Research Projects

Sustainable infrastructure management for sheet piling in seaports

Automation of pin handling by mobile robotics

Continuous adjustment of truck dispatch time windows through flexible artificial intelligence

Using AI to combat truck congestion in the port: The aim of KIK-Lee is to improve forecasting of the utilization of empty container depots.

The COOKIE project helps to improve the plannability of maintenance and availability of empty containers in the port on the basis of AI.

SeaClear uses the latest methods in litter mapping, classification and robotic control to collect plastic in the ocean using unmanned robots.

Further development of an autonomous surface and underwater vehicle for the provision of novel inspection services for ports and maritime shipping.

Development of an IoT reference architecture for simplified realization of IoT applications in ports.

Climate resilient and environmentally sustainable transport infrastructure, with a focus on inland waterways

Large industrial consumers from steel construction or the chemical industry can eliminate a considerable part of their CO2 emissions by substituting fossil fuels with hydrogen. 

The COOKIE project helps to improve the plannability of maintenance and availability of empty containers in the port on the basis of AI.

The provision of empty containers at the respective loading location is a crucial component of global supply chains. 

Quantum computing: a new driver for the maritime industry?

With conventional radiotelephony communication, misunderstandings can very easily occur. marFM® reliably supports and transcribes maritime radio messages by using artificial intelligence.

Determination and reduction of CO2 emissions from ships.

The mathematical planning algorithms in PLAIN determine, on the one hand, the personnel key required to meet the maintenance requirements on time, taking into account the ship's operation, and, on the other hand, provide quantitative decision support for the conception of the maintenance plan.

Decision recommendations for VTS with highly automated or autonomous vessels using AI.

Maritime simulator networks EMSN and APMSN as the basis for nautical communication, data exchange, ship bridge simulations, test trials and ship controls in joint simulations.

Collaboration Сomplexity in Nuclear Emergency Preparedness in the Maritime Arctic

Introduction of small, autonomous and emission-free inland vessels

The goal of the BEYOND project is to develop new approaches to the study and ergonomic design of navigation systems.

The goal of the i-MASTER project is to research and develop an intelligent learning system (ILS) with maritime learning analytics and adaptive learning capabilities.

Development of a biomimetic hull coating to reduce the ship's drag in the water.

The BIOINSPACED (BIOINspired solutions for SPACE Debris removal) project aims to find bionic solutions for novel space debris removal technologies.