Fraunhofer Center for Maritime Logistics and Services

Research Projects

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PORTS

Pin-Handling-mR

Automation of pin handling by mobile robotics

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AGenC

More effectiveness with cyber-physical systems

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FLEXIKING

Continuous adjustment of truck dispatch time windows through flexible artificial intelligence

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ISI-Plan

ISI-Plan implements the integration of layout planning and simulation in terminal planning.

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KIK-Lee

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.

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InnoPortAR

Work processes in inland and seaports are to be supported and optimized with the help of computer-aided augmented reality (AR).

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COOKIE

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

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dashPORT

The aim of dashPORT is the more conscious use of energy-intensive consumers and the saving of avoidable energy consumption.

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SeaClear and SeaClear2.0

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

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FernSAMS

Design of virtual reality applications for the use of remotely operated harbor tugs.

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RoboVaaS - Robotic Vessels-as-a-Service

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

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I2PANEMA

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

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MARITIME LOGISTICS

LogReview

Optimization of Logistics Processes for Operation and Maintenance of Offshore Wind Parks by using AIS Data

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H2-Logistics

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.

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WaCaBa

The WaCaBa project refers to a logistics system for the transport of goods and the use of inner-city waterways.

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COOKIE

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

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MISSION

MISSION is developing a non-discriminatory information network that enables companies outside the port or with limited resources for IT integration to have access to relevant information about a transport process.

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C-Timing

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

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SHIPPING

marFM®

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

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SCEDAS

SCEDAS® is a decision support system that supports ship managers in calculating detailed work plans for every seaman - mathematically optimized with powerful algorithms, ready for use on land and on board.

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SCIPPER

Monitoring ship emissions and their impact on the environment.

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EmissionSEA

Determination and reduction of CO2 emissions from ships.

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ARTUS

Recording and automatic transcription of maritime VHF communication using artificial intelligence (AI)

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PLAIN

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.

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B ZERO

Implementation of a ship bridge guard-free for up to eight hours with the help of reinforcement learning.

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LEAS

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

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EMSN & APMSN

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.

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Autonomous maritime Technologies

BEYOND

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

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i-Master

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.

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RAPID

RAPID can integrate the benefits of UAV services into the port environment while developing new technologies to meet the unique needs of the maritime industry.

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AIRCOAT

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

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AIRTUBE

Development of a bionic internal pipe coating to reduce friction and flow resistance.

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BIOINSPACED

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

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SeaClear and SeaClear2.0

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

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MARIA

MARIA is primarily dedicated to companies in the maritime industry in order to carry out the transformation towards a proactive after-sales service as efficiently and quickly as possible.

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Completed Projects

Here you can find information about our completed research projects.

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