In a recent study published in the Polish Maritime Research journal, also known as Polish Maritime Research, researchers have delved into the hydrodynamic performance of distributed propulsion systems for shallow-draft inland vessels. The lead author
Pontoon Hulls Excel in Shallow-Draft Propulsion Study Read More »
In a twist of events that’s as unexpected as it is fascinating, the ongoing conflict in the Red Sea has inadvertently provided scientists with a unique opportunity to study the impact of stricter marine pollution regulations. A recent study published
Red Sea Conflict Offers Unexpected Insight into Marine Pollution Regulations Read More »
In the bustling, often fog-laden environment of container terminals, visibility can be a major challenge for operators of reach stackers—the heavy-duty machines that lift and move containers. A recent study published in the Alexandria Engineering Jou
Korea Maritime Researchers Enhance Port Safety with AI-Powered Visibility System Read More »
Researchers from the Max Planck Institute for Intelligent Systems and the University of Amsterdam have developed ARK, an open-source, Python-based framework designed to bridge the gap between robotics and machine learning. The team, led by Jan Peters
ARK Framework Unites Robotics and AI for Seamless Autonomy Read More »
In the ever-evolving world of maritime trade and shipping, developing countries are facing a perfect storm of challenges that threaten marine sustainability. A recent study published in ‘Frontiers in Marine Science’ (translated from the original Chin
Developing Nations Chart Course for Maritime Sustainability via Legal Frameworks Read More »
Researchers Antonella Barisic Kulas, Frano Petric, and Stjepan Bogdan have developed a novel approach to maritime vessel detection and identification using unmanned aerial vehicles (UAVs). Their work, presented at the MBZIRC2023 competition, addresse
UAVs Revolutionize Maritime Surveillance in GNSS-Denied Zones Read More »
Researchers at the University of Melbourne, including Md Mahbub Alam, Jose F. Rodrigues-Jr, and Gabriel Spadon, have developed a groundbreaking framework for enhancing maritime safety through advanced trajectory prediction and collision risk assessme
Melbourne Team Pioneers Multi-Vessel Trajectory Prediction for Safer Seas Read More »
Researchers from the Korea Advanced Institute of Science and Technology (KAIST) have developed a novel algorithm to enhance the capabilities of X-band radar in autonomous maritime navigation. The team, led by Hyesu Jang, Wooseong Yang, Ayoung Kim, Do
KAIST’s Radar Breakthrough Enhances Autonomous Maritime Navigation Read More »
In a bid to tackle the maritime industry’s pressing decarbonization challenge, a recent study published in the *International Journal of Sustainable Energy* (translated from Korean as ‘International Journal of Sustainable Energy’) has shone a spotlig
Korean Study Spotlights SMRs as Maritime Decarbonization Game-Changer Read More »
Researchers Kouki Wakita, Youhei Akimoto, and Atsuo Maki have developed a groundbreaking probabilistic prediction method for ship maneuvering motion, leveraging ensemble learning with feedforward neural networks. Their work, published in the field of
Revolutionary Ship Maneuvering Prediction for Autonomous Vessels Read More »
