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 »
Researchers from Rutgers University, including Rahul Shome, Wei N. Tang, Changkyu Song, Chaitanya Mitash, Hristiyan Kourtev, Jingjin Yu, Abdeslam Boularias, and Kostas E. Bekris, have developed a robust robotic system for packing cuboid objects in lo
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 from Carleton University, including Nesrine Cherif, Wael Jaafar, Halim Yanikomeroglu, and Abbas Yongacoglu, have published a study addressing critical challenges in unmanned aerial vehicle (UAV) based delivery missions, commonly referred
Carleton Researchers Optimize UAV Cargo Routes for Efficiency 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 Khalifa University of Science and Technology and Aramex have developed an innovative AI-augmented autonomous delivery robot system aimed at revolutionizing last-mile delivery (LMD). This system is designed to address the challenges o
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 »
Researchers from the University of Michigan, including Yuchen Dong, Zhengsong Lu, Xiaoyu Cao, Zhengwen He, Tanveer Hossain Bhuiyan, and Bo Zeng, have developed a groundbreaking method for planning hydrogen-electrical microgrids in island settings. Th
Michigan Team Pioneers Island Hydrogen-Electrical Microgrid Planning Read More »
Researchers Erblin Isaku, Hassan Sartaj, and Shaukat Ali have introduced a groundbreaking approach to enhance the safety and reliability of autonomous vessels (AVs) through the use of digital twins and machine learning. Their work, titled “Digital Tw
Digital Twins and AI Boost Autonomous Ship Safety Read More »
