mechanics, and fleet coordination under GNSS-denied and extreme Nordic conditions. Validation through Monte Carlo simulations and statistical testing showed productivity gains of ~24.3%, energy reductions of ~12.8%, and safety risk decreases of ~48.6% compared to baseline systems. Key performance drivers identified include localization accuracy, communication delay, and optimization weighting.

44crossref2026-04-08Elizabeth A. Suter, Christine Santora, Elizabeth T. Sciorilli, Natalia Benejam +10 moreDOI ↗

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.

45openalex2026-10-13Yongjie Zhu, Rongyao Wang, Jingwei Xu, Xiuquan Liu +2 moreDOI ↗

An improved A* algorithm and its application in path planning for unmanned surface vehicles (opens in a new tab)

The paper introduces an enhanced A* algorithm for path planning in unmanned surface vehicles (USVs) used for inland-river garbage collection, addressing both static and flowing water environments. In static conditions, the method optimizes for shortest path, time, and energy consumption, while in flowing water, it incorporates flow direction into its heuristic and uses a velocity-based energy model. Simulations demonstrate a 3.5% energy reduction with the minimum-energy path compared to the shortest-path approach. The improved A* algorithm outperforms RRT and PRM in optimality, efficiency, and adaptability across various river channels.

46openalex2026-10-29Shaffiyah Cantika Kamia, Suharyono Soemarwoto Hadiningrat, Jones Zenas Rante, Rudianto Rudianto +1 moreDOI ↗

The Implementation of Unmanned Lighthouse Systems in Indonesia: Opportunities, Challenges, and Lessons from the Class II Type A Navigation District of Banjarmasin (opens in a new tab)

This study explores the adoption of Unmanned Lighthouse Systems in Banjarmasin, Indonesia, highlighting benefits like a projected 40% cost reduction, improved safety, and compliance with IMO and IALA standards. Challenges include environmental constraints, regulatory gaps, digital skill shortages, unreliable power and telecoms, and cybersecurity risks. Researchers used interviews, observations, and document analysis to develop a three-phase implementation roadmap. The findings offer a socio-technical framework for modernizing maritime navigation in developing nations.

47openalex2026-09-12Hamed Majidiyan, Gholam Reza Emad, TR Islam, Mohan AnantharamanDOI ↗

Physics-guided machine-learning surrogate for AIS-based ship fuel-consumption inventory—part a: Framework development and diagnostic evaluation (opens in a new tab)

This study introduces a physics-guided machine-learning model to estimate ship fuel consumption, combining operational, environmental, and hydrodynamic factors. The model, trained on synthetic data from a resistance-to-power chain, outperformed existing methods (STEAM2, IMO, and STEAM) with a −3.22% aggregate error across five voyages of a 197 m bulk carrier. Diagnostic evaluations showed errors were linked to limited directional wave data and underrepresented added-wave resistance. The framework offers a computationally efficient, vessel-specific approach for fuel estimation while highlighting the need for improved physics fidelity.

48Unmanned Systems Technology2026-07-16

RAD Secures £4.4 Million for Autonomous Vessel Systems & Electric Propulsion (opens in a new tab)

RAD has secured £4.4 million in funding to develop autonomous vessel systems and electric propulsion technology. The investment will support advancements in unmanned maritime solutions. The focus is on enhancing automation and sustainability in marine operations. No specific project details or timelines were provided in the announcement.

49Ocean News & Technology2026-07-08

RAD Secures Funding To Scale Autonomous Vessel Technology And Electric Propulsion (opens in a new tab)

RAD has secured funding to expand its autonomous vessel technology and electric propulsion systems. The investment will support scaling these innovations for broader maritime applications. The focus is on advancing both self-navigating ships and eco-friendly propulsion. No specific funding amount or partners were disclosed in the announcement.

50crossref2026-06-11Laura M. EshelmanDOI ↗

Celestial navigation for autonomous systems in GPS contested environments (opens in a new tab)

SkyPASS is a celestial navigation sensor by Polaris Sensor Technologies that enables autonomous systems to operate in GPS-denied environments. It uses star-field imaging, solar/lunar tracking, and polarization-based sensing to provide continuous, passive navigation for ground, air, and sea applications. Real-time algorithms fuse celestial data with inertial and environmental sensors to prevent drift and maintain accuracy under dynamic conditions. Testing across ground, airborne, and maritime platforms demonstrated reliable performance despite partial sky occlusion and magnetic interference.

51Marine Log2026-06-02

Fleetzero, Thoma-Sea and Glosten team up on autonomous vessel solutions (opens in a new tab)

Fleetzero, Thoma-Sea, and Glosten have partnered to develop autonomous vessel solutions. The collaboration aims to advance maritime technology for uncrewed ship operations. The initiative focuses on integrating innovative designs and systems for future shipping needs. No specific technical details or outcomes were provided in the announcement.

52openalex2026-06-01Gines Yanez-Saura, Rosa M. Fernandez-Canti, German de MeloDOI ↗

MSB for Autonomous Power Plant with SEFR circuit breakers (opens in a new tab)

This paper examines the critical role of Main Switch Boards (MSBs) in autonomous ships, focusing on power management, generation, and distribution to ensure uninterrupted operation. It introduces SEFR (Safety, Effectiveness, and Reliability) contacts, which must meet specific electrical and mechanical standards to prevent supply failures. The study categorizes contacts into three criticality levels: Level 1 (non-essential), Level 2 (essential), and Level 3 (vessel survival-dependent), with varying redundancy and control measures. The SEFR framework is applied to design MSB supply lines, ensuring continuous power for autonomous vessels.

53openalex2026-04-23Silvia Carpitella, Antonella Certa, Cinzia Muriana, Costanza Laura ParlapianoDOI ↗

Decision-making tools enabling sustainable maintenance strategies of naval systems: a comparison of multi-criteria approaches (opens in a new tab)

This study compares multi-criteria decision-making tools to prioritize failure modes in naval systems for sustainable maintenance. It applies the Analytic Hierarchy Process (AHP) alone and combined with ELECTRE I to rank failure modes using criteria like Severity, Occurrence, Detection, Economic Factor, Sustainability Maintenance Strategies, and Management and Data Security. The top-ranked failure modes from both methods are compared to identify similarities and differences. A sensitivity analysis assesses the robustness of the results.

54Riviera Maritime Media2026-10-16

Fugro secures €150M financing to develop uncrewed vessel technology (opens in a new tab)

Fugro secured a €150M unsecured financing facility from the European Investment Bank (EIB) to develop and deploy uncrewed surface vessels (USVs) and remote operations technology. The funding, available until 2031, supports phased expansion of remote capabilities, aiming to improve safety, efficiency, and reduce carbon emissions in offshore survey work. Fugro also extended its existing €500M senior debt facilities by two years to 2031, ensuring long-term financing for digital maritime technology. The investment targets offshore wind, oil and gas, and subsea cable projects, enabling reduced offshore personnel through remote and uncrewed operations.

55Shipping Telegraph2026-09-03

Autonomous roro vessel wins green light from Japan (opens in a new tab)

Japan has approved the operation of an autonomous roll-on/roll-off (roro) vessel. The vessel, designed for cargo transport, marks a step forward in maritime automation. Regulatory clearance allows it to begin commercial service. This development reflects Japan’s push toward advanced shipping technologies.

56Future 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.

57crossref2026-06-09Hyunju Lee, Jaehee Jung, Joon-Woo RohDOI ↗

Improving Long-Range Significant Wave Height Forecasts for Maritime Energy Efficiency: A Residual U-Net Approach Validated with Real-Ship Fuel Consumption Data (opens in a new tab)

This study introduces a Residual U-Net deep learning model to enhance long-range significant wave height (SWH) forecasts from WAVEWATCH III (WW3), using CMEMS reanalysis data as a reference. The corrected forecasts (WW3_UNET) showed better alignment with real-ship fuel consumption data and onboard wave observations from a 2025 South Atlantic voyage compared to raw WW3 outputs. At a 168–180 hour lead time, WW3_UNET achieved a 0.720 correlation with fuel consumption, nearly matching the 0.736 correlation from onboard measurements. The approach aims to improve maritime energy efficiency and decarbonization through more accurate wave predictions for weather routing.

58openalex2026-10-12Oluchi Jane Jide-BelloDOI ↗

The Future of the Law of the Sea: Emerging Challenges and the Niger Delta in a Changing Maritime Order (opens in a new tab)

This paper explores how climate change, biodiversity loss, deep-seabed activities, and geopolitical competition are reshaping the international law of the sea, focusing on UNCLOS’s adaptability. It highlights the Niger Delta as a case study where maritime law intersects with pollution, fisheries, and security challenges. The study argues that UNCLOS remains central but requires updated interpretations, new treaties, and stronger domestic enforcement. Recent agreements like the BBNJ and IMO’s MASS Code show the legal framework evolving rather than being replaced.

59openalex2026-09-08Samira Alkaee Taleghan, Younghyun Koo, Farnoush Banaei‐KashaniDOI ↗

An Autonomous GeoAI Agent for Arctic Eco-Navigation (opens in a new tab)

This paper presents a multi-agent GeoAI system for Arctic eco-navigation that balances vessel safety, efficiency, ecological protection, and community impacts. The system integrates operational, physical, ecological, and social criteria, using specialized agents to process geospatial data, generate multi-objective routes, and provide decision support. It explicitly accounts for sensitive habitats like Essential Fish Habitat and seal critical areas while keeping human oversight for value-based decisions. The framework aims to improve transparency and social responsibility in Arctic maritime routing.

60openalex2026-08-25Liantin Gao, Juan Lu, Yuefei Wang, Qiang Yan +5 moreDOI ↗

Development of a controller for autonomous berthing and unberthing of intelligent ships with large-angle attitude maneuvering based on Lyapunov method (opens in a new tab)

This paper presents a control framework for autonomous berthing and unberthing of a 5000-ton inland cargo ship, addressing challenges like environmental disturbances, precise attitude control, and energy efficiency. A Lyapunov-based controller with time-varying gains and sliding-mode terms stabilizes roll, pitch, and yaw within 10–15 seconds in simulations under strong wind, wave, and current disturbances. The system integrates SLAM mapping, visual recognition, and dynamic obstacle avoidance to generate safe, smooth, and energy-optimal trajectories. Compared to traditional methods, it reduces control energy consumption while providing theoretical support for real-world applications.

61finance.biggo.com2026-07-24

Samsung Heavy Industries Secures US LNG Bunkering Vessel Approval, Expands 'Shipbuilding Alliance' to Unmanned Surface Vessels (opens in a new tab)

Samsung Heavy Industries received approval from U.S. authorities for its LNG bunkering vessel design. The company is expanding its "Shipbuilding Alliance" to include unmanned surface vessels. This move aims to strengthen its position in advanced maritime technology. The approval marks progress in adopting cleaner fuel solutions for shipping.

62Les Echos2026-10-30

Circeo wants to put data centers on autonomous sail-powered vessels (opens in a new tab)

Circeo plans to deploy data centers on autonomous sail-powered vessels. The company aims to reduce energy costs and carbon emissions by using wind propulsion. These floating data centers would operate at sea, leveraging renewable energy. The concept targets sustainability in the tech industry.

63openalex2026-08-17Xinjian WangDOI ↗

Advancements in Maritime Safety and Risk Assessment (opens in a new tab)

The paper discusses the growing importance of maritime safety and risk assessment due to trends like larger vessels, busier shipping routes, and the adoption of cleaner fuels and autonomous navigation. It highlights the shift toward data-driven decision support systems in the industry. The focus is on addressing emerging challenges in safety and risk management. The work reflects advancements in response to evolving maritime operations.

64openalex2026-08-10Kiki Johanna Alberdina Bink, Bülent Düz, Gabriel D. WeymouthDOI ↗

Autonomous sailing with sim-to-real reinforcement learning (opens in a new tab)

This study applies reinforcement learning (RL) to autonomous sailing to reduce maritime emissions. RL agents were trained in simulations using domain randomization to improve adaptability and tested on a robotic sailboat in real-world conditions. Key differences between simulation and reality, such as actuator latency, were identified. The RL agents performed similarly to traditional controllers while demonstrating advanced maneuvers like roll tacking.

65PR Newswire2026-06-02

Fleetzero, Thoma-Sea, and Glosten Announce Collaboration to Deliver Long-Duration Autonomous Vessels (opens in a new tab)

Fleetzero, Thoma-Sea Marine Constructors, and Glosten announced a collaboration to develop long-duration autonomous vessels. The partnership aims to design and deliver electric-powered ships capable of extended, unmanned operations. The project focuses on advancing maritime autonomy and sustainable shipping solutions. No specific timelines or technical details were disclosed in the announcement.

66Marine News Magazine2026-06-02

Fleetzero, Thoma-Sea, Glosten Announce Deal on Autonomous Vessels (opens in a new tab)

Fleetzero, Thoma-Sea Marine Constructors, and Glosten have announced a partnership to develop autonomous electric cargo vessels. The collaboration aims to design and build zero-emission ships for short-sea shipping routes. The deal focuses on integrating Fleetzero’s battery-electric technology with Glosten’s naval architecture and Thoma-Sea’s shipbuilding expertise. The initiative targets decarbonizing maritime transport.

67openalex2026-04-27L. Miozza, M. Gerolin, A. Moro, G. Avanzato +10 moreDOI ↗

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.

68openalex2026-04-27J. Nelson, M. Leber, R. Ramos, M. P. Scherer +2 moreDOI ↗

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.

69openalex2026-04-27A. I. OluwoDOI ↗

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.

70openalex2026-04-06Zongrui Hao, Z. Ping, K. Li, J. Xu +3 moreDOI ↗

An Investigation on Wake Control Mechanism and Performance Optimization of the Flow-interrupting Plate in Unmanned Sailing Vessels (opens in a new tab)

This study examines the use of stern-mounted flow-interrupting plates to reduce wake disturbances in unmanned sailing vessels, which impact efficiency and stealth. Using CFD simulations with the SST k–ω turbulence model and VOF method, researchers tested varying plate angles and positions. A 2.5° inclination and 10 mm waterline distance minimized vortex diffusion, cut wake height, and limited added resistance to ~4 N. The plate achieved wave height reductions of up to 57.08% in downstream regions, offering a practical solution for wake suppression and stealth optimization.

71crossref2026-10-19Abeeb Akorede Bello, Sreedhar Madichetty, Bonginkosi Thango, Abdelkader El KamelDOI ↗

Hybrid Vision Perception for Low-Cost Autonomous Vehicle Navigation (opens in a new tab)

This paper presents a low-cost autonomous vehicle navigation system using only a monocular camera. It integrates Canny edge detection, ArUco markers, and YOLOv4 for boundary detection, localization, and object detection, respectively. The combined approach was tested on a four-wheel electric vehicle, demonstrating effective navigation under varying visual conditions. Results show the system provides useful localization and obstacle detection without expensive sensors.

72openalex2026-08-05Xin Xiong, Rudy R. Negenborn, Yusong PangDOI ↗

Hydrodynamics-aware formation control for energy-efficient multi-vessel systems: A review (opens in a new tab)

This review analyzes 193 studies on hydrodynamics-aware formation control for energy-efficient multi-vessel systems, highlighting the challenge of integrating hydrodynamic resistance reduction into real-time control. It categorizes research into five evidence levels, comparing models like CFD, potential-flow, and surrogates for real-time use, differentiability, and compatibility with model predictive control (MPC). While evidence from CFD and experiments exists, closed-loop validation addressing hydrodynamics, energy metrics, and real-world constraints remains limited. Key priorities include developing control-ready hydrodynamic models, propulsion-aware energy accounting, and field validation for practical deployment.

73openalex2026-08-03Nicholas J. Nidzieko, Paige HoelDOI ↗

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.

74openalex2026-05-22Aud M. Wahl, Marte F. Giskeødegård, Bjarne G. Pareliussen, G LamvikDOI ↗

Maintenance management in shipping: the intricate interplay between organizations, technology, and humans (opens in a new tab)

This study examines how digital technology impacts maintenance management in shipping, based on input from 14 Norwegian companies. It identifies benefits like improved efficiency, data integration, and real-time collaboration but also challenges such as system compatibility, data ownership, and workforce resistance. Concerns include shifting power dynamics, reduced crew autonomy, and skill gaps in digital competencies. The authors stress the need for holistic planning, change management, and cultural adaptability to balance technology with organizational and human factors.

75openalex2026-04-10Ho-Chih Cheng, Min-Chie Chiu, Ming-Guo HerDOI ↗

Optimization of a Ship-Based Three-Magnet Energy Harvester Using Wave Excitation via the Flower Pollination and Simulated Annealing Algorithms (opens in a new tab)

This study explores a ship-based energy harvester using wave-induced vibrations to power offshore underwater sensors. A three-magnet system, mounted above sea level for safety and simplicity, converts wave motion into electrical energy. Optimization via the flower pollination and simulated annealing algorithms improved power output, achieving up to 0.1943 W under tested wave conditions (3.0 m/s speed, 0.4 m amplitude, 2.0 m wavelength). The system’s design avoids underwater risks and shows promise as a sustainable power source for marine equipment.

76Ouest-France2026-10-30

Circeo imagines an autonomous trimaran to host tomorrow's data centers (opens in a new tab)

A French company, Circeo, is proposing an autonomous trimaran (a three-hulled vessel) to house future data centers. The concept aims to address land scarcity and cooling challenges by leveraging ocean-based infrastructure. The design focuses on sustainability and self-sufficiency, though no operational prototypes have been deployed yet. The project reflects growing interest in offshore data storage solutions.

77openalex2026-10-06Dionisis Kalogeropoulos, Georgia Sovatzidi, Panagiotis G. Kalozoumis, Δημήτρης Κ. ΙακωβίδηςDOI ↗

Explainable Failure Prediction and Prevention in Maritime (opens in a new tab)

This paper reviews AI and machine learning technologies for explainable failure prediction and prevention in maritime systems, addressing challenges in safety and reliability. It proposes a conceptual architecture combining data acquisition, anomaly detection, risk assessment, and explainable AI to support autonomous or human-in-the-loop interventions. The study analyzes existing maritime research, noting limitations in data availability, model generalization, and operational deployment. Key challenges include improving robustness, explainability, and trust in AI-assisted maritime decision-making.

78openalex2026-10-03Neng Sri Komala, Nur Zaeni, Uti Indrawati LestariDOI ↗

Ship Safety Analysis in Indonesia: Determining Crew Competence, Port Digitalization and Ship Technology Innovation (opens in a new tab)

This study examines ship safety in Indonesia by analyzing crew competence, port digitalization, and ship technology innovation. Using a systematic literature review of 50 articles (2021–2026), it finds these factors significantly improve safety outcomes like seaworthiness and risk control. The research relies on qualitative methods, including data reduction and thematic analysis. Limitations include the absence of direct quantitative statistical validation.

79openalex2026-09-28Marvin Roshan Crompton Ramesh, Aqsa Yaseen, Inga Zaitseva-Pärnaste, Pentti KujalaDOI ↗

Towards Autonomy Crew Transfer and Service Vessels in Offshore Wind Farms: Technologies, Challenges, and Research Gaps (opens in a new tab)

This paper reviews technologies and challenges for autonomous Crew Transfer Vessels (CTVs) and Service Operation Vessels (SOVs) in offshore wind farms. It highlights gaps in current manual operations, limited validation of autonomous systems, and the potential for improved efficiency, safety, and cost reduction. Key advancements in sensors, automation, and risk assessment are discussed, along with operational hurdles. The authors outline research priorities to advance autonomous vessel development.

80Chosunbiz2026-07-24

Korea backs shipbuilders to adopt domestic green, autonomous equipment - CHOSUNBIZ (opens in a new tab)

South Korea is supporting its shipbuilding industry in adopting domestically produced green and autonomous equipment. The government aims to boost the sector's competitiveness by encouraging the use of eco-friendly and self-operating technologies. This initiative is part of broader efforts to advance the country's maritime and shipbuilding capabilities. The focus is on reducing emissions and improving efficiency through innovation.

81openalex2026-07-01Jingfeng Liu, Runze Mao, Ruihan Chen, Houxiang Zhang +1 moreDOI ↗

Wind-propelled ships for maritime decarbonization: Technologies, global deployment, and engineering challenges (opens in a new tab)

This paper reviews wind propulsion as a solution for decarbonizing commercial shipping amid stricter regulations. It compiles data on 96 wind-propelled ships (90 still in service by late 2025), analyzing deployment by region, ship type, and propulsion role. Five key wind propulsion systems—Flettner rotors, suction wing sails, rigid wing sails, soft sails, and kite sails—are compared for adoption and integration. Technical challenges like efficiency, safety, and economic viability, along with policy and industry guidance, are also examined.

82Smart Maritime Network2026-11-04

Hyundai Heavy develops AI system for ship coating inspections (opens in a new tab)

Hyundai Heavy Industries has developed an AI system to inspect ship coatings. The technology aims to improve the accuracy and efficiency of coating quality assessments. This system is expected to enhance maintenance processes in the maritime industry. No specific performance metrics or implementation timelines were provided.

83en.vneconomy2026-11-02Vietnam Economic Times

Buoying strategic maritime autonomy (opens in a new tab)

Vietnam’s marine industry extends beyond shipbuilding to include ship repair, offshore structures, robotics, sensors, and aquaculture equipment, requiring a broad industrial base to support maritime activities. The country’s long coastline, expanding ports, and diverse maritime sectors—such as shipping, oil and gas, and fisheries—provide advantages but demand self-sufficiency in technology and equipment. Strengthening support industries like steelmaking, electronics, and automation is critical for economic and strategic autonomy. By 2045, Vietnam aims to build an integrated maritime ecosystem, leveraging domestic demand and specialized coastal clusters to compete globally.

84해양레저신문2026-10-30

AI-powered autonomous robot wins innovation award for detecting and collecting marine litter (opens in a new tab)

An AI-powered autonomous robot won an innovation award for its ability to detect and collect marine litter. The robot operates independently, identifying and retrieving ocean waste. The technology was recognized for its potential to address environmental pollution. The award highlights advancements in robotic solutions for marine conservation.

85국민일보2026-10-25

Busan pushes for eco-friendly, South Gyeongsang for AI, Ulsan for autonomous navigation... Shipbuilding industry restructuring underway (opens in a new tab)

South Korea’s shipbuilding industry is undergoing regional restructuring, with Busan focusing on eco-friendly technologies, South Gyeongsang prioritizing AI integration, and Ulsan specializing in autonomous navigation. Each region is aligning its efforts to strengthen competitiveness in different sectors of the industry. The shift aims to optimize resources and expertise across the country. The restructuring initiative was reported by *국민일보* on October 25, 2026.

86ProtoThema2026-10-18

Researchers at NCSR Demokritos design marine drone to collect sea waste (opens in a new tab)

Researchers at Greece’s NCSR Demokritos are developing a marine drone designed to collect sea waste. The project aims to address pollution by autonomously gathering debris from the ocean. No operational details or testing results have been released yet. The initiative reflects efforts to use technology for environmental cleanup.

87데일리뉴스2026-10-17

AI in Shipbuilding: 1.4 trillion Won Key Lies in 'Data Connection' Linking Design to Robots and Autonomous Navigation (opens in a new tab)

The article highlights a 1.4 trillion won initiative in shipbuilding, emphasizing the critical role of "data connection" in integrating AI across the entire process. This includes linking design phases with robotic systems and autonomous navigation technologies. The focus is on creating seamless data flow to enhance efficiency and innovation in the industry. No specific methods or outcomes beyond the emphasis on data integration are detailed.

88해사신문2026-10-13

K-shipbuilding invests 1.4 trillion in AI transformation—expanding beyond autonomous navigation to shipyards and equipment (opens in a new tab)

K-shipbuilding will invest 1.4 trillion KRW to advance AI transformation across its operations. The initiative extends beyond autonomous navigation to include shipyards and equipment. The company aims to expand the adoption of its M.AX AI platform. The investment reflects a broader push to integrate AI into multiple facets of shipbuilding.

89열린뉴스통신2026-10-12

From eco-friendly ships to AI autonomous navigation: '2026 International Marine Energy Plant Expo' opens on the 14th (opens in a new tab)

The *2026 International Marine Energy Plant Expo* will open on October 14, 2026, showcasing advancements in eco-friendly ships and AI-powered autonomous navigation. Organized by 열린뉴스통신, the event highlights innovations in marine energy and plant technologies. The expo aims to present cutting-edge solutions for sustainable and intelligent maritime operations. No specific exhibitors or detailed outcomes are mentioned.

90crossref2026-10-08V. I. UzorDOI ↗

Contribution of Ship Berthing to Surface Water Pollution in Selected Harbours in Rivers State (opens in a new tab)

This study examined how ship berthing affects water pollution in five ports in Rivers State, Nigeria, using physicochemical and biological measurements over three months. Water samples showed high levels of pollutants, including Biochemical Oxygen Demand (36.9–48.6 mg/L), Chemical Oxygen Demand (151.6–186.4 mg/L), and coliform bacteria (1,510–2,860 MPN/100 mL), all exceeding regulatory limits. Pollution varied significantly between ports, with ballast water also contributing to contamination. The findings highlight the need for stricter regulations and better harbor management to reduce pollution from shipping activities.

91한국일보2026-09-30

Strengthening AI, eco-friendly, and autonomous navigation technologies... Leading the future ship market (opens in a new tab)

The article discusses advancements in AI, eco-friendly, and autonomous navigation technologies to lead the future ship market. It highlights efforts to strengthen these technologies in South Korea. The focus is on improving efficiency and sustainability in maritime operations. The developments aim to position the country as a leader in next-generation shipbuilding.

92이코노미톡뉴스2026-09-23

HMM expands AI autonomous shipping fleet, saving fuel with 0.1-degree fine adjustments (opens in a new tab)

HMM has expanded its AI-powered autonomous shipping fleet, achieving fuel savings through 0.1-degree fine adjustments in navigation. The company reports improved efficiency by leveraging precise AI-driven course corrections. This advancement supports HMM’s broader efforts to enhance operational sustainability. No specific fuel reduction figures were provided.

93openalex2026-08-18Ellen Bjørge Ekse, Bjarne Pareliussen, Victor OwolojaDOI ↗

A state-of-the-art review on crew competence in maritime and nuclear remote operations (opens in a new tab)

This paper reviews crew competence in remote maritime and nuclear operations, focusing on small modular reactor (SMR) propulsion for ships to cut greenhouse gas emissions. It examines how operator competence is understood in both fields, finding maritime research prioritizes functional and cognitive skills, while nuclear studies stress social competence. The study uses a scoping and systematic literature review to identify gaps in competency requirements for SMR-powered shipping. Findings suggest a need for a holistic, practice-based approach to competence in future remote operations.

94openalex2026-07-22Francesco Maione, Seher Suendam Arici, Agus Hasan, Modestas Sukarevicius +2 moreDOI ↗

Agentic AI for autonomous condition monitoring and predictive maintenance of marine vessels (opens in a new tab)

This paper introduces an Agentic AI system for marine vessel condition monitoring and predictive maintenance. It combines a Transformer-based Autoencoder for anomaly detection with a Large Language Model (LLM) to provide explainable, interactive analysis. The system processes high-frequency operational data to identify issues like abnormal loading or equipment degradation, using structured tool-calling to reduce errors. Tested on 91 days of vessel data, it successfully detected four fault scenarios with lead times of 97 to 637 minutes.

95crossref2026-07-08Yue Zhou, Zhuo Cheng, Jinchao FengDOI ↗

Changes in ecosystem carbon sequestration and their driving mechanisms in ethnic autonomous and non-autonomous areas of Western China (opens in a new tab)

Ecosystem carbon sequestration in western China increased from 2001 to 2025, with total carbon sink (TCS) rising from 1.40 to 1.60 PgC·yr⁻¹ and net primary productivity (NPP) from 440 to 500 gC·m⁻²·yr⁻¹. Ethnic autonomous areas contributed most to the carbon sink, showing higher TCS (1.14 to 1.27 PgC·yr⁻¹) but lower mean NPP (420 to 480 gC·m⁻²·yr⁻¹) compared to non-autonomous areas. NPP in autonomous areas was more sensitive to precipitation and soil moisture, while non-autonomous areas showed greater temperature sensitivity. Differences in carbon sequestration were driven by climate in autonomous areas and a mix of soil and climate factors in non-autonomous areas.

96crossref2026-06-22Nini Zhang, Xin Li, Wen Xie, Sudong Xu +3 moreDOI ↗

Simulation-Based Maritime Scheduling Optimization for Bidirectional Ship Flow in Multi-Chamber Lock Systems: Incorporating Chamber Operations for Efficient Management (opens in a new tab)

This study presents a multi-objective MILP model to optimize bidirectional ship scheduling in multi-chamber locks, aiming to reduce ship waiting time and boost chamber utilization. A custom adaptive large neighborhood search (ALNS) algorithm was tested using real-world data from Huai’an Lock, showing a 12.98% increase in chamber utilization and a 44.40% reduction in waiting time. The ALNS method outperformed greedy heuristics, genetic algorithms, and particle swarm optimization in efficiency. The research also suggests that flexible directional control strategies improve performance under uneven traffic demands.

97openalex2026-06-11Nicolò ColombaroDOI ↗

The Vessel Problem (opens in a new tab)

Nicolò Colombaro’s 2026 paper compiles *Series III of The Vessel Problem*, a 19-part study on the technical and civilizational steps needed for sustainable interstellar travel. It covers propulsion, navigation, braking, infrastructure like harbors and shipyards, and recursive systems for long-term growth, testing designs through falsification. The work frames interstellar travel as an evolving ecosystem where ships, factories, and memory systems prepare destinations for habitability. It serves as an open research framework, outlining questions and challenges rather than offering final solutions.

98openalex2026-06-04Grigorios Papanikolaou, Ioannis Kontopoulos, Giannis Spiliopoulos, Dimitris Zissis +1 moreDOI ↗

Trajectory-Aware Adaptive Inference in Object Detection Models (opens in a new tab)

This paper introduces a method to improve real-time object detection in autonomous maritime navigation by using GPS trajectory data. It modifies a YOLOv8-based detector with an early-exit mechanism that adjusts computation based on vessel motion, such as distance and speed. Frames with close or fast-converging vessels use the full model, while simpler scenes use a reduced network. Tests show the approach maintains accuracy while cutting inference time and computational costs.

99openalex2026-05-28Lingyue Li, Xiaozhi Ma, Jing YangDOI ↗

A bibliometric analysis on Internet of Things research for maritime industry 4.0 (opens in a new tab)

This paper analyzes IoT research in the maritime Industry 4.0 sector using bibliometric data on publications, keywords, and citations. It identifies four key research areas: digital infrastructure, data analytics, navigation technologies, and smart operations. The study highlights five future directions, including AI integration, autonomous systems, and sustainable IoT solutions. Environmental sustainability and system resilience are noted as understudied topics.

100Smart Maritime Network2026-04-20

Neptune Robotics invests $12m in Singapore facility to expand autonomous hull cleaning (opens in a new tab)

Neptune Robotics has invested $12 million to expand its autonomous hull cleaning operations in Singapore. The funding will support the development of its facility to enhance robotic solutions for ship maintenance. This move aims to improve efficiency and reduce environmental impact in maritime operations. The investment reflects growing demand for automated underwater cleaning technologies.

101crossref2026-04-13Shanthan K. Padisala, Satadru DeyDOI ↗

Model Predictive Control-Based Optimal Energy Management of Autonomous Electric Vehicles Under Cold Temperatures (opens in a new tab)

This paper presents a real-time Model Predictive Control (MPC) approach for optimizing energy management in autonomous electric vehicles (AEVs) under cold temperatures. It addresses the challenge of balancing battery power allocation between propulsion, HVAC systems, and battery preconditioning to preserve driving range and battery health. The method dynamically adjusts power distribution to maintain thermal comfort while ensuring the battery is ready for immediate charging upon arrival. The study aims to replace heuristic rules with a principled strategy for improved energy efficiency.

102openalex2026-11-01Chris CarpenterDOI ↗

Chemical Treatment Using Completion Rig Achieves Gains Without Service Vessel (opens in a new tab)

The paper discusses an autonomous chemical treatment method for scale management in Brazil’s Buzios Field, eliminating the need for a well-service stimulation vessel by using rig-based infrastructure. This approach reduces logistical complexity and costs while improving operational efficiency and well productivity. The Buzios Field, an ultradeepwater reservoir with depths up to 6,000 meters, relies on intelligent well completions to manage its complex carbonate formations. The proposed strategy focuses on removing and inhibiting inorganic scale through chemical treatments and operational protocols.

103crossref2026-06-01Hanna Hrudinina, Volodymyr Blintsov, Lech RowińskiDOI ↗

Automatic Course Stabilisation of an Autonomous High-Speed Boat Under Wind–Wave Disturbance Conditions (opens in a new tab)

This study developed a fuzzy logic-based controller to stabilize the course of a small, high-speed unmanned boat under wind and wave disturbances. The controller’s performance was tested via computer simulations, comparing its course-keeping accuracy and rudder activity to a traditional PID controller. Key evaluation metrics included course angle stability, variance, and rudder deflection frequency. The design prioritized energy efficiency by minimizing rudder movements while maintaining precision.

104openalex2026-04-27Louise Delaigue, Peter Landschützer, Cathy Wimart-Rousseau, Lisandro A. Arbilla +4 moreDOI ↗

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.

105openalex2026-04-09Martín Fuertes OlivaDOI ↗

Black Cruiser: A Fractal-Palindromic Vessel for Autonomous Energy Navigation (OPEN SOURCE - FREE PATENTS -OLD MISTAKED DRAFT) (opens in a new tab)

The *Black Cruiser* is a theoretical spacecraft concept combining the *Black Motor* and the electromagnetic hypothesis of black as a palindromic fractal. Its energy core uses symbiotic transduction to convert ambient and vacuum radiation into thrust and control energy. Designed for long-range navigation, it features modular scalability, fractal curvature manipulation, and multidimensional folding. The draft is open-source and patent-free.

106Marine Insight2026-11-03

Autonomous Marine Robot Tested Off Plymouth To Support Floating Offshore Wind Projects (opens in a new tab)

An autonomous marine robot was tested off the coast of Plymouth to aid floating offshore wind projects. The trial aimed to assess the robot's capabilities in supporting operations and maintenance tasks. The technology is intended to improve efficiency and safety in offshore wind farm development. No specific results or methods from the test were detailed.

107Seoul Economic Daily2026-10-29

HD Hyundai Heavy Develops AI Ship Coating Inspection System (opens in a new tab)

HD Hyundai Heavy Industries developed an AI-based system to inspect ship coatings. The system uses artificial intelligence to detect defects and assess coating quality. This technology aims to improve efficiency and accuracy in ship maintenance. The development was reported by Seoul Economic Daily on October 29, 2026.

108Splash2472026-10-09

Splash Wrap: Drones, driverless trains and the future of shipping (opens in a new tab)

The maritime industry faces escalating attacks in the Black Sea and Middle East, expanding in scale and reach. ShipGod AI, developed by Bing Hou, aims to digitize vessel operations by creating offline AI-assisted workspaces to reduce document management burdens for crews. Port New Orleans CEO Beth Branch emphasizes building capacity and flexibility to adapt to geopolitical uncertainties, while autonomous freight trains gain traction for container transport beyond port perimeters. HD Hyundai delivered the first methanol dual-fuel containership with a lashing-free system, using extended cell guides and a portable bench to eliminate manual securing, and Rio Tinto’s long-standing driverless train operations highlight automation’s role in shipping’s future.

109openalex2026-06-26Wegner Chukwuemeka DuloDOI ↗

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.

110openalex2026-06-18Piotr Ściegienka, Łukasz Wróbel, Daniel Dąbrowski, Marcin Michalak +4 moreDOI ↗

Image-Based Classification of Ship Hull Cleanliness Based on Transfer Learning (opens in a new tab)

This study applies transfer learning to classify ship hull cleanliness using images, based on the ISO 8501-4 standard. Pre-trained convolutional neural networks (ResNet50, EfficientNetB0, MobileNetV2) and hybrid models with XGBoost were tested on binary (cleaned vs. uncleaned) and multi-class (WA1, WA2, WA2.5) tasks. Binary classification achieved high performance despite limited data, while multi-class classification proved difficult due to subtle class differences. The method supports automated inspection for underwater robotic cleaning systems.

111openalex2026-04-23Minhazul Arefin, Xia Feng, Hongsheng HeDOI ↗

ezTwin: A Scalable Framework for Rapid Building Digital Twin for Hydro-Informatics (opens in a new tab)

The *ezTwin* framework enables rapid creation of hydrologic digital twins using minimal geospatial inputs like reservoir coordinates and river centerlines. It generates 3D geo-registered scenes in Unreal Engine with Cesium-based Google 3D Tiles, displaying live water levels and river bathymetry variations. The system integrates an unmanned surface vessel to collect real-time sonar depth data, refining the twin’s mesh and dynamically adjusting survey routes to reduce uncertainty. This approach simplifies deployment, supports flood scenario planning, and ensures real-time synchronization with physical conditions.

112crossref2026-04-21LAMPROS NIKOLOPOULOS, Evangelos BoulougourisDOI ↗

A ROBUST HOLISTIC OPTIMIZATION SHIP DESIGN APPROACH WITH VOYAGE SIMULATION PRINCIPLES AND ITS APPLICATIONS (opens in a new tab)

The paper introduces the Robust Holistic Optimisation Ship Design Approach (RHODA), a novel framework for designing large commercial vessels like bulkers and tankers. RHODA integrates voyage simulation with uncertainties in voyage, environmental, market, and methodological factors to improve early-stage decision-making. It systematically explores multi-variable, multi-objective design options to address IMO decarbonization goals and market volatility. A case study demonstrates its advantages over deterministic approaches for bulk carrier design.

113Strefa Obrony2026-11-05

Australian maritime drone tracks submarines. Powered by wind, waves and sun, it can patrol the ocean for six months (opens in a new tab)

An Australian maritime drone, powered by wind, waves, and solar energy, is designed to track submarines. The uncrewed vessel can operate autonomously for up to six months. Its renewable energy sources enable extended ocean patrols without refueling. The system aims to enhance underwater surveillance capabilities.

114珠海网2026-11-0521财经

Ideas Shine in Lingnan | Episode 20 Guest Revealed: Grounded in Lingnan, Strengthening Maritime Power, Forging China's Answer in Marine Embodied Intelligence with Unmanned Boats (opens in a new tab)

The episode features a guest from Lingnan who focuses on strengthening China’s maritime power through marine embodied intelligence. The discussion highlights the development of unmanned boats as a key innovation in this field. The guest’s work aims to create China’s solution for advanced maritime technology. The episode is part of the *Ideas Shine in Lingnan* series.

115해사신문2026-11-03

Korea Maritime & Ocean University and IAMU discuss training seafarers for alternative fuels and autonomous navigation era (opens in a new tab)

Korea Maritime & Ocean University and the International Association of Maritime Universities (IAMU) discussed strategies for training seafarers in response to advancements in alternative fuels and autonomous navigation. The focus was on adapting maritime education to equip future seafarers with skills for emerging technologies. The discussion highlighted the need for updated curricula and training programs. No specific outcomes or methods were detailed in the report.

116凤凰网2026-11-01

Shipbuilding industry booms as Dalian’s smart ship sector rises (opens in a new tab)

Dalian’s shipbuilding industry is experiencing significant growth, driven by advancements in its smart ship sector. The rise of intelligent ship technologies has boosted the city’s competitiveness in the global market. This expansion reflects broader trends in automation and digitalization within the maritime industry. The sector’s success is contributing to the overall economic development of the region.

117openalex2026-10-28Yutong Guo, Yangjun Wang, Ren ZhangDOI ↗

Pathway to low-carbon arctic shipping: carbon tax thresholds and market equilibrium under climate change (opens in a new tab)

This study examines how Arctic sea ice melt and carbon pricing policies affect competition between the Northeast Passage and Suez Canal Route for China–Europe shipping. Using a Stackelberg game model, it analyzes the interplay between carbon taxes, voyage speed, costs, route shares, and emissions, revealing non-linear effects on emissions reduction. Findings show that under severe warming, the Arctic route could capture 22% of freight traffic, with emissions surpassing 630,000 metric tonnes. The research highlights how climate change lowers the threshold for effective carbon tax regulation while supporting long-term low-carbon shipping strategies.

118뉴스핌2026-10-28

South Korea unveils AI transformation strategy for marine and fisheries sector, aiming for global leadership in autonomous ships by 2035 (opens in a new tab)

South Korea has announced an AI transformation strategy for its marine and fisheries sector, targeting global leadership in autonomous ships by 2035. The plan aims to integrate artificial intelligence into maritime operations to enhance efficiency and competitiveness. The strategy focuses on developing autonomous vessel technology and positioning South Korea as a top player in the global market. No specific methods or interim results were detailed in the announcement.

119아시아경제2026-10-28

Developing fully unmanned autonomous vessels... Aiming for top global market orders by 2035 - Asean Economy (opens in a new tab)

A South Korean initiative aims to develop fully unmanned autonomous vessels by 2035, targeting the top position in global market orders. The project focuses on advancing autonomous navigation technology to enhance competitiveness in the maritime industry. The goal is to secure leadership in the growing market for unmanned ships. No specific methods or current progress details were provided.

120亚洲日报2026-10-28

Leading autonomous vessel market through marine and fisheries AX transformation, boosting port productivity (opens in a new tab)

The article discusses how marine and fisheries AX (automation and digital transformation) is driving growth in the autonomous vessel market. This transformation aims to enhance port productivity by integrating advanced technologies. The focus is on improving efficiency and operational capabilities in maritime industries. The developments are expected to lead market leadership in autonomous shipping solutions.

121中新经纬2026-10-24

Yichang, Hubei: Building a green, intelligent shipbuilding industrial chain to support 'Electrified Yangtze River' (opens in a new tab)

Yichang, Hubei, is developing a green and intelligent shipbuilding industrial chain to support the "Electrified Yangtze River" initiative. The project aims to modernize the shipbuilding sector by integrating eco-friendly and smart technologies. This effort is part of a broader strategy to enhance sustainability and efficiency along the Yangtze River. The initiative focuses on creating a full industrial chain for electric and low-emission vessels.

122星島頭條2026-10-22

Yin Shangji – Hong Kong-made unmanned vessels empower smart oceans; green tech goes global | Trade Pioneer (opens in a new tab)

A Hong Kong-based company, Yin Shangji, is developing unmanned vessels to support smart ocean initiatives. These vessels incorporate green technology and are being exported globally. The company aims to enhance maritime efficiency and sustainability through innovation. The technology is positioned as a key player in advancing ocean-related smart solutions.

123国际船舶网2026-10-19

4th China-Europe Green and Intelligent Ship Technology Seminar successfully held in Fuzhou (opens in a new tab)

The 4th China-Europe Green and Intelligent Ship Technology Seminar was successfully held in Fuzhou. The event focused on advancements in green and smart ship technologies. It served as a platform for collaboration between Chinese and European experts in the maritime industry. No specific outcomes or discussions were detailed in the provided text.

124华人头条2026-10-17

Global First: Embodied AI Ship Painting Robot Unveiled at 2026 4th Fujian International Marine Equipment Expo (opens in a new tab)

A globally first embodied AI ship-painting robot was unveiled at the 2026 4th Fujian International Marine Equipment Expo. The robot, showcased as a breakthrough in maritime technology, is designed for automated ship coating applications. The event highlighted its potential to improve efficiency and safety in ship maintenance. No specific technical details or performance metrics were provided.

125华人头条2026-10-17

Global First: Embodied AI Ship Painting Robot Unveiled at 2026 4th Fujian International Marine Equipment Expo (opens in a new tab)

A globally first embodied AI ship-painting robot was unveiled at the 2026 4th Fujian International Marine Equipment Expo. The robot represents an advancement in automated marine maintenance technology. It was showcased as part of the event’s focus on innovative marine equipment. No additional technical details or performance results were provided.

126华人头条2026-10-17

Global First: Embodied AI Ship Painting Robot Unveiled at 2026 4th Fujian International Marine Equipment Expo (opens in a new tab)

A globally first embodied AI ship-painting robot was unveiled at the 2026 4th Fujian International Marine Equipment Expo. The robot, showcased as a breakthrough in maritime technology, is designed for automated ship coating tasks. The event highlighted its potential to improve efficiency and safety in ship maintenance. No technical details or performance results were disclosed in the announcement.

127해양한국2026-10-16

Incheon Maritime High School Conducts Training for Faculty to Strengthen Expertise in Autonomous and Eco-Friendly Ships (opens in a new tab)

Incheon Maritime High School held a training program for faculty to enhance their expertise in autonomous and eco-friendly ships. The initiative aimed to strengthen teachers' knowledge and skills in these emerging maritime technologies. The training focused on preparing educators to better instruct students in modern shipping advancements. The program was reported by 해양한국 on October 16, 2026.

128해사신문2026-10-15

Incheon Maritime High School Strengthens Specialized Education in Autonomous and Eco-Friendly Ships Through Cooperation with Korean Register (opens in a new tab)

Incheon Maritime High School is enhancing its specialized education in autonomous and eco-friendly ships through a partnership with the Korean Register. The collaboration aims to strengthen training programs focused on next-generation maritime technologies. This initiative will provide students with practical skills and knowledge in these emerging fields. The school seeks to better prepare future maritime professionals for industry advancements.

129中国科技网2026-10-12

Vitality China Survey: Green and intelligent shipbuilding base rises along the Pinglu Canal (opens in a new tab)

The Vitality China Survey reports that a green and intelligent shipbuilding base is under construction along the Pinglu Canal. The project aims to integrate advanced technologies and sustainable practices in shipbuilding. This development is part of China's efforts to modernize its maritime infrastructure. The base is expected to enhance efficiency and reduce environmental impact in the industry.

130国际船舶网2026-10-08

3-billion-yuan annual output planned as Wenling lays out green, smart shipbuilding and marine equipment project (opens in a new tab)

Wenling plans a green and smart shipbuilding and marine equipment project with an annual output target of 3 billion yuan. The initiative aims to advance sustainable and intelligent manufacturing in the shipbuilding sector. The project is part of the city’s broader strategy to modernize its maritime industry. No specific timeline or implementation details were provided.

131FETV2026-10-01

[Shipbuilding competitiveness check] ③ 'Lower-tier' Samsung Heavy Industries bets on autonomous navigation and robot factories (opens in a new tab)

Samsung Heavy Industries, currently ranked lower in shipbuilding competitiveness, is focusing on autonomous navigation and robotic factories to improve its position. The company aims to enhance efficiency and innovation by integrating advanced technologies. This strategy targets long-term competitiveness in the global shipbuilding market. The approach contrasts with traditional methods used by higher-ranked competitors.

132crossref2026-03-31Nazreen Rusli, Zulkifli Zainal Abidin, Muhammad Aiman Norazuddin, Taufik YunaharDOI ↗

An Integrated Controller System For Unmanned Surface Vehicles (USV) (opens in a new tab)

Nazreen Rusli, Zulkifli Zainal Abidin, Muhammad Aiman Norazuddin, and Taufik Yunahar (2026) present an integrated controller system for Unmanned Surface Vehicles (USVs), designed to enhance maritime operations in environmental monitoring, resource exploration, and security. The "CxSense" controller, developed by IIUM’s Centre for Unmanned Technologies and Prostrain Technologies, meets high industry standards (IPx8, ESD, and vibration tests) for robustness and reliability. Battery-powered USVs, like those using CxSense, reduce environmental impact by eliminating direct water pollutants compared to traditional fuel-powered vessels. The system aims to improve maritime safety, efficiency, and sustainability in Malaysia and neighboring regions.

133Digital Ship2026-10-22

Singapore and China expand maritime partnership on green fuels and smart ships (opens in a new tab)

Singapore and China have expanded their maritime partnership to focus on green fuels and smart ship technologies. The collaboration aims to advance sustainable shipping solutions and digital innovations in the maritime sector. Both nations will work together on research, development, and implementation of these initiatives. The agreement was announced in October 2026.

134openalex2026-10-20Yanjun Che, Shijin Wang, Zhuotong Nan, Minghu Ding +2 moreDOI ↗

Three-phase evolution of a proglacial lake and its hydrological impacts on glacier retreat: Insights from Midui Glacier, southeastern Tibetan Plateau (opens in a new tab)

The study analyzed the evolution of Guangxie Co proglacial lake and Midui Glacier on the Qinghai-Tibet Plateau from 1986 to 2021 using remote sensing, modeling, and bathymetry. The lake expanded by 153% in area (0.19–0.48 km²) and reached a volume of 4.97 × 10⁶ m³, surpassing pre-1988 GLOF levels, with a "double-funnel" basin structure identified. Three expansion phases were observed: glacier retreat (1988–2010), supraglacial lake formation (2011–2017), and accelerated calving/subglacial melting (2017–2021). The findings emphasize the need for ongoing monitoring due to increased glacier retreat driven by thermal erosion and calving.

135openalex2026-09-01Orfeas Bourchas, Ioannis Karlatiras, George PapalambrouDOI ↗

A novel application of attention U-Net for marine biofouling segmentation (opens in a new tab)

This study introduces an Attention U-Net model for segmenting marine biofouling in real-world conditions, enhancing traditional U-Net with spatial attention gates and squeeze-and-excitation modules. The model was trained and tested on 504 annotated images from ship hull surveys under varied environmental conditions. It achieved a validation Dice coefficient of 0.814 and a macro-accuracy of 0.689. The approach aims to improve automated inspection systems, reducing manual effort and increasing detection accuracy in maritime maintenance.

136openalex2026-05-19Sardar Muhammad Ali, Ke DuDOI ↗

Development and Preliminary Evaluation of Low-Cost VOC Sensors for USV-Based Oil Spill Detection (opens in a new tab)

This study developed a low-cost, modular VOC sensor system for unmanned surface vehicles (USVs) to detect oil spills in marine environments. The system was tested in lab and outdoor settings, showing reliable detection of oil-contaminated conditions despite variability from airflow and ambient factors. Results confirmed the sensor’s ability to distinguish oil spills from background environments. The findings suggest potential for scalable, data-driven oil spill monitoring using USVs.

137openalex2026-04-27C. K. Weber, Brian ButlerDOI ↗

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.

138openalex2026-04-24Tingyun Li, Jianwei HuangDOI ↗

Distributed intelligent monitoring network system for ship engine room automation based on FCS (opens in a new tab)

This paper presents a ship engine room monitoring system based on Field Control System (FCS) that is open, decentralized, and integrated using computer networks and fieldbuses. It introduces a network controller as a field data collector to standardize shared data and improve interaction interfaces for engine room monitoring. The system aims to enable comprehensive, intelligent management of ships while supporting seamless integration with shore-based information systems. The design addresses big data-era demands in shipping technology applications.

139crossref2026-04-23Junfu Yuan, Haijun Wei, Chen LiDOI ↗

Numerical Investigation of Aerodynamic Characteristics of Biomimetic Wingsails for Unmanned Surface Vehicles (opens in a new tab)

This study numerically analyzed the aerodynamic performance of four biomimetic wingsails—modeled after owl, merganser, seagull, and teal wings—for unmanned surface vehicles (USVs). Using the SST k-ω turbulence model, researchers found the merganser airfoil achieved the highest lift coefficient (3.21) across angles of attack from 0° to 60°, followed by the seagull airfoil, while the teal airfoil performed weakest. Flow separation and trailing-edge vortices, particularly in the merganser design, were observed to impact lift by causing unsteady backflow on the suction surface. The findings offer guidance for selecting efficient wingsail designs for USVs.

140crossref2026-04-07İsa Ünver, Musa DemirciDOI ↗

Design Of an Unmanned Surface Vehicle and Flow and Structural Analysis of Its Hull (opens in a new tab)

This study presents the design and analysis of a 7-meter V-type trimaran hull for an Unmanned Surface Vehicle (USV) using SolidWorks and ANSYS. The research combines computational fluid dynamics (CFD) and structural analysis to assess hydrodynamic efficiency, stability, and resistance to external forces, including stress and deformation. Modal analysis was also conducted to evaluate the hull’s response to environmental vibrations. The integrated approach aims to optimize USV performance for high-speed and rough sea conditions while supporting defense industry applications.

141Marine Technology News2026-11-05

Equinor Launches Marine Robotics Test Center for Offshore Ops (Video) (opens in a new tab)

Equinor opened the K-lab Marine Robotics Centre (KNARR) at Norway’s Kårstø processing plant in October 2026 to test underwater robots, autonomous vessels, and related technologies for offshore operations. The facility, connected to an active plant, offers three testing areas at depths of 25, 140, and 250 meters, along with subsea cables and infrastructure for long-term sensor and drone testing. Funded with $1.73 million, the center aims to cut operational costs by hundreds of millions of kroner annually by improving efficiency and reducing reliance on larger vessels. It will support collaboration among industry partners, research institutions, and suppliers to advance autonomous offshore maintenance and monitoring.

142Hellenic Shipping News2026-10-18

AI, Robotics and Nuclear Energy Lead Discussion at ABS North America Regional Committee Meeting (opens in a new tab)

The ABS North America Regional Committee Meeting highlighted AI, robotics, and nuclear energy as key technologies transforming the shipping industry into a data-driven sector. ABS Chairman John McDonald emphasized the need for industry support in adopting these innovations, including digital twins and autonomous systems, while ensuring safety and regulatory compliance. Discussions also covered U.S. maritime revitalization, AI-driven optimization, and market trends from experts like Microsoft’s Daryl Willis and Morgan Stanley’s Ellen Zentner. The meeting underscored collaboration among industry leaders to advance sustainable and commercially viable maritime solutions.

143safety4sea2026-10-07

AI, automation and connectivity could drive the next era of shipping (opens in a new tab)

AI, automation, and connectivity may shape the future of the shipping industry. These technologies could enhance efficiency, safety, and operational capabilities. The article suggests they will play a key role in advancing maritime logistics. No specific methods or outcomes are detailed in the provided text.

144crossref2026-06-11Siyan Qin, Weiwei Yang, Xiao Wu, Yi Cai +1 moreDOI ↗

Characteristics of Heterogeneous Photovoltaic Power Generation Systems for Small Long-Endurance Unmanned Surface Vehicles (opens in a new tab)

This study examines a heterogeneous photovoltaic (PV) system for small long-endurance unmanned surface vehicles (USVs) with a trapezoidal deck. It developed a model to predict PV power output under varying tilt and heading angles, finding that a 24° tilt angle achieves 95% of the energy yield of a horizontal layout while improving wave resistance. Heading angle has minimal impact on daily energy yield, though tilt and heading angles show a coupling effect. The parallel configuration reduces energy loss at non-south headings but yields slightly less power at steep tilt angles.

145crossref2026-03-30C. J. BerryDOI ↗

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.

146Marine Insight2026-11-02

U.S Navy Uses Wall-Climbing Robots That Promise To Inspect Ship Hulls Up To 50 Times Faster (opens in a new tab)

The U.S. Navy partnered with Gecko Robotics in a $300 million deal to deploy AI-powered wall-climbing robots for ship hull inspections, claiming they can complete the process 50 times faster than human teams. These robots detect cracks and corrosion with high-precision sensors, reducing maintenance time from months to days and cutting repair costs by about $8 million per vessel. The Komodo system scans surfaces without removing paint, using ultrasonic waves to inspect through coatings and metal plating. The Navy aims to boost fleet readiness to 80% by 2027, with future underwater-capable robots (Axoloti) in development for full inspections without drydocking.

147Unmanned Systems Technology2026-10-29

Partnership to Bring Autonomy-Ready Electric Propulsion to France (opens in a new tab)

A partnership aims to introduce autonomy-ready electric propulsion systems in France. The collaboration focuses on advancing unmanned vehicle technology. The initiative targets improved efficiency and sustainability in propulsion solutions. Details on specific companies or technologies involved are not provided.

148crossref2026-09-23Andrea Appolloni, Massimiliano CaramiaDOI ↗

An Optimization Framework for Automated and Human-Operated Fleet Routing (opens in a new tab)

This paper introduces a mathematical model for optimizing routes in a mixed fleet of autonomous and human-driven freight vehicles. It aims to minimize emissions, energy use, and costs while maximizing reliability for autonomous vehicles, using a mixed-integer programming approach. The model includes a reliability threshold for autonomous vehicle paths and integrates into a decision support system for real-time adjustments. Valid inequalities, heuristics, and metaheuristics improve scalability, with a case study demonstrating its practical effectiveness.

149crossref2026-09-07Lin Zhou, Zhuo Wang, Zhou Nan, Zhongchao Deng +2 moreDOI ↗

An Information‐Driven Multilevel Path Planning Framework for Unmanned Surface Vehicles in Environmental Monitoring of Uninhabited Islands and Reefs (opens in a new tab)

This paper introduces an information-driven, multilevel path planning framework for unmanned surface vehicles (USVs) to improve environmental monitoring of uninhabited islands and reefs. The framework uses three algorithms: one for broad mapping of irregular areas, another for fine-tuned local mapping adjusted to tidal changes, and a third for energy-efficient ecological sampling despite ocean currents. Tests show the method outperforms existing approaches in path length, coverage accuracy, and energy use. The system enhances observation efficiency and reliability for long-term monitoring tasks.

150The Manila Times2026-08-25

Southeast Asia maritime leaders partner for AI emissions verification (opens in a new tab)

Maritime leaders in Southeast Asia have formed a partnership to use AI for verifying ship emissions. The initiative aims to improve accuracy and transparency in tracking greenhouse gas outputs from the shipping industry. The collaboration was announced in a report by *The Manila Times* on August 25, 2026. No specific methods or outcomes were detailed in the announcement.

151openalex2026-08-24Zhengjiao Qi, Yukuan Wang, Jingxian Liu, Jing QuDOI ↗

Wind-constrained Pareto multi-objective reinforcement learning for low-carbon vessel traffic organization in port approach channels (opens in a new tab)

This study introduces a wind-constrained framework for vessel traffic organization in port approach channels, using a Pareto-based multi-objective reinforcement learning algorithm (Pareto MO-PPO). The method incorporates real-time wind data to model propulsion, CO₂ emissions, and engine-load limits, enabling dynamic speed adjustments. Tested at Caofeidian Port, the approach reduced emissions by 11.41% compared to first-come, first-served scheduling, with a 7.49% increase in system time. The framework offers port operators multiple policy options to balance efficiency and emissions.

152openalex2026-06-30V.V. Knyazhev, V.V. LoshchenkovDOI ↗

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.

153crossref2026-10-07Raymond Blair, Kenton Kyger, Chen DuanDOI ↗

A Shared-Hardware Battery Management System for Solar-Assisted and Capacitive Balancing in Unmanned Surface Vehicles (opens in a new tab)

This paper introduces a hybrid battery management system for unmanned surface vehicles, combining solar-to-cell balancing, capacitive balancing, and solar-to-pack charging in a single hardware setup. The system switches between modes based on solar availability and cell balance, reducing the need for extra components. Tests on a 14.8 V Li-ion battery pack showed better cell balancing, slower battery wear, and longer runtime compared to traditional systems. Results confirm its efficiency and adaptability for similar marine platforms.

154openalex2026-07-29Xuefeng Qi, Wenfeng Liu, Fangyou Gong, Jianfeng Wu +3 moreDOI ↗

Transient Dynamic Analysis and Vibration Reduction Optimization of a Marine ROV Launch and Recovery System Based on Viscoelastic Damping (opens in a new tab)

This study analyzes the structural safety of a marine ROV launch and recovery system (LARS) under extreme sea conditions, focusing on its vulnerability to high-frequency impacts. Simulations revealed that traditional rigid frames face significant stress (195.38 MPa) and deformation (over 20 mm) under a 1 g horizontal impact. A viscoelastic damping solution was proposed, reducing peak stresses by over 37% and deformation by 64%. The approach offers a lightweight alternative to conventional strengthening methods for marine equipment.

155openalex2026-06-30Yaqiang Lu, Jipeng Zhang, Chao Song, Fankai Meng +1 moreDOI ↗

Mission Effectiveness Assessment of Solar-Powered Unmanned Surface Vehicles Considering Hardware States and Energy Levels (opens in a new tab)

This study introduces an enhanced ADC framework to evaluate solar-powered unmanned surface vehicles (USVs), combining hardware conditions and battery energy levels. Using Monte Carlo simulations with real solar data, it models dynamic state transitions and applies a hierarchical CRITIC method for objective performance weighting. A case study found baseline mission effectiveness at 0.661934, with energy dynamics and hardware failures causing overestimations of 38.94% and 9.48%, respectively. Results highlight the need to integrate both energy and hardware states for accurate mission assessments.

156조선일보2026-10-13

South Korea Invests 1.4 Trillion Won to Boost AI in Shipbuilding (opens in a new tab)

South Korea will invest 1.4 trillion won (approximately $1 billion) to advance AI technology in its shipbuilding industry. The funding aims to enhance competitiveness by integrating AI into design, production, and management processes. Major shipbuilders like Hyundai Heavy Industries and Samsung Heavy Industries will participate in the initiative. The project is expected to strengthen the country’s leadership in global shipbuilding.

157Siemens Newsroom2026-10-01

Siemens and HD Hyundai to establish AI-powered digital shipyard to modernize U.S. shipbuilding (opens in a new tab)

Siemens and HD Hyundai will collaborate to create an AI-powered digital shipyard aimed at modernizing U.S. shipbuilding. The initiative focuses on integrating advanced digital technologies to enhance efficiency and productivity. The partnership seeks to transform traditional shipbuilding processes through automation and data-driven solutions. No specific timeline or technical details were provided in the announcement.

158openalex2026-10-12Marko Perkovič, Ivica Pavić, Maciej Gucma, Sebastian Feuerstack +1 moreDOI ↗

Maritime security and risk assessments—2nd edition (opens in a new tab)

The second edition of *Maritime security and risk assessments* addresses evolving challenges in maritime safety, including digitization, automation, cyber-physical risks, and geopolitical threats. It expands on the first edition by exploring risk-informed decision-making, validation, and system resilience through three research streams: collision-risk sensing, human-technology interaction, and port safety. Studies use traffic data, simulations, and accident reports but face limitations like incomplete validation, sparse data, and weak cross-scale integration. Effective implementation requires trustworthy data, uncertainty management, human-centred assurance, and preparedness for cyber-physical and security failures.

Data-driven social-cognitive navigation for energy-efficient and low-carbon autonomous shippingData-driven social-cognitive navigation for energy-efficient and low-carbon autonomous shipping ↗ (opens in a new tab)

Autonomous Surface Vessel Capabilities Highlight Cost Efficiencies in Maritime MissionsAutonomous Surface Vessel Capabilities Highlight Cost Efficiencies in Maritime Missions ↗ (opens in a new tab)

Resilient Sensing and Multi-Sensor Fusion for Autonomous Maritime SystemsResilient Sensing and Multi-Sensor Fusion for Autonomous Maritime Systems ↗ (opens in a new tab)

Challenges and Opportunities for Digital Twins Supporting Smart Mobility in Autonomous Ship Navigation Through Complex Traffic AreaChallenges and Opportunities for Digital Twins Supporting Smart Mobility in Autonomous Ship Navigation Through Complex Traffic Area ↗ (opens in a new tab)

Ship-shore energy systems for maritime electrification: Voyage-energy provision, configurations and resilienceShip-shore energy systems for maritime electrification: Voyage-energy provision, configurations and resilience ↗ (opens in a new tab)

Modelling the Potential Environmental and Operational Effects of Autonomous Ship Just-in-Time Arrivals: A Scenario-Based AnalysisModelling the Potential Environmental and Operational Effects of Autonomous Ship Just-in-Time Arrivals: A Scenario-Based Analysis ↗ (opens in a new tab)

Clear Robotics, ReSustainability deploy electric semi-autonomous vessel on Singapore riverClear Robotics, ReSustainability deploy electric semi-autonomous vessel on Singapore river ↗ (opens in a new tab)

Research on Autonomous Ship Route Planning Based on Time-Dynamic Theta* Algorithm Under Complex and Extreme Sea ConditionsResearch on Autonomous Ship Route Planning Based on Time-Dynamic Theta* Algorithm Under Complex and Extreme Sea Conditions ↗ (opens in a new tab)

Clarity-Driven Adaptive Mission Planning for a Solar-Powered Autonomous Surface VesselClarity-Driven Adaptive Mission Planning for a Solar-Powered Autonomous Surface Vessel ↗ (opens in a new tab)

The Role of AI and Autonomous Systems in Navigating China’s Future Maritime Sustainability and Blue Economy GovernanceThe Role of AI and Autonomous Systems in Navigating China’s Future Maritime Sustainability and Blue Economy Governance ↗ (opens in a new tab)

Development of a Solar Autonomous Boat Navigation Guidance System for Future Swarm Unmanned-Surface-Vehicle ImplementationDevelopment of a Solar Autonomous Boat Navigation Guidance System for Future Swarm Unmanned-Surface-Vehicle Implementation ↗ (opens in a new tab)

Neptune Robotics Invests US$12mn in New Singapore Factory to Drive Five-Fold Increase in Autonomous Ship Hull CleaningsNeptune Robotics Invests US$12mn in New Singapore Factory to Drive Five-Fold Increase in Autonomous Ship Hull Cleanings ↗ (opens in a new tab)

South Korean province seeks autonomous ship zone off Geoje for Samsung Heavy trialsSouth Korean province seeks autonomous ship zone off Geoje for Samsung Heavy trials ↗ (opens in a new tab)

A Review of Ship Path Planning: Models, Algorithms, and ChallengesA Review of Ship Path Planning: Models, Algorithms, and Challenges ↗ (opens in a new tab)

Dynamic Trajectory Tracking and Autonomous Berthing Control of a Container Ship Based on Four-Quadrant HydrodynamicsDynamic Trajectory Tracking and Autonomous Berthing Control of a Container Ship Based on Four-Quadrant Hydrodynamics ↗ (opens in a new tab)

“SMR ships, AI autonomous vessels, and green energy transition essential” [20th World Maritime Forum]“SMR ships, AI autonomous vessels, and green energy transition essential” [20th World Maritime Forum] ↗ (opens in a new tab)

News Content Hub - Fugro secures €150M financing to develop uncrewed vessel technologyNews Content Hub - Fugro secures €150M financing to develop uncrewed vessel technology ↗ (opens in a new tab)

Rethinking Port Charges in the Age of Autonomous ShippingRethinking Port Charges in the Age of Autonomous Shipping ↗ (opens in a new tab)

Sail-powered autonomous vessel completes solo trans-Atlantic crossing from Canary Islands to BarbadosSail-powered autonomous vessel completes solo trans-Atlantic crossing from Canary Islands to Barbados ↗ (opens in a new tab)

Energy–Time Co-Optimization for Autonomous Ship Berthing in Complex Ocean Currents Using an Improved hp-Pseudospectral Optimal MethodEnergy–Time Co-Optimization for Autonomous Ship Berthing in Complex Ocean Currents Using an Improved hp-Pseudospectral Optimal Method ↗ (opens in a new tab)

Next-generation autonomous vessels and the IMO's decarbonization goalsNext-generation autonomous vessels and the IMO's decarbonization goals ↗ (opens in a new tab)

Jiangsu Ocean Shipping to trial autonomous tech on inland vesselsJiangsu Ocean Shipping to trial autonomous tech on inland vessels ↗ (opens in a new tab)

A Machine Learning Operations Framework for Self-Adaptive Anomaly Detection in Autonomous Surface Ships Under Data DriftA Machine Learning Operations Framework for Self-Adaptive Anomaly Detection in Autonomous Surface Ships Under Data Drift ↗ (opens in a new tab)

Risk-Aware Deep Learning Method for Compressing Vessel AIS TrajectoriesRisk-Aware Deep Learning Method for Compressing Vessel AIS Trajectories ↗ (opens in a new tab)

Maritime Security and Risk Assessments—2nd Edition: From Risk Identification to Decision Support and System ResilienceMaritime Security and Risk Assessments—2nd Edition: From Risk Identification to Decision Support and System Resilience ↗ (opens in a new tab)

LONG-TERM OPERATIONAL MODEL OF AUTONOMOUS UNDERWATER VEHICLES (AUV) FOR MARITIME DEFENSE AND SECURITYLONG-TERM OPERATIONAL MODEL OF AUTONOMOUS UNDERWATER VEHICLES (AUV) FOR MARITIME DEFENSE AND SECURITY ↗ (opens in a new tab)

RAD secures £4.4m to expand autonomous vessel systems and electric propulsion portfolioRAD secures £4.4m to expand autonomous vessel systems and electric propulsion portfolio ↗ (opens in a new tab)

First Voyage of the Electric and Autonomous Ship “Yara Birkeland”First Voyage of the Electric and Autonomous Ship “Yara Birkeland” ↗ (opens in a new tab)

‘Autonomous ships could slash fuel costs’... HJ Heavy Industries teams up with HD Hyundai to begin development‘Autonomous ships could slash fuel costs’... HJ Heavy Industries teams up with HD Hyundai to begin development ↗ (opens in a new tab)

Germany’s New Floating Lab MODULARIS To Test Future Autonomous Ship Tech, Propulsion SystemsGermany’s New Floating Lab MODULARIS To Test Future Autonomous Ship Tech, Propulsion Systems ↗ (opens in a new tab)

Neptune Robotics invests $12M in new Singapore factory to boost autonomous ship hull cleaningsNeptune Robotics invests $12M in new Singapore factory to boost autonomous ship hull cleanings ↗ (opens in a new tab)

Ministry of Oceans and Fisheries to boost port productivity by 30% with AI, challenging for global autonomous ship leadershipMinistry of Oceans and Fisheries to boost port productivity by 30% with AI, challenging for global autonomous ship leadership ↗ (opens in a new tab)

Maritime drones: Unmanned vessels that travel 1,000 miles with minimal energy! Could they be seen in the Aegean?Maritime drones: Unmanned vessels that travel 1,000 miles with minimal energy! Could they be seen in the Aegean? ↗ (opens in a new tab)

Green fuels, autonomous ships, new skills: How Singapore is future-proofing its shipping industryGreen fuels, autonomous ships, new skills: How Singapore is future-proofing its shipping industry ↗ (opens in a new tab)

GasTech 2026 sees deals for new vessel designs, autonomous navigation and wind-assisted propulsionGasTech 2026 sees deals for new vessel designs, autonomous navigation and wind-assisted propulsion ↗ (opens in a new tab)

Dual-Agent Hierarchical Reinforcement Learning for Typhoon-Avoidance Route Planning of Ships Under Dynamic Wind–Wave–Current FieldsDual-Agent Hierarchical Reinforcement Learning for Typhoon-Avoidance Route Planning of Ships Under Dynamic Wind–Wave–Current Fields ↗ (opens in a new tab)

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

An improved A* algorithm and its application in path planning for unmanned surface vehiclesAn improved A* algorithm and its application in path planning for unmanned surface vehicles ↗ (opens in a new tab)

RAD Secures £4.4 Million for Autonomous Vessel Systems & Electric PropulsionRAD Secures £4.4 Million for Autonomous Vessel Systems & Electric Propulsion ↗ (opens in a new tab)

RAD Secures Funding To Scale Autonomous Vessel Technology And Electric PropulsionRAD Secures Funding To Scale Autonomous Vessel Technology And Electric Propulsion ↗ (opens in a new tab)

Celestial navigation for autonomous systems in GPS contested environmentsCelestial navigation for autonomous systems in GPS contested environments ↗ (opens in a new tab)

Fleetzero, Thoma-Sea and Glosten team up on autonomous vessel solutionsFleetzero, Thoma-Sea and Glosten team up on autonomous vessel solutions ↗ (opens in a new tab)

MSB for Autonomous Power Plant with SEFR circuit breakersMSB for Autonomous Power Plant with SEFR circuit breakers ↗ (opens in a new tab)

Decision-making tools enabling sustainable maintenance strategies of naval systems: a comparison of multi-criteria approachesDecision-making tools enabling sustainable maintenance strategies of naval systems: a comparison of multi-criteria approaches ↗ (opens in a new tab)

Fugro secures €150M financing to develop uncrewed vessel technologyFugro secures €150M financing to develop uncrewed vessel technology ↗ (opens in a new tab)

Autonomous roro vessel wins green light from JapanAutonomous roro vessel wins green light from Japan ↗ (opens in a new tab)

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

The Future of the Law of the Sea: Emerging Challenges and the Niger Delta in a Changing Maritime OrderThe Future of the Law of the Sea: Emerging Challenges and the Niger Delta in a Changing Maritime Order ↗ (opens in a new tab)

An Autonomous GeoAI Agent for Arctic Eco-NavigationAn Autonomous GeoAI Agent for Arctic Eco-Navigation ↗ (opens in a new tab)

Samsung Heavy Industries Secures US LNG Bunkering Vessel Approval, Expands 'Shipbuilding Alliance' to Unmanned Surface VesselsSamsung Heavy Industries Secures US LNG Bunkering Vessel Approval, Expands 'Shipbuilding Alliance' to Unmanned Surface Vessels ↗ (opens in a new tab)

Circeo wants to put data centers on autonomous sail-powered vesselsCirceo wants to put data centers on autonomous sail-powered vessels ↗ (opens in a new tab)

Advancements in Maritime Safety and Risk AssessmentAdvancements in Maritime Safety and Risk Assessment ↗ (opens in a new tab)

Autonomous sailing with sim-to-real reinforcement learningAutonomous sailing with sim-to-real reinforcement learning ↗ (opens in a new tab)

Fleetzero, Thoma-Sea, and Glosten Announce Collaboration to Deliver Long-Duration Autonomous VesselsFleetzero, Thoma-Sea, and Glosten Announce Collaboration to Deliver Long-Duration Autonomous Vessels ↗ (opens in a new tab)

Fleetzero, Thoma-Sea, Glosten Announce Deal on Autonomous VesselsFleetzero, Thoma-Sea, Glosten Announce Deal on Autonomous Vessels ↗ (opens in a new tab)

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

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

An Investigation on Wake Control Mechanism and Performance Optimization of the Flow-interrupting Plate in Unmanned Sailing VesselsAn Investigation on Wake Control Mechanism and Performance Optimization of the Flow-interrupting Plate in Unmanned Sailing Vessels ↗ (opens in a new tab)

Hybrid Vision Perception for Low-Cost Autonomous Vehicle NavigationHybrid Vision Perception for Low-Cost Autonomous Vehicle Navigation ↗ (opens in a new tab)

Hydrodynamics-aware formation control for energy-efficient multi-vessel systems: A reviewHydrodynamics-aware formation control for energy-efficient multi-vessel systems: A review ↗ (opens in a new tab)

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

Maintenance management in shipping: the intricate interplay between organizations, technology, and humansMaintenance management in shipping: the intricate interplay between organizations, technology, and humans ↗ (opens in a new tab)

Circeo imagines an autonomous trimaran to host tomorrow's data centersCirceo imagines an autonomous trimaran to host tomorrow's data centers ↗ (opens in a new tab)

Explainable Failure Prediction and Prevention in MaritimeExplainable Failure Prediction and Prevention in Maritime ↗ (opens in a new tab)

Ship Safety Analysis in Indonesia: Determining Crew Competence, Port Digitalization and Ship Technology InnovationShip Safety Analysis in Indonesia: Determining Crew Competence, Port Digitalization and Ship Technology Innovation ↗ (opens in a new tab)

Towards Autonomy Crew Transfer and Service Vessels in Offshore Wind Farms: Technologies, Challenges, and Research GapsTowards Autonomy Crew Transfer and Service Vessels in Offshore Wind Farms: Technologies, Challenges, and Research Gaps ↗ (opens in a new tab)

Korea backs shipbuilders to adopt domestic green, autonomous equipment - CHOSUNBIZKorea backs shipbuilders to adopt domestic green, autonomous equipment - CHOSUNBIZ ↗ (opens in a new tab)

Wind-propelled ships for maritime decarbonization: Technologies, global deployment, and engineering challengesWind-propelled ships for maritime decarbonization: Technologies, global deployment, and engineering challenges ↗ (opens in a new tab)

Hyundai Heavy develops AI system for ship coating inspectionsHyundai Heavy develops AI system for ship coating inspections ↗ (opens in a new tab)

Buoying strategic maritime autonomyBuoying strategic maritime autonomy ↗ (opens in a new tab)

AI-powered autonomous robot wins innovation award for detecting and collecting marine litterAI-powered autonomous robot wins innovation award for detecting and collecting marine litter ↗ (opens in a new tab)

Busan pushes for eco-friendly, South Gyeongsang for AI, Ulsan for autonomous navigation... Shipbuilding industry restructuring underwayBusan pushes for eco-friendly, South Gyeongsang for AI, Ulsan for autonomous navigation... Shipbuilding industry restructuring underway ↗ (opens in a new tab)

Researchers at NCSR Demokritos design marine drone to collect sea wasteResearchers at NCSR Demokritos design marine drone to collect sea waste ↗ (opens in a new tab)

AI in Shipbuilding: 1.4 trillion Won Key Lies in 'Data Connection' Linking Design to Robots and Autonomous NavigationAI in Shipbuilding: 1.4 trillion Won Key Lies in 'Data Connection' Linking Design to Robots and Autonomous Navigation ↗ (opens in a new tab)

K-shipbuilding invests 1.4 trillion in AI transformation—expanding beyond autonomous navigation to shipyards and equipmentK-shipbuilding invests 1.4 trillion in AI transformation—expanding beyond autonomous navigation to shipyards and equipment ↗ (opens in a new tab)

From eco-friendly ships to AI autonomous navigation: '2026 International Marine Energy Plant Expo' opens on the 14thFrom eco-friendly ships to AI autonomous navigation: '2026 International Marine Energy Plant Expo' opens on the 14th ↗ (opens in a new tab)

Contribution of Ship Berthing to Surface Water Pollution in Selected Harbours in Rivers StateContribution of Ship Berthing to Surface Water Pollution in Selected Harbours in Rivers State ↗ (opens in a new tab)

Strengthening AI, eco-friendly, and autonomous navigation technologies... Leading the future ship marketStrengthening AI, eco-friendly, and autonomous navigation technologies... Leading the future ship market ↗ (opens in a new tab)

HMM expands AI autonomous shipping fleet, saving fuel with 0.1-degree fine adjustmentsHMM expands AI autonomous shipping fleet, saving fuel with 0.1-degree fine adjustments ↗ (opens in a new tab)

A state-of-the-art review on crew competence in maritime and nuclear remote operationsA state-of-the-art review on crew competence in maritime and nuclear remote operations ↗ (opens in a new tab)

Data-driven social-cognitive navigation for energy-efficient and low-carbon autonomous shipping (opens in a new tab)

Autonomous Surface Vessel Capabilities Highlight Cost Efficiencies in Maritime Missions (opens in a new tab)

Resilient Sensing and Multi-Sensor Fusion for Autonomous Maritime Systems (opens in a new tab)

Challenges and Opportunities for Digital Twins Supporting Smart Mobility in Autonomous Ship Navigation Through Complex Traffic Area (opens in a new tab)

Ship-shore energy systems for maritime electrification: Voyage-energy provision, configurations and resilience (opens in a new tab)

Modelling the Potential Environmental and Operational Effects of Autonomous Ship Just-in-Time Arrivals: A Scenario-Based Analysis (opens in a new tab)

Clear Robotics, ReSustainability deploy electric semi-autonomous vessel on Singapore river (opens in a new tab)

Research on Autonomous Ship Route Planning Based on Time-Dynamic Theta* Algorithm Under Complex and Extreme Sea Conditions (opens in a new tab)

Clarity-Driven Adaptive Mission Planning for a Solar-Powered Autonomous Surface Vessel (opens in a new tab)

The Role of AI and Autonomous Systems in Navigating China’s Future Maritime Sustainability and Blue Economy Governance (opens in a new tab)

Development of a Solar Autonomous Boat Navigation Guidance System for Future Swarm Unmanned-Surface-Vehicle Implementation (opens in a new tab)

Neptune Robotics Invests US$12mn in New Singapore Factory to Drive Five-Fold Increase in Autonomous Ship Hull Cleanings (opens in a new tab)

South Korean province seeks autonomous ship zone off Geoje for Samsung Heavy trials (opens in a new tab)

A Review of Ship Path Planning: Models, Algorithms, and Challenges (opens in a new tab)

Dynamic Trajectory Tracking and Autonomous Berthing Control of a Container Ship Based on Four-Quadrant Hydrodynamics (opens in a new tab)

“SMR ships, AI autonomous vessels, and green energy transition essential” [20th World Maritime Forum] (opens in a new tab)

News Content Hub - Fugro secures €150M financing to develop uncrewed vessel technology (opens in a new tab)

Rethinking Port Charges in the Age of Autonomous Shipping (opens in a new tab)

Sail-powered autonomous vessel completes solo trans-Atlantic crossing from Canary Islands to Barbados (opens in a new tab)

Energy–Time Co-Optimization for Autonomous Ship Berthing in Complex Ocean Currents Using an Improved hp-Pseudospectral Optimal Method (opens in a new tab)

Next-generation autonomous vessels and the IMO's decarbonization goals (opens in a new tab)

Jiangsu Ocean Shipping to trial autonomous tech on inland vessels (opens in a new tab)

A Machine Learning Operations Framework for Self-Adaptive Anomaly Detection in Autonomous Surface Ships Under Data Drift (opens in a new tab)

Risk-Aware Deep Learning Method for Compressing Vessel AIS Trajectories (opens in a new tab)

Maritime Security and Risk Assessments—2nd Edition: From Risk Identification to Decision Support and System Resilience (opens in a new tab)

LONG-TERM OPERATIONAL MODEL OF AUTONOMOUS UNDERWATER VEHICLES (AUV) FOR MARITIME DEFENSE AND SECURITY (opens in a new tab)

RAD secures £4.4m to expand autonomous vessel systems and electric propulsion portfolio (opens in a new tab)

First Voyage of the Electric and Autonomous Ship “Yara Birkeland” (opens in a new tab)

‘Autonomous ships could slash fuel costs’... HJ Heavy Industries teams up with HD Hyundai to begin development (opens in a new tab)

Germany’s New Floating Lab MODULARIS To Test Future Autonomous Ship Tech, Propulsion Systems (opens in a new tab)

Neptune Robotics invests $12M in new Singapore factory to boost autonomous ship hull cleanings (opens in a new tab)

Ministry of Oceans and Fisheries to boost port productivity by 30% with AI, challenging for global autonomous ship leadership (opens in a new tab)

Maritime drones: Unmanned vessels that travel 1,000 miles with minimal energy! Could they be seen in the Aegean? (opens in a new tab)

Green fuels, autonomous ships, new skills: How Singapore is future-proofing its shipping industry (opens in a new tab)

GasTech 2026 sees deals for new vessel designs, autonomous navigation and wind-assisted propulsion (opens in a new tab)

Dual-Agent Hierarchical Reinforcement Learning for Typhoon-Avoidance Route Planning of Ships Under Dynamic Wind–Wave–Current Fields (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)

An improved A* algorithm and its application in path planning for unmanned surface vehicles (opens in a new tab)

RAD Secures £4.4 Million for Autonomous Vessel Systems & Electric Propulsion (opens in a new tab)

RAD Secures Funding To Scale Autonomous Vessel Technology And Electric Propulsion (opens in a new tab)

Celestial navigation for autonomous systems in GPS contested environments (opens in a new tab)

Fleetzero, Thoma-Sea and Glosten team up on autonomous vessel solutions (opens in a new tab)

MSB for Autonomous Power Plant with SEFR circuit breakers (opens in a new tab)

Decision-making tools enabling sustainable maintenance strategies of naval systems: a comparison of multi-criteria approaches (opens in a new tab)

Fugro secures €150M financing to develop uncrewed vessel technology (opens in a new tab)

Autonomous roro vessel wins green light from Japan (opens in a new tab)

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

The Future of the Law of the Sea: Emerging Challenges and the Niger Delta in a Changing Maritime Order (opens in a new tab)

An Autonomous GeoAI Agent for Arctic Eco-Navigation (opens in a new tab)

Samsung Heavy Industries Secures US LNG Bunkering Vessel Approval, Expands 'Shipbuilding Alliance' to Unmanned Surface Vessels (opens in a new tab)

Circeo wants to put data centers on autonomous sail-powered vessels (opens in a new tab)

Advancements in Maritime Safety and Risk Assessment (opens in a new tab)

Autonomous sailing with sim-to-real reinforcement learning (opens in a new tab)

Fleetzero, Thoma-Sea, and Glosten Announce Collaboration to Deliver Long-Duration Autonomous Vessels (opens in a new tab)

Fleetzero, Thoma-Sea, Glosten Announce Deal on Autonomous Vessels (opens in a new tab)

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

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

An Investigation on Wake Control Mechanism and Performance Optimization of the Flow-interrupting Plate in Unmanned Sailing Vessels (opens in a new tab)

Hybrid Vision Perception for Low-Cost Autonomous Vehicle Navigation (opens in a new tab)

Hydrodynamics-aware formation control for energy-efficient multi-vessel systems: A review (opens in a new tab)

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

Maintenance management in shipping: the intricate interplay between organizations, technology, and humans (opens in a new tab)

Circeo imagines an autonomous trimaran to host tomorrow's data centers (opens in a new tab)

Explainable Failure Prediction and Prevention in Maritime (opens in a new tab)

Ship Safety Analysis in Indonesia: Determining Crew Competence, Port Digitalization and Ship Technology Innovation (opens in a new tab)

Towards Autonomy Crew Transfer and Service Vessels in Offshore Wind Farms: Technologies, Challenges, and Research Gaps (opens in a new tab)

Korea backs shipbuilders to adopt domestic green, autonomous equipment - CHOSUNBIZ (opens in a new tab)

Wind-propelled ships for maritime decarbonization: Technologies, global deployment, and engineering challenges (opens in a new tab)

Hyundai Heavy develops AI system for ship coating inspections (opens in a new tab)

Buoying strategic maritime autonomy (opens in a new tab)

AI-powered autonomous robot wins innovation award for detecting and collecting marine litter (opens in a new tab)

Busan pushes for eco-friendly, South Gyeongsang for AI, Ulsan for autonomous navigation... Shipbuilding industry restructuring underway (opens in a new tab)

Researchers at NCSR Demokritos design marine drone to collect sea waste (opens in a new tab)

AI in Shipbuilding: 1.4 trillion Won Key Lies in 'Data Connection' Linking Design to Robots and Autonomous Navigation (opens in a new tab)

K-shipbuilding invests 1.4 trillion in AI transformation—expanding beyond autonomous navigation to shipyards and equipment (opens in a new tab)

From eco-friendly ships to AI autonomous navigation: '2026 International Marine Energy Plant Expo' opens on the 14th (opens in a new tab)

Contribution of Ship Berthing to Surface Water Pollution in Selected Harbours in Rivers State (opens in a new tab)

Strengthening AI, eco-friendly, and autonomous navigation technologies... Leading the future ship market (opens in a new tab)

HMM expands AI autonomous shipping fleet, saving fuel with 0.1-degree fine adjustments (opens in a new tab)

A state-of-the-art review on crew competence in maritime and nuclear remote operations (opens in a new tab)