Researchers Daniel Menges, Andreas Von Brandis, and Adil Rasheed from the University of Lubeck have developed a digital twin framework for autonomous surface vessels (ASVs) that leverages predictive modeling and reinforcement learning to enhance mari
Lubeck Team’s Digital Twin Framework Boosts ASV Safety Read More »
Researchers from the University of Wisconsin-Madison, including Michael A. Boateng, Russell Bent, Sidhant Misra, Parikshit Pareek, Pascal Van Hentenryck, and Daniel Molzahn, have developed a unified pipeline to address a critical challenge in power s
UW-Madison Team Bridges DCOPF and ACPF for Maritime Power Read More »
Researchers from the University of Southern California, including Yulun Zhang, Alexandre O. G. Barbosa, Federico Pecora, and Jiaoyang Li, have made significant strides in optimizing robotic sorting systems (RSS). Their work focuses on improving the e
USC Team Boosts Robotic Sorting Efficiency for Marine Logistics Read More »
Researchers from the University of British Columbia have developed a machine learning model to optimize marine navigation and reduce fuel consumption. The team, led by Yimeng Fan and Pedram Agand, focused on a passenger vessel operating along the wes
UBC AI Model Steers Ships Toward Fuel Efficiency Read More »
Researchers Harsh Abhinandan, Aditya Dhanraj, Aryan Katoch, and R. Raja Singh have conducted a comprehensive review of advancements in powering and charging systems for Unmanned Aerial Vehicles (UAVs), addressing the critical challenge of limited fli
Eric Mugford and Jonathan D. Gammell, researchers at the University of British Columbia, have developed a groundbreaking algorithm for search and rescue (SAR) operations, particularly in maritime environments where time is of the essence. Their work,
UBC’s ASAR Algorithm Speeds Up Maritime Search and Rescue Read More »
Researchers Daniel Menges and Adil Rasheed, affiliated with the University of Lübeck, have published groundbreaking research on the role of digital twins in advancing autonomous surface vessels (ASVs). Their work, titled “Digital Twin for Autonomous
Digital Twins Steer Autonomous Ships to Safer Seas Read More »
Researchers Yizheng Wang, Timon Rabczuk, and Yinghua Liu have introduced a groundbreaking approach to friction modeling in robotic systems. Their work, published in a recent study, focuses on overcoming the limitations of traditional static friction
Revolutionary Friction Modeling Boosts Robotic Precision Read More »
Researchers from the Department of Mechanical and Civil Engineering at California Institute of Technology have developed a robust model predictive control (MPC) framework for safe payload transfer using ship-mounted cranes. The team, led by Ersin Das
Caltech’s Crane Control Breakthrough Enhances Maritime Safety Read More »
Researchers from the Potsdam Institute for Climate Impact Research (PIK) have proposed a “minimal methanol economy” as a strategic gap-filler for sectors where electrification falls short, particularly in long-haul shipping. Philipp Glaum, Fabian Neu
PIK Proposes Methanol as Key to Decarbonizing Hard-to-Electrify Sectors Read More »
