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 »
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 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 Antoine Thibault Vié, Roberto Galeazzi, and Dimitrios Papagergiou have developed a new communication model for maritime environments, addressing the growing need for reliable connectivity in autonomous and remote-operated vessels.
The te
Southampton Team Enhances Maritime Connectivity with Advanced Model Read More »
Researchers at the Norwegian University of Science and Technology (NTNU) have developed a cutting-edge testbed designed to accelerate the development and validation of Maritime Autonomous Surface Ship (MASS) technologies. Led by Emir Cem Gezer, Mael
Researchers from the Technical University of Denmark have made significant strides in advancing maritime autonomy, particularly in the realm of collision avoidance for ferries and harbour buses. In a recent study, Thomas T. Enevoldsen, Mogens Blanke,
Denmark Advances Ferry Autonomy with Cutting-Edge Collision Avoidance Read More »
Researchers from the Tokyo University of Marine Science and Technology, led by Ryouhei Sawada and Yoshiki Miyauchi, have published a comprehensive study on the critical role of marine simulators in the development and approval of maritime autonomous
Tokyo Researchers Chart Course for MASS Simulator Standards Read More »
Researchers from the University of Messina, including Francesco Longo, Alessandro Chiurco, Roberto Musmanno, and Letizia Nicoletti, have developed an advanced system for cooperative training in marine ports, focusing on harbour pilots and port traffi
Messina Team Enhances Port Safety with Advanced Training Simulators Read More »
Researchers from the Delft University of Technology have developed a novel approach to collision avoidance for autonomous ships navigating inland waterways. The team, led by Hoang Anh Tran, Tor Arne Johansen, and Rudy R. Negenborn, has proposed a two
Delft Team Pioneers Flexible Collision Avoidance for Inland Ships Read More »
A team of researchers from Khalifa University of Science and Technology has developed a deep reinforcement learning (DRL) algorithm to tackle the complex challenge of object manipulation in dynamic marine environments. The study, led by Ahmed Nader,
Khalifa U. Team Boosts Marine Object Handling with DRL Read More »
