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Human factors & training

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01crossref2026-04-29Natanael Suranta, Tri Cahyadi, Irfan FaozunDOI ↗ (opens in a new tab)

Legal Accountability of Deck Officers in Maritime Autonomous Surface Ships: A Normative Analysis of COLREGS and STCW Compliance Gaps in Indonesian Domestic Shipping (opens in a new tab)

This study analyzes legal gaps in regulating Maritime Autonomous Surface Ships (MASS) under existing frameworks like COLREGS, STCW, and Indonesian Law No. 17 of 2008. It identifies three key issues: undefined legal responsibility for autonomous decisions, outdated STCW standards for remote operations, and unclear liability among flag states, operators, and tech developers. Using legal and comparative analysis, the research proposes a layered accountability model for Indonesia’s domestic shipping sector. The findings aim to guide regulatory reforms for MASS integration.

02openalex2026-09-18Lu Liu, Yuan He, Xinwei Liu, Zhijian Sun +1 moreDOI ↗ (opens in a new tab)

Human-in-the-loop COLREGs-compliant platoon formation control of maritime autonomous surface ships via finite state machine (opens in a new tab)

This study presents a control system for maritime autonomous surface ships (MASSs) that integrates human supervision into platoon navigation while adhering to COLREGs collision avoidance rules. A virtual leader allows human operators to adjust the platoon’s speed, while a finite state machine identifies encounter scenarios and applies safety constraints via control barrier functions. The system uses a cooperative path-following guidance law and quadratic optimization to balance collision avoidance with platoon coordination. Simulations confirm the approach effectively maintains formation and complies with maritime safety regulations.

03openalex2026-08-19P. Maes, Erin R. McMahon, Doreen Jirak, Dirk van Rooy +4 moreDOI ↗ (opens in a new tab)

Towards Human Factors Evaluation of Interactions with Maritime Autonomous Surface Ships Using Full Mission Bridge Simulators: The Conventional Officer’s Perspective (opens in a new tab)

This study examines how Maritime Autonomous Surface Ships (MASS) interact with crewed vessels, focusing on the challenges faced by conventional Officers of the Watch (OOW) during collision avoidance. It introduces a framework analyzing situational awareness, mental models, and decision-making in mixed-traffic scenarios. Key issues include communication gaps, uncertainty about MASS capabilities, and trust in autonomous systems. The paper proposes using Full Mission Bridge Simulators to study OOW behavior and decision-making in these encounters.

04openalex2026-08-04Xinyue Nian, Deling Wang, Xinqiang ChenDOI ↗ (opens in a new tab)

Risk Evaluation of Maritime Autonomous Surface Ship Operations: A Formal Safety Assessment Approach (opens in a new tab)

This paper introduces a Formal Safety Assessment (FSA) framework to evaluate risks in Maritime Autonomous Surface Ship (MASS) operations, addressing gaps in traditional methods that rely on crewed-ship data. It establishes a hierarchical risk indicator system across five dimensions—ship machinery, human factors, environment, information technology, and management—using frequency and severity indices to classify risks. A case study with 50 experts found MASS operations fall within the "ALARP" (tolerable) risk region, with environmental, IT, and machinery factors posing the highest risks. Key contributors to overall risk include environmental perception, navigation decision-making, and communication capability.

05crossref2026-04-21Tun Hao Hsu, Hui-Huang TaiDOI ↗ (opens in a new tab)

RECOMMENDED ADJUSTMENTS TO SHIP CREW TRAINING IN PREPARATION FOR LEVEL 2 MARITIME AUTONOMOUS SURFACE SHIP TECHNOLOGIES (opens in a new tab)

This paper examines adjustments needed for ship crew training to prepare for Level 2 Maritime Autonomous Surface Ship (MASS) technologies. Using the decision analytic network process, the study identifies crew competencies as the most critical factor. Recommended training includes monitoring MASS decision-making, integrating software and hardware, and artificial intelligence. The authors also suggest a modular design approach for MASS vessels.

06openalex2026-10-27Steven Mallam, Kjetil Nordby, Etienne Gernez, Engy Awad +4 moreDOI ↗ (opens in a new tab)

Developing a Remote Operations Center for Uncrewed and Autonomously-Capable Maritime Surface Ships (opens in a new tab)

This paper presents a design case study for a Remote Operations Center (ROC) supporting an 8-meter uncrewed autonomous test ship in North Atlantic Canadian waters. Researchers conducted user-centered workshops and design iterations to refine the ROC’s physical workspace and human-machine interfaces for shoreside operators. The study offers methodological and design insights for MASS ROC development. It also establishes a framework for future human-performance testing involving ROC operators and autonomous ships.

07crossref2026-09-01J.H. Park, Chybyung Park, Han-Seon ParkDOI ↗ (opens in a new tab)

The role of Marine Aids to Navigation in Maritime Autonomous Surface Ships and the economic implications of remote operator training: A Korean perspective (opens in a new tab)

This study explores the importance of smart marine aids to navigation (AtoN) for Maritime Autonomous Surface Ships (MASS) and assesses the economic impact of remote-operator training in Korea. It highlights the need for institutionalized training programs, as current education lags behind technological advancements. Using a market-opportunity framework, the research estimates potential economic benefits ranging from USD 606.8 million to USD 6.07 billion, depending on program length and market capture. The findings suggest that MASS training could enhance Korea’s maritime workforce and create a specialized education market.

08crossref2026-06-19Tymoteusz Miller, Irmina DurlikDOI ↗ (opens in a new tab)

How Far from the Shore? Federated Maritime Intelligence for Autonomous Ship and Harbor Maneuvering (opens in a new tab)

This paper reviews research on autonomous ship and harbor maneuvering from 2015 to 2026, covering control systems, AI, sensor fusion, digital twins, and logistics. It introduces a seven-layer cyber-physical taxonomy and a maturity model to assess integration levels, from isolated vessel autonomy to fully federated systems. While progress has been made in individual areas like control and perception, gaps remain in cross-layer coordination, cybersecurity, and regulatory compliance. The authors propose a Federated Maritime Cyber-Physical Architecture to improve interoperability and resilience in autonomous harbor operations.

09crossref2026-07-01Yifan XuDOI ↗ (opens in a new tab)

Legal Research on the Freedom of Navigation of Maritime Autonomous Surface Ships in the Exclusive Economic Zone (opens in a new tab)

The paper examines legal challenges posed by Maritime Autonomous Surface Ships (MASS) to the freedom of navigation in Exclusive Economic Zones (EEZ) under UNCLOS. It identifies three key issues: weakened flag State jurisdiction, conflicts between navigation freedom and coastal State security, and difficulties in enforcing the "due regard" obligation due to technical limitations. The author argues that China, as a major coastal State, should push for a "systemic jurisdiction" framework, including a navigation notification system and updated interpretations of "due regard." This approach aims to align AI-driven maritime navigation with UNCLOS while protecting national security and marine ecosystems.

10openalex2026-07-01Emre Akyuz, Selcuk Cebi, Agus HasanDOI ↗ (opens in a new tab)

Application of complex spherical fuzzy failure mode, effects, and criticality analysis for assessing potential risk of Maritime Autonomous Surface Ships (MASS) (opens in a new tab)

This study applies complex spherical fuzzy failure mode, effects, and criticality analysis (FMECA) to assess risks in Maritime Autonomous Surface Ships (MASS). The method integrates fuzzy sets to handle uncertainty and interconnected failures in autonomous maritime systems. Expert evaluations, combined using fuzzy aggregation, determined severity, occurrence, and detectability of failure modes, producing a risk priority number (RPN). The highest RPN was assigned to the human-machine interface (HMI), identifying it as the most critical failure mode for MASS operations.

11crossref2026-05-28Павло Носов, Oleksiy Melnyk, Tomáš Kalina, Martin Jurkovič +4 moreDOI ↗ (opens in a new tab)

Fractal–Episodic Assessment of Ship Control Microvariability for Human-Factor-Aware Navigation Risk Monitoring in Maritime Autonomous Systems (opens in a new tab)

This study introduces a fractal–episodic framework to analyze ship-control microvariability for navigation risk monitoring in Maritime Autonomous Surface Ships (MASS). The method processes AIS/ECDIS trajectory data using sliding-window analysis, fractal measures (Higuchi, DFA, Katz), and weighted aggregation to generate a chaos score and confidence index. It converts micro-motion irregularities into interpretable passage-level indicators for human-factor-aware risk assessment. The approach aims to enhance decision-support systems in autonomous maritime operations.

12crossref2026-05-21Fitri MaharaniDOI ↗ (opens in a new tab)

Anchoring Legal Certainty upon the Liability Ambiguities of Autonomous Vessels under International Maritime Law (opens in a new tab)

The paper examines legal uncertainties surrounding Maritime Autonomous Surface Ships (MASS) under current international maritime law, which remains human-centered. It highlights gaps in regulations due to AI-driven operations that separate control from the physical vessel. The study proposes redefining the captain’s role, the ship’s legal status, and shifting liability from fault-based to strict or product liability. It also recommends restructuring responsibilities from individuals to systems to improve legal predictability and flag state oversight.

13crossref2026-09-06Christophe Mundutéguy, David GuerreroDOI ↗ (opens in a new tab)

The development of maritime autonomous surface ships (MASS) from seafarers’ perspective: operational, spatial, and labour implications (opens in a new tab)

The paper examines maritime autonomous surface ships (MASS) from the perspective of seafarers, focusing on operational, spatial, and labour impacts. Interviews with maritime professionals reveal tensions between automation and manual tasks, challenges in complex coastal areas, and mixed views on the future of maritime jobs. Findings suggest MASS will redefine rather than eliminate human labour, requiring regulatory, training, and infrastructure adjustments. The study advocates for a human-centric transition framework that accounts for spatial differences and occupational expertise.

14openalex2026-07-08Natasya Habibah, Paul Hegarty, Breda KennyDOI ↗ (opens in a new tab)

A Human-Centred View of Maritime Autonomous Surface Ships Operations Using the SHELL Model (opens in a new tab)

This study uses the SHELL model (Software, Hardware, Environment, Liveware) to create a human-focused framework for Maritime Autonomous Surface Ships (MASS). It examines how humans interact with AI-driven systems, considering regulatory software, system hardware, environmental factors, and human roles. The framework aims to improve safety and reliability by addressing key challenges in human-machine integration. It provides a foundation for future research on complex MASS operations.

15crossref2026-07-17Felix-Marcel PetermannDOI ↗ (opens in a new tab)

Human Factors Contributing to Remote Operation and Supervision of Autonomous Vessel Operations (opens in a new tab)

The paper examines human factors in remote supervision of autonomous vessels, highlighting that automation shifts rather than removes human roles, moving control from onboard crews to shore-based Remote Operation Centres (ROCs). Key challenges include reduced sensory cues, vigilance decline, situation awareness gaps, mode confusion, and delayed intervention during emergencies. Using a maritime failure case, the study proposes design guidelines to improve remote operation resilience, demonstrated through tools like the Maritime Head-Up Display (mHUD) and Digital Fire Central (DFC). Effective remote operations depend on interfaces and feedback systems aligned with human cognitive and perceptual needs.

16crossref2026-07-10Karim HardyDOI ↗ (opens in a new tab)

Engineering Safety Requirements for Maritime Autonomous Surface Systems: Hazard Scenarios, Control Loss, and Recovery in Degraded Operations (opens in a new tab)

This paper examines safety challenges in maritime autonomous surface systems, highlighting risks from degraded communication, unclear control authority, and delayed human intervention. It analyzes 80 documented hazard scenarios from regulations, trials, and incident reports to identify key risk areas like remote supervision, control links, and navigation interactions. The study proposes a safety engineering approach to define control constraints and recovery requirements, emphasizing the need for explicit degraded modes, fallback behaviors, and emergency coordination. Findings show safety depends more on system design and recovery protocols than autonomy level alone.

17openalex2026-05-29Anthony Saaiby, Mayur S. Patil, Prabhakar R. Pagilla, Sivakumar Rathinam +1 moreDOI ↗ (opens in a new tab)

A Framework for Identification and Prioritization of Critical Factors in Transition Between Manual and Autonomous Navigation Functions in Marine Vessels (opens in a new tab)

This paper introduces a framework to identify and prioritize critical safety factors during transitions between manual and autonomous navigation in marine vessels. Using System-Theoretic Process Analysis (STPA), the authors analyze hazards, model control structures, and pinpoint unsafe actions like delayed transitions or alarm failures. The method was applied to an autopilot system between two ports, leveraging maritime incident reports to uncover risks. Findings aim to guide safety improvements for Maritime Autonomous Surface Ships (MASS) in mixed fleets.

18openalex2026-06-01Sujin Jung, Yongjohn ShinDOI ↗ (opens in a new tab)

Core Onboard Functions for Crewed Ships Under Hybrid Autonomous Operations with Remote Operation Center Supervision: A Delphi-Based Study (opens in a new tab)

This study used a three-round Delphi method with 20 maritime experts to identify essential onboard functions for crewed ships under hybrid autonomous operations with Remote Operation Center (ROC) supervision. Four key function groups were validated: Management, Operation and Control, Maintenance and Recovery, and Automation/ICT/Network, all meeting importance and stability criteria. "Operation and Control" ranked highest in expert agreement, emphasizing the need for onboard decision-making, manual control, and technical recovery. The findings provide a basis for manning, training, and regulatory frameworks for Maritime Autonomous Surface Ships (MASS).

19crossref2026-09-11Xiaojie ZhangDOI ↗ (opens in a new tab)

Safety Analysis of Collision Avoidance for Semi-Autonomous Navigation Ship Based on STPA-CREAM (opens in a new tab)

This study analyzes safety risks in semi-autonomous navigation ships using System-Theoretic Process Analysis (STPA) to model interactions in encounter scenarios and identify potential hazards. To strengthen human factors analysis, the Cognitive Reliability and Error Analysis Method (CREAM) is integrated with STPA. The combined STPA-CREAM approach provides targeted recommendations to enhance the safety of semi-autonomous navigation systems. The research focuses on improving navigation efficiency while addressing risks in intelligent ship operations.

20Ocean News & Technology2026-07-22

Experienced Captains Vs. AI: Setting A New Course For Autonomous Ship Navigation (opens in a new tab)

A 2026 study compares the navigation performance of experienced ship captains with AI-driven autonomous systems. The article explores how AI technologies are being tested to match or surpass human decision-making in complex maritime environments. It highlights ongoing trials and regulatory challenges in adopting fully autonomous ships. The discussion focuses on safety, efficiency, and the future of crewed versus uncrewed vessels.

21openalex2026-05-07Henrik RingbomDOI ↗ (opens in a new tab)

Regulatory challenges linked to MASS (opens in a new tab)

The paper examines regulatory challenges posed by Maritime Autonomous Surface Ships (MASS) at the international level. Key issues include adapting MASS to the law of the sea, particularly regarding passage rights and flag state responsibilities. Technical regulation is progressing through the draft MASS Code, though gaps remain in areas like collision avoidance (COLREGs) and watchkeeping. The shift from human-operated to autonomous vessels also raises unresolved questions about civil liability for damages.

22openalex2026-04-09Joel Jose, Andreas Madsen, Andreas Brandsæter, Tor A. Johansen +1 moreDOI ↗ (opens in a new tab)

"Why This Avoidance Maneuver?" Contrastive Explanations in Human-Supervised Maritime Autonomous Navigation (opens in a new tab)

This paper examines how to improve transparency in maritime collision avoidance systems for human supervisors. It introduces contrastive explanations, comparing a system’s proposed maneuver with alternatives to clarify decision-making. A study with four marine officers found these explanations helpful, especially in complex multi-vessel scenarios, but noted increased cognitive workload. The authors suggest future interfaces should offer explanations on demand or tailored to specific situations.

23openalex2026-04-22Achema Iyamadi Timothy, A. A. Obiniyi, J. B. AgbogunDOI ↗ (opens in a new tab)

A Systematic Literature Review of Cybersecurity Risks in Autonomous and Digitalised Maritime Systems (opens in a new tab)

This systematic review examines cybersecurity risks in digitalised and autonomous maritime systems, analyzing 52 studies from 2018–2025. It identifies three key themes: risk assessment frameworks, vulnerabilities in cyber-physical systems, and challenges in human factors, regulations, and validation. The findings highlight the use of hybrid risk models and AI-driven approaches but note gaps in real-world testing, regulatory alignment, and human-centric solutions. The study calls for standardized, empirically validated cybersecurity frameworks and improved maritime-specific training.

24openalex2026-03-31Dwitya Harits Waskito, Rafet Emek Kurt, Osman TuranDOI ↗ (opens in a new tab)

Comprehensive literature review of systemic safety analysis: trends and development in the maritime sector☆ (opens in a new tab)

This study reviews system-theoretic safety approaches (STAMP, STPA, CAST) in the maritime sector using a hybrid methodology combining PRISMA, bibliometrics, and scoping. STPA is identified as the dominant method, particularly for Maritime Autonomous Surface Ships (MASS) and remote operations. Key gaps include limited validation, inconsistent loss scenario treatment, and weak integration of human and organizational factors. The review of 76 papers (2015–2024) highlights STPA’s growing use and its integration with quantitative methods like QRA.

25Marine Industry News2026-06-26

Royal Navy USV crashing into yacht raises questions over autonomous vessels in busy harbour (opens in a new tab)

A Royal Navy uncrewed surface vessel (USV) collided with a yacht in a busy harbor, prompting concerns about the safety and reliability of autonomous vessels in high-traffic areas. The incident has sparked debate over regulations and operational protocols for unmanned maritime systems. Authorities are reviewing the circumstances to assess potential risks and improvements. The event highlights challenges in integrating autonomous technology into shared waterways.

26openalex2026-09-15Min Zhang, Fang Li, Sichao Chen, Hao WangDOI ↗ (opens in a new tab)

Pioneering a compound maritime legal ecosystem integrating "Legal AI" and "AI Law" (opens in a new tab)

The paper explores the emerging compound maritime legal ecosystem resulting from the Maritime Autonomous Surface Ship (MASS) Code, which governs both traditional and autonomous vessels. It highlights tensions between existing legal rules and AI governance, as well as challenges in establishing theoretical foundations for complex legal systems. The authors discuss the need for interconnected regulations to manage multi-level intelligent ships. The work focuses on integrating "Legal AI" and "AI Law" within this evolving framework.

27crossref2026-09-14DymasDOI ↗ (opens in a new tab)

Pengembangan Autonomous Unmanned Surface Vehicle Nasional Untuk Pertahanan Maritim Dan Penanggulangan Bencana (opens in a new tab)

This study proposes developing a national autonomous unmanned surface vehicle (USV) for Indonesia to enhance maritime defense and disaster response. Current USV capabilities in Indonesia are limited to prototypes without sustainable operational integration. The research recommends creating an integrated system with modular platforms, control centers, and layered communications, supported by domestic industry and cross-agency collaboration. The goal is a versatile USV for surveillance, logistics, and search-and-rescue missions while maintaining human oversight.

28openalex2026-04-09Derar Al-DaboubiDOI ↗ (opens in a new tab)

The efficacy of the UAE legislation in regulating the liability of the maritime carrier in the era of automated shipping (opens in a new tab)

This paper analyzes the legal challenges of regulating liability for maritime carriers using autonomous vessels under UAE legislation. It focuses on defining the roles and responsibilities of the Shore-Based Controller (SBC), voyage programmers, and software providers, as well as addressing liability in cases of cyberattacks. The study recommends updates to international conventions and UAE Maritime Law (UAEML) to clarify liability for third-party actions and cyber threats. It also highlights gaps in UAEML regarding unseaworthiness caused by faults in software or hardware systems.

29Splash2472026-09-23

Germany gives vessel traffic controllers an AI copilot (opens in a new tab)

German researchers are creating an AI system to assist vessel traffic controllers in managing waterways with conventional, automated, and autonomous ships. The LEAS-PRO project, led by Fraunhofer FKIE, will develop a demonstrator that analyzes traffic data and provides risk assessments and recommendations to operators. The goal is to enhance situational awareness and reduce cognitive strain without replacing human controllers. The project is set to continue until July 2028.

30openalex2026-09-17Muhaidir Ikram, Josafat Gracia Ginting, Muh Nurfadel HamzahDOI ↗ (opens in a new tab)

The Role of Management in Developing Seafarers’ Digital Skills for Artificial Intelligence-Driven Maritime Transformation: A Systematic Literature Review (opens in a new tab)

This systematic review examines management's role in developing seafarers' digital skills for AI-driven maritime transformation. Key management responsibilities include governing competency standards, designing reskilling programs, leading organizational change, and ensuring operational readiness in safety and cybersecurity. The most critical competencies identified are digital literacy, AI and data literacy, cybersecurity, and cognitive-social skills like decision-making and communication. Challenges include outdated regulations, limited infrastructure, funding constraints, and gaps in training effectiveness, emphasizing the need for a coordinated framework among industry stakeholders.

31openalex2026-09-10Doreen Jirak, Armeen Saroukanoff, Dirk van RooyDOI ↗ (opens in a new tab)

Understanding Operator Attitudes Toward AI-Supported Decision Making in Maritime Operations (opens in a new tab)

A survey of maritime stakeholders assessed attitudes toward AI-supported collision-avoidance systems. Participants showed general openness to maritime technology, with no age-related differences, and stable trust across scenarios, though explanation quality varied. Open responses highlighted appreciation for decision support and situation awareness but raised concerns about AI reliability and over-reliance. The study recommends designing AI systems for calibrated reliance with transparent, expert-informed features.

32openalex2026-10-01Marko Perkovič, Ivica Pavić, Maciej Gucma, Sebastian Feuerstack +1 moreDOI ↗ (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)

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.

33openalex2026-09-23DOI ↗ (opens in a new tab)

ADOPTION OF AUTONOMOUS MARITIME TOURISM IN EMERGING MARKETS: A DISCRIMINANT ANALYSIS OF BEHAVIOURAL INTENTION AMONG INDIAN TOURISTS (opens in a new tab)

This study explores factors influencing Indian tourists' acceptance of Autonomous Maritime Tourism (AMT), an AI-driven innovation in smart ports and navigation. Using the Technology Acceptance Model and Diffusion of Innovation theory, it surveyed 237 Indian tourists and analyzed data via discriminant function analysis. Social influence emerged as the strongest predictor of behavioral intention, followed by relative advantage, perceived complexity, and facilitating conditions. The findings highlight that social validation and perceived benefits outweigh risk factors in shaping AMT adoption in India.

34EdexLive2026-09-18

IIT Madras students win Njord Autonomous Ship Challenge in Norway (opens in a new tab)

A team of students from IIT Madras won the Njord Autonomous Ship Challenge held in Norway. The competition focused on designing and operating autonomous ships. The event took place in September 2026. Their victory highlights the team's expertise in maritime automation and engineering.

35Education Times2026-09-18

YOUNG ACHIEVERS: IIT Madras Ocean Engineering students win Njord Autonomous Ship Challenge in Norway (opens in a new tab)

A team of Ocean Engineering students from IIT Madras won the Njord Autonomous Ship Challenge held in Norway. The competition focused on designing and operating autonomous ships. The victory highlights the students' expertise in maritime technology and innovation. The event took place in September 2026.

36openalex2026-07-28Simona Aracri, Fausto Ferreira, Angelo Odetti, Giorgio Bruzzone +14 moreDOI ↗ (opens in a new tab)

Citizens marine pilots: Increasing autonomous surface vehicles navigation capabilities with and for the public (opens in a new tab)

The paper discusses the MONUSEN project, an EU-funded initiative enhancing public engagement in marine robotics to support UN Sustainable Development Goal 14 (Life below Water). It involved two public activities: demonstrating MARUS, a simulator for realistic maritime environments, and allowing participants to pilot the SWAMP autonomous surface vehicle (ASV) for data collection. These activities successfully engaged diverse groups, improving public understanding of autonomous vehicle control and marine technology. The project bridged gaps between citizens and scientists, fostering interdisciplinary collaboration.

37openalex2026-05-07Unho LeeDOI ↗ (opens in a new tab)

Navigating autonomy with human control (opens in a new tab)

The paper compares Japan and Korea’s regulatory approaches to maritime autonomous surface ships (MASS), focusing on human oversight and accountability. Japan uses evolving guidelines, like the 2025 MASS Safety Standards, to define roles for crews and remote operators in supervising autonomous systems. Korea’s 2023 MASS Act establishes a regulatory sandbox with exemptions for trials, requiring insurance and operational approvals. Both countries align with the IMO’s cautious, human-in-the-loop direction, emphasizing collaboration for safe global deployment.

38해양레저신문2026-10-22

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

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

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.

40openalex2026-06-29Xiao Liu, Yong Wu, Cong Wang, Hua DengDOI ↗ (opens in a new tab)

Core Competency Development Pathways for Navigation Technology Students Oriented to the Staged Evolution of Autonomous Navigation in Intelligent Ships (opens in a new tab)

This study identifies five stages of autonomous navigation in intelligent ships, based on IMO and China Classification Society guidelines. It proposes a competency framework for Navigation Technology students, emphasizing skills like smart equipment use, remote control, human-machine collaboration, and data analysis alongside traditional seamanship. The authors recommend updating training objectives, curricula, practical teaching, and assessments to align with these evolving demands. The findings aim to guide educational reforms in navigation programs.

41openalex2026-04-28Yoshiaki Kunieda, Akihiro Nunome, Emi Kanayama, Naruphun ChotechaungDOI ↗ (opens in a new tab)

Accident Prevention Based on Maritime Collision Cases in a Port: AI-based Measures to Prevent Ship Collision Accidents (opens in a new tab)

This study examines a 2022 ship collision in Nagoya Port caused by miscommunication via VHF radio and human error, particularly misunderstandings about vessel maneuvers at low speeds. It proposes a "digital passing agreement" system using AIS to convert verbal agreements into machine-readable data, displayed on navigation systems to improve clarity and compliance. The system detects deviations from agreed paths and integrates with Vessel Traffic Services for alerts and third-party input. The approach aims to reduce human error and improve situational awareness in port operations.

42Marine Technology News2026-04-10

SeaBot Maritime, GRi Simulations and Frontier Robotics Feature Human-AI Autonomous Maritime Training Platform (opens in a new tab)

SeaBot Maritime, GRi Simulations, and Frontier Robotics collaborated to develop a human-AI autonomous maritime training platform. The platform aims to enhance training for maritime operations by integrating artificial intelligence. It was featured in a demonstration highlighting its capabilities. The system is designed to improve efficiency and safety in maritime environments.

43openalex2026-10-07Abdullah Al ArifDOI ↗ (opens in a new tab)

Autonomous Fishing Vessels and International Law: Testing the Limits of the Law of the Sea Convention in the Age of Autonomy (opens in a new tab)

The paper explores legal challenges posed by autonomous fishing vessels (AFVs) under the UN Convention on the Law of the Sea (LOSC). It highlights gaps in the LOSC framework, including issues of vessel classification, jurisdiction, safety, and environmental protection due to its human-centric assumptions. The study argues that AFVs require legal adaptations to address ambiguities in coastal and flag State responsibilities. Such changes are needed to ensure regulatory clarity and sustainable fisheries management.

44openalex2026-06-01Klaas De Hert, Marcella Castells-Sanabra, Clara Borén, Cristina Campos +2 moreDOI ↗ (opens in a new tab)

Preparing MASS Operators for Port and Short-Sea Operations: Linking Industry Experience with Training Design (opens in a new tab)

This study examines training needs for shore-based Remote Operation Centre (ROC) operators managing Maritime Autonomous Surface Ships (MASS) in ports and short-sea settings. Interviews with ROC providers highlight key competences like estuarial navigation, system understanding, screen-based situational awareness, and structured communication, alongside soft skills such as teamwork and stress management. While existing training frameworks align with core competences, they underemphasize context-specific challenges like multi-vessel coordination in confined waters. The findings advocate for tailored MET curricula integrating simulator-based training and scenario development for port and short-sea operations.

45openalex2026-05-07Frank StevensDOI ↗ (opens in a new tab)

Autonomous ships – do we need a MASS master? (opens in a new tab)

The paper examines the evolving role of ship masters with the rise of remotely operated and autonomous vessels (MASS). Traditional authority of masters has already diminished due to improved communication technology and increased ship owner control. It questions whether appointing a master for MASS is legally necessary or the best solution. The author suggests exploring alternative approaches to address legal and operational challenges.

46Åbo Akademi2026-10-12

From simulation to sea: students test autonomous vessel on Åland (opens in a new tab)

Students from Åbo Akademi tested an autonomous vessel in real-world conditions on Åland after initial simulations. The project aimed to transition the technology from virtual testing to practical maritime application. The trial focused on evaluating the vessel's performance and navigation capabilities in open water. No specific outcomes were detailed in the provided text.

47WorkBoat2026-10-08

Sea Machines hires Bradbury to lead autonomous vessel programs (opens in a new tab)

Sea Machines has appointed Bradbury to head its autonomous vessel programs. The move aims to strengthen the company’s leadership in maritime autonomy. Bradbury will oversee the development and implementation of self-navigating ship technologies. The hiring was announced on October 8, 2026.

48crossref2026-06-01L. Grbić, M. Koren, I. Mišlov, K. LovničkiDOI ↗ (opens in a new tab)

Using Eye-Tracking Insights to Redesign Maritime Navigation Instruments (opens in a new tab)

This study examines how eye-tracking data can improve the design of maritime navigation instruments like ECDIS and radar. Researchers are analyzing gaze patterns, fixation durations, and cognitive workload in simulated bridge environments to identify ergonomic flaws such as poor symbol placement, color contrast, and visual clutter. The goal is to propose redesigns that reduce human error, particularly for less experienced navigators. Findings may inform both equipment manufacturers and maritime training programs.

49L'Indépendant2026-09-24

War in Ukraine: Company recruits Formula 1 engineers for next-generation naval drones (opens in a new tab)

A Ukrainian company is recruiting Formula 1 engineers to develop next-generation naval drones amid the ongoing war. The firm claims these engineers provide a high-quality talent pool for advanced military technology. The move aims to enhance Ukraine’s drone capabilities for maritime operations. The report highlights the intersection of motorsport expertise and defense innovation.

50openalex2026-06-24taemin hwang, Ik-Hyun YounDOI ↗ (opens in a new tab)

<b>Real-Time Steering Guidance Model for MASS Remote Operators Using Few-shot Analogous Episodes</b> (opens in a new tab)

This paper introduces a real-time steering guidance model for remote operators managing multiple maritime autonomous surface ships (MASS). It focuses on retrieving similar past operational episodes based on current ship conditions and training a few-shot dataset. The approach incorporates Human-Computer Interaction (HCI) principles to provide effective steering recommendations. The goal is to assist operators in handling multiple vessels simultaneously.

51crossref2026-05-19Tinotenda Chimbwanda, Tyler Bettencourt, Nathalie Risso, Tejo Bheemasetti +2 moreDOI ↗ (opens in a new tab)

Surface Mine Planning Adaptations for the Integration of Autonomous Haulage Systems: A Review (opens in a new tab)

This paper reviews how surface mine planning must adapt to integrate Autonomous Haulage Systems (AHS) in open-pit metal mining. Key changes include workforce dynamics, communication infrastructure, and haul road design, with debates on optimal road width and load channelization. The study emphasizes the need for holistic, data-driven mine design and better human-autonomous collaboration. Empirical validation of workforce transition strategies is also highlighted for safer and more effective AHS deployment.

52openalex2026-09-08Samira Alkaee Taleghan, Younghyun Koo, Farnoush Banaei‐KashaniDOI ↗ (opens in a new tab)

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.

53crossref2026-06-01Paško Ivančić, Zaloa Sanchez-VarelaDOI ↗ (opens in a new tab)

Rethinking the Security of Ship Communication Systems: A Systemic Perspective on GMDSS Vulnerabilities in Maritime Transport (opens in a new tab)

The paper examines security vulnerabilities in the Global Maritime Distress and Safety System (GMDSS), highlighting risks like unauthorized access, false distress alerts, and manipulated safety information due to weak authentication and validation. It argues that these issues stem from systemic gaps in governance, procedures, and security integration rather than technical failures alone. The study calls for a holistic approach, combining technological, procedural, human, and regulatory measures to strengthen GMDSS security. Findings emphasize the need for coordinated strategies to address interconnected vulnerabilities in voice and data communication without undermining maritime safety.

54openalex2026-06-01Jonathan EarthyDOI ↗ (opens in a new tab)

Evolution of Human Factors Standards (opens in a new tab)

Jonathan Earthy’s paper outlines the development of ergonomics standards, showing their shift from product-focused rules to principle-based approaches for robotic, intelligent, and autonomous (RIA) systems. It emphasizes human-centered design, where users are seen as active agents, and highlights key standards like ISO 9241-210 and ISO 11064 for ensuring usability and safety in automation. The chapter uses maritime examples to illustrate how these standards apply to autonomous ships. It argues that standards now serve as design tools to embed trust and resilience in intelligent systems.

55crossref2026-04-22Artem Holovan, Vytautas Dubra, Andrii HolovanDOI ↗ (opens in a new tab)

Augmented Reality in Maritime Navigation: Future Solutions for Young Navigators (opens in a new tab)

This study explores how augmented reality (AR) can be integrated into maritime navigation to assist young navigators. Based on a review of existing research, AR improves situational awareness by displaying navigational data directly in the user’s field of view, reducing distractions and aiding performance in low-visibility or high-traffic scenarios. It also supports team decision-making through real-time, context-aware information sharing. However, its effectiveness depends on well-designed interfaces and proper training.

56crossref2026-09-10Manuel Vázquez Neira, Francisco J. Pérez-Castelo, Genaro Cao Feijóo, José A. OrosaDOI ↗ (opens in a new tab)

Artificial Intelligence Applications for Human-Factor Risk Reduction in Merchant Ship Operations: Regulatory Challenges and Future Maritime Safety Frameworks (opens in a new tab)

This paper reviews AI applications for reducing human-factor risks in merchant ship operations, analyzing 23 core sources and recent technical evidence. It evaluates AI technologies like computer vision, fatigue analysis, and edge processing, noting high but context-dependent detection performance. A proposed system architecture integrates sensors, edge processing, and fail-safe protocols, while regulatory adaptations for SOLAS, ISM Code, and other frameworks are suggested. The 2026 IMO MASS Code is cited as a precedent for goal-based approval and progressive implementation.

57openalex2026-05-22Aud M. Wahl, Marte F. Giskeødegård, Bjarne G. Pareliussen, G LamvikDOI ↗ (opens in a new tab)

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.

58crossref2026-04-13Xiaoyan (Jenny) Liu, Chi Hoang, Sharon NgDOI ↗ (opens in a new tab)

EXPRESS: Automated Versus Human-Operated: Impact of AI-Driven Autonomous Stores on Prosocial Behavior (opens in a new tab)

This study examines how AI-driven autonomous stores affect prosocial behavior, finding that consumers act less prosocially after interacting with them compared to human-operated stores. The decline stems from reduced social connectedness due to the lack of human interaction at key service points. The effect holds for both non-embodied and humanlike AI systems but can be lessened under specific conditions, such as joint consumption or consumer-welfare-focused AI framing. The research highlights potential social costs of automated retail and suggests strategies to mitigate them.

59openalex2026-10-03Neng Sri Komala, Nur Zaeni, Uti Indrawati LestariDOI ↗ (opens in a new tab)

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.

60openalex2026-10-02Jonas JostenDOI ↗ (opens in a new tab)

Team cognition in remote maritime operations: a scoping review and cross-domain theoretical synthesis (opens in a new tab)

This scoping review analyzed 51 studies on team cognition in remote maritime operations, identifying five key themes: situation awareness, team learning, human-autonomy collaboration, interface design, and distributed cognition. Findings show a shift from individual to dynamic, interaction-driven models of team cognition involving humans, technology, and environmental factors. Challenges include integrating autonomous systems, improving interface design for shared understanding, and measuring team cognition effectively. The study recommends aligning design, training, and regulations with distributed cognition principles to enhance safety in remote maritime settings.

61openalex2026-08-20SuhartiniDOI ↗ (opens in a new tab)

Ethical Dimensions of Human-AI Interaction in Maritime Decision-Making: An Expert Perspective (opens in a new tab)

This study explores ethical concerns in human-AI interactions within maritime decision-making, based on focus groups with 30 experts from port management, nautical, and marine engineering fields. Key themes identified include trust in AI, accountability gaps, human override practices, and generational differences in ethical perspectives. Deck Nautical experts prioritized human control, while port management experts were more accepting of AI support. Experts agreed that younger, digitally native professionals may shift away from human-primacy values, posing unprepared institutional challenges.

62openalex2026-08-01Rana Saha, Monica Lundh, Scott N. MacKinnonDOI ↗ (opens in a new tab)

Evaluating stakeholders’ interactions for future autonomous European inland waterway transport (opens in a new tab)

This study examines the shift toward autonomous systems in European Inland Waterway Transport (E-IWT) using a socio-technical framework. Researchers interviewed 29 stakeholders across four subsystems—Technical, Personnel, Work Design, and Environment—analyzing current operations and future scenarios, including manned and unmanned remote-control setups. Findings reveal a predicted shift from vessel-based to shore-based operations, requiring real-time communication, regulatory updates, and standardized Remote Operation Centers (ROCs). The study also highlights misalignments between subsystems and the need for stakeholder collaboration to support higher automation levels.

63더파워2026-10-28

West Sea Coast Guard discusses maritime traffic safety in the southwest sea region… Exploring responses to AI and autonomous navigation (opens in a new tab)

The West Sea Coast Guard held discussions on maritime traffic safety in the southwest sea region. The meeting focused on exploring responses to advancements in AI and autonomous navigation technologies. Officials aimed to address potential challenges and opportunities these innovations present for maritime operations. No specific solutions or outcomes were detailed.

64openalex2026-08-27Vedran Simic, Erik Veitch, Ole Andreas Alsos, Taufik Akbar SitompulDOI ↗ (opens in a new tab)

Passenger experience of an autonomous urban ferry: Evidence from a public trial in Norway (opens in a new tab)

This study analyzed feedback from 146 passengers who tested an 8.6-meter autonomous ferry in Trondheim, Norway. Most passengers reported feeling safe, found the ferry easy to use, and would recommend it to others. However, nearly 20% were unclear about emergency evacuation procedures. The research highlighted that spatial comfort and clear pre-ride information improved perceived safety and willingness to use the ferry without a safety host.

65openalex2026-08-18Ellen Bjørge Ekse, Bjarne Pareliussen, Victor OwolojaDOI ↗ (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)

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.

66The Maritime Executive2026-08-18

Autonomous Technology Makes it Possible to be a Mariner - On Land (opens in a new tab)

The article discusses how autonomous technology allows maritime professionals to perform seafaring tasks from land. Advances in remote monitoring, AI-driven navigation, and unmanned vessel operations enable mariners to control ships without being physically onboard. This shift aims to improve safety, efficiency, and workforce flexibility in the maritime industry. The technology is transforming traditional roles while maintaining operational capabilities.

67openalex2026-07-14Khairul Izzati bin Kamarumtham, Koji MuraiDOI ↗ (opens in a new tab)

Quantitative Gaze Similarity Analysis for Operation-based Maritime Studies: A Conceptual Approach (opens in a new tab)

This paper introduces a quantitative method for analyzing gaze similarity in maritime operations to assess perceptual performance and situational awareness. The approach eliminates subjective judgment, improving accuracy and reproducibility in experimental settings. An experiment using simulated remote ship operations demonstrated the method’s feasibility by analyzing fixation data from navigational scenarios. The results suggest it can complement existing frameworks for evaluating maritime professionals' perceptual skills.

68crossref2026-06-16Arun Agrawal, Bathula Prasanna Kumar, Kiran Onapakala, Sagarika Malla +4 moreDOI ↗ (opens in a new tab)

Advancing Toward Next-Generation Autonomous Surgical Robotics (opens in a new tab)

This paper examines the progression of surgical robotics from basic mechanical systems in the 1980s to current platforms capable of interpreting tissue, regulating force, and performing tasks with minimal human input. It highlights key advancements like computer vision, force sensing, and machine learning that enable autonomy in procedures such as soft tissue manipulation and suturing. The authors address challenges like regulatory approval, ethical concerns, and training data quality as barriers to wider adoption. Future directions and their impact on surgical training, healthcare systems, and patient outcomes are also discussed.

69crossref2026-06-01I. Mišlov, K. Lovnički, L. Grbić, M. KorenDOI ↗ (opens in a new tab)

Enhancing Navigation Safety through Proposed Ergonomic Modifications of Navigational Instruments (opens in a new tab)

This study examines how ergonomic flaws in navigational instruments, particularly ECDIS and INS, contribute to human error in maritime accidents. Researchers use eye-tracking technology in a full-mission simulator to analyze navigators' visual behavior under different lighting conditions and tasks. The project compares expert and novice strategies and aims to identify critical interface issues affecting cognitive workload and decision-making. Findings will inform design improvements, training standards, and theoretical understanding of digital interface impacts on maritime safety.

70Splash2472026-11-04

The human breaking point at sea (opens in a new tab)

The *Seafarers Happiness Index* reports a decline in seafarer satisfaction, dropping to 6.81/10 in Q3 2026, with workload, connectivity, and shore leave as key frustrations. Crews rely on camaraderie to cope with systemic shortcomings, but compressed work demands and denied shore leave push human endurance beyond sustainable limits. The article argues that shipping treats seafarer resilience as an assumed resource rather than a finite capacity, risking burnout. Technology and efficiency gains must reduce pressure on crews, not intensify it, to prevent normalizing overload.

71openalex2026-09-30Pierre Marcello Lopulalan, Febria SurjamanDOI ↗ (opens in a new tab)

Exception Exposure Deprivation and Emergency Readiness Vulnerability among Seafarers in Highly Standardized Ship Operations (opens in a new tab)

This study examines how strict procedures and automation in modern ship operations may limit seafarers' exposure to unexpected situations, reducing their emergency readiness. A survey of 100 seafarers and trainees in Indonesia found that less experience with abnormal events correlates with lower preparedness for emergencies. The research suggests that realistic training and varied scenarios could enhance maritime safety. Statistical analysis confirmed the link between exception exposure deprivation and vulnerability in emergency response.

72openalex2026-04-23Goran Vojković, Melita Milenković, Lea Vojković, Toni MeštrovićDOI ↗ (opens in a new tab)

Recommendations for the Development of a Legal Framework for Remote Piloting (opens in a new tab)

This paper examines the need for a legal framework to govern remote piloting, where sea pilots assist vessels from mainland locations using live-streaming technology. It highlights cost benefits but stresses the importance of clear regulations to define the pilot’s role, responsibilities, and duty boundaries. Without international standardization, legal challenges may hinder remote pilotage adoption. The authors outline key tasks for developing these regulations.

73crossref2026-07-14Iryna ShvetsovaDOI ↗ (opens in a new tab)

XR-Enhanced Maritime English Training for Digital Navigation (opens in a new tab)

This study explores the use of Extended Reality (XR) and AI feedback tools in Maritime English training to improve communication in digital navigation. It introduces an XR-based instructional model to enhance cadets' procedural fluency, clarity, and stress-resilient communication, aligning with IMO SMCP standards. Results show XR environments boost terminological accuracy, fluency, and responsiveness in emergencies and team tasks. Cadets also reported greater confidence and reduced hesitation under operational pressure.

74openalex2026-05-05M. Preenu Antony, S. Sreepriya, Helga Joseph, S. JithendranDOI ↗ (opens in a new tab)

From Harbor to High Seas: A Qualitative Exploration of I-boat Awareness among Small-Scale Fishing Communities (opens in a new tab)

This study examines small-scale fishermen in Chellanam Harbour, Kerala, and their awareness of I-boat, an AI-driven autonomous vessel designed to improve navigation and ecosystem monitoring. Findings from interviews with 60 fishermen reveal limited and inconsistent knowledge of the technology. Key barriers include the lack of a Malayalam interface, inadequate infrastructure, and no formal training. The authors recommend localized, language-specific awareness programs led by the fisheries department to improve adoption.

75openalex2026-04-30ZmiievskyiDOI ↗ (opens in a new tab)

AI‑Integrated Industrial Systems: Competence Migration, Safety Architecture, and Knowledge Extinction Risk" (opens in a new tab)

This paper examines the shift from human-controlled industrial systems to AI-driven autonomous decision-making. It combines two frameworks to analyze how human expertise transfers to AI systems, introducing new failure risks like model errors and context blindness. Evidence from aviation, manufacturing, and other sectors shows automation erodes tacit human skills, leading to irreversible knowledge loss. The authors propose a safety framework emphasizing human oversight and updated regulations for AI-integrated industries.

76openalex2026-04-13Dana Feng, Bhada Yun, April WangDOI ↗ (opens in a new tab)

From Junior to Senior: Allocating Agency and Navigating Professional Growth in Agentic AI-Mediated Software Engineering (opens in a new tab)

This study examines how agentic AI affects professional agency in software engineering, comparing junior and senior developers. Juniors, who grew up with AI, often struggle with over-reliance or avoidance, while seniors maintain control by delegating tasks and using pre-AI instincts. Organizational policies, not personal choice, primarily limit agency. The authors propose three practices to preserve agency in coding, learning, and mentorship as AI becomes more autonomous.

77MarketScale2026-11-06

Burq says delivery AI should earn control one shipping mode at a time (opens in a new tab)

Burq introduced *Earned Autonomy*, a framework where delivery AI starts with no control and gradually gains authority per shipping mode (e.g., fleet, gig, parcel, LTL, drones) based on live-order performance, such as 90% dispatcher agreement. Retailers set trust thresholds, and AI is automatically demoted if it breaches hard rules, ensuring gradual, evidence-based autonomy. The system tracks decisions in a *Decision Ledger*, recording each order’s outcome, but lacks pre-live performance metrics. Burq’s approach contrasts with "human in the loop" models, treating dispatchers as temporary validators rather than permanent overseers.

78手机新浪网2026-11-05

In the Era of Intelligent Ships, What 'Skill Passports' Do Crew Members Need? (opens in a new tab)

The article discusses the evolving skill requirements for crew members in the era of intelligent ships. It highlights the need for "skill passports," which likely refer to standardized certifications or qualifications. These may include expertise in digital navigation, automation systems, and cybersecurity. The shift toward smart shipping demands updated training to ensure crew members can operate advanced maritime technologies.

79缅华网2026-11-04

Japan Struggles to Recruit Submarine Crews, Turns to Equipping Unmanned Boats with Torpedoes; Miyako Strait May See Change (opens in a new tab)

Japan faces difficulties recruiting submarine crews, leading to plans to equip unmanned boats with torpedoes. This shift may alter dynamics in the Miyako Strait, a strategically important waterway. The shortage of personnel has prompted Japan to explore unmanned alternatives for naval operations. The development reflects broader challenges in maintaining traditional submarine forces.

80해사신문2026-11-03

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.

81風傳媒2026-11-02

Marine tech and unmanned vehicle expo opens; major US unmanned boat manufacturers attend, with Hsiao Bi-khim making a special appearance (opens in a new tab)

The 2026 Taiwan Marine Technology and Unmanned Vehicle Expo (MATURE Taiwan) opened in Tainan from November 3–5, with a preview event held on November 2. Vice President Hsiao Bi-khim attended, emphasizing the shift toward flexible, cost-effective unmanned vehicles for defense and the need for integrated AI and sensor networks across domains. Major U.S. unmanned boat manufacturers, including MARTAC, STR8, and Taiwan’s Thunder Tiger, demonstrated capabilities, though some firms were restricted from full displays due to security concerns. The event highlighted international collaboration, particularly between Taiwan’s tech strengths and U.S./European operational expertise.

82해양한국2026-10-16

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.

83해사신문2026-10-15

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.

84innovaTopia2026-10-05

Explanation: Japan Self-Defense Forces reported to adopt AI autonomous ships; Defense Ministry cites 'crew recruitment' as purpose (opens in a new tab)

Japan's Self-Defense Forces plan to adopt AI-powered autonomous ships, according to reports. The Defense Ministry stated the move aims to address challenges in recruiting crew members. The initiative reflects efforts to modernize naval operations amid personnel shortages. No specific timeline or technical details were provided in the report.

85openalex2026-10-08Yoshiaki Kunieda, Emi Kanayama, Ayano Oka, Mizuki SaitoDOI ↗ (opens in a new tab)

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

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

86crossref2026-06-01Rohan Chandra, Shubham Singh, Wenhao Luo, Katia SycaraDOI ↗ (opens in a new tab)

Multi-robot navigation in social mini-games: definitions, taxonomy, and algorithms (opens in a new tab)

This paper introduces "Social Mini-Games" (SMGs) as constrained, high-agency environments (e.g., doorways, hallways) where robots must navigate while interacting with humans and other robots. It highlights inconsistencies in assumptions, objectives, and evaluation methods across existing SMG navigation research, creating challenges for comparisons and practical applications. The authors propose a unified taxonomy and definitions to standardize the field, classify current methods, and outline evaluation protocols. The work aims to guide future research and lower barriers for new researchers in multi-robot navigation.

87crossref2026-12-01Achim Schlüter, Maarten BavinckDOI ↗ (opens in a new tab)

Ocean privatisation: the ‘processes of property’ occurring in the world’s maritime domains (opens in a new tab)

The paper examines the growing trend of ocean privatisation, where individuals, corporations, states, and organizations claim property rights over maritime domains. It highlights increasing research on related topics like blue-grabbing and tradable quotas, often presenting polarized views—either as solutions or risks. The collection analyzes diverse perspectives using varied theoretical frameworks and global case studies, aided by AI-assisted qualitative tools. Key findings show privatisation as dynamic "processes of property," shaped by bargaining, discourse, and power dynamics, with a focus on distributive consequences.

88openalex2026-10-28Taizhi LvDOI ↗ (opens in a new tab)

Research on Intelligent Agent Technology Empowering ICT Skilled Talent Cultivation for Smart Shipping (opens in a new tab)

This paper examines how AI agent technology can address the shortage of skilled ICT talent in smart shipping by improving vocational education. It identifies challenges in key teaching areas like curricula, faculty, and practical training, proposing a "Student–Teacher–Agent" model based on Human-Machine Distributed Cognition theory. The study suggests restructuring curricula around smart shipping’s technical chain and validates skill transfer using data mining and social network analysis. Findings show that AI-driven agent systems can better align education with industry needs, supporting talent development for digital-smart shipping.

89Sea News2026-10-12

Assuring Autonomy: Why Maritime’s Uncrewed Revolution Must Be Safe by Design (opens in a new tab)

The article discusses the importance of integrating safety into the design of uncrewed maritime systems. It emphasizes that the growing adoption of autonomous ships requires a "safe by design" approach to prevent accidents and ensure reliability. The maritime industry must prioritize safety standards to support the uncrewed revolution. Regulatory frameworks and technological safeguards are critical for long-term success.

90openalex2026-07-29Tita Alissa Bach, Aleksandar Babic, Narae Park, Tor Sporsem +3 moreDOI ↗ (opens in a new tab)

Using LLM-generated draft replies to support human experts in responding to stakeholder inquiries in maritime industry: a real-world case study of Industrial AI (opens in a new tab)

This study explored the use of Large Language Models (LLMs) to help maritime industry experts draft responses to stakeholder inquiries. Researchers found LLMs improved efficiency, consistency, and time management but often required manual edits for accuracy. Experts showed cautious interest, stressing the need for human oversight and managerial support. While LLMs aren’t ready for independent use in safety-critical tasks, they can assist when combined with human expertise.

91crossref2026-07-07Fernando Crestelo Moreno, Luis Alfonso Díaz-Secades, Jesús Ángel García Maza, Antonio Lista MartinDOI ↗ (opens in a new tab)

Evaluating the impact of high-fidelity simulators on maritime education and training: enhancing competency through realistic simulation (opens in a new tab)

High-fidelity maritime simulators, like Kongsberg Polaris, improve navigation and emergency response skills for seafarers. Professionals gained more confidence and control than students, who showed higher emotional arousal. Instructors highlighted real-time feedback and scenario customization as key benefits, though challenges included maneuvering difficulties and high costs. The study supports simulator use in training but calls for better technology and adaptations for less experienced users.

92openalex2026-05-29Liudmyla Cheroy, Maryna Moniushko, Olha BazhakDOI ↗ (opens in a new tab)

EDUCATION IN THE FIELD OF HYDROMETEOROLOGICAL AND HYDROGRAPHIC SUPPORT OF NAVIGATION: CONTEMPORARY TRANSFORMATIONS AND DEVELOPMENT PROSPECTS (opens in a new tab)

This paper examines modern approaches to training specialists in hydrometeorological and hydrographic support for navigation, emphasizing the need for updated education due to digitalization, stricter safety demands, and evolving maritime conditions. It highlights the shift toward an integrated, competence-based model combining hydrography, meteorology, oceanography, and geoinformation technologies, with a focus on digital tools, big data, and simulation training. The study compares Ukraine’s education system—strong in theory but needing more interdisciplinary and practical integration—with international standards. Key recommendations include adopting digital platforms, practice-oriented learning, and analytical skill development to improve decision-making in complex maritime environments.

93Business Wire2026-10-15

Fincantieri Accelerates Robotics and Physical AI to Build the Shipyard of the Future (opens in a new tab)

Fincantieri is speeding up the use of robotics and physical AI to modernize its shipyards. The company aims to create the "shipyard of the future" by integrating advanced technologies. This initiative focuses on improving efficiency and innovation in shipbuilding. No specific methods or outcomes are detailed in the provided text.

94crossref2027-01-01Rudong Shan, Wanqi Wang, Wei JiDOI ↗ (opens in a new tab)

Reliability Evaluation of Human – Ship – Environment Interactions in Maritime Accidents: An AIS-Based Systems Engineering Approach (opens in a new tab)

This study evaluates the reliability of human-ship-environment interactions in maritime accidents using an AIS-based systems engineering approach. It highlights the importance of accurately interpreting vessel behavior influenced by human operations, ship dynamics, and environmental conditions. The paper emphasizes that Automatic Identification System (AIS) data offer critical technical support but may have limitations. The approach aims to improve accident reconstruction by integrating these factors systematically.

95openalex2026-10-12Marko Perkovič, Ivica Pavić, Maciej Gucma, Sebastian Feuerstack +1 moreDOI ↗ (opens in a new tab)

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.

96openalex2026-08-11Jinlei Zhang, Yuqing Sun, Ran Yi, yuqi biDOI ↗ (opens in a new tab)

A unified tort liability framework for cross-modal land-sea-air autonomous transportation systems (opens in a new tab)

This paper examines the legal challenges posed by autonomous vehicles (AVs) in land, sea, and air transportation, where traditional fault-based liability frameworks struggle due to the shift from human to algorithmic control. It highlights the ambiguity in determining liable parties when control and benefit are separated. The authors propose a unified tort liability framework to address these issues. The study focuses on clarifying accountability in cross-modal autonomous transportation systems.

97crossref2026-06-22Araoye AraoyeDOI ↗ (opens in a new tab)

The Future of Autonomous Transportation: Opportunities and Challenges in Nigeria (opens in a new tab)

The paper explores the potential of autonomous vehicles (AVs) to address road safety, congestion, and mobility issues in Nigeria. It highlights challenges such as weak infrastructure, regulatory gaps, and the need for context-specific analysis. The study emphasizes aligning AV adoption with Nigeria’s institutional, technological, and socio-cultural conditions. Limited existing evidence on AVs in African contexts is noted as a key concern.

98crossref2026-05-27Suhail Ashfaq Butt, Umer Farooq, Muhammad Shan, Muhammad Faisal +3 moreDOI ↗ (opens in a new tab)

Interpretable Reinforcement Learning Framework for Autonomous Warehouse Robot Navigation (opens in a new tab)

This paper introduces an interpretable reinforcement learning framework for autonomous warehouse robots, combining deep reinforcement learning with explainability methods like saliency mapping and feature importance analysis. The approach improves transparency and trust by making the robot’s decision-making process understandable to operators. Experimental results showed a 98% collision rate in one outcome, while successful runs achieved faster navigation with an average time of 31.87 seconds and a path smoothness score of 0.539. The framework enhances efficiency and reliability for logistics and inventory management applications.

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