Rotterdam’s innovation centre at RDM played host last week to Innovation Expo with an innovative floating lab aimed at gathering data for training AI navigators was on show. The facility at RDM was where the 3D printed propeller was produced last year.
According to a Port of Rotterdam Authority release, it has converted a patrol vessel into a floating lab that collects data, including about the vessel’s operation and power. By making these data available to the business community and education, further research can be conducted into the introduction of autonomous navigation and the Port of Rotterdam can make further preparations for this.
The first partnership for data exchange from the floating lab has now been signed with new software developer Captain AI. They are adding artificial intelligence to the data, which enables computers to be trained as artificial captains to navigate independently through the port. ‘In this way, we can teach computers to navigate independently through the port and we can train the first artificial captains,’ stated Vincent Wegener from Captain AI.
‘The Port of Rotterdam Authority is continuously examining how our port can be even safer, more efficient and better. By cooperating with other parties, including by making our data available, we aim to promote the development of new technologies and investigate the impact of these on the port and port facilities. We expect the arrival of autonomous navigation to further increase the safety and accessibility of the Port of Rotterdam and, moreover, it will be an effective aid for skippers and shipping traffic controllers. That is why the Port of Rotterdam Authority aims to test this application, which has already been used in aviation for many years, together with other parties,’ stated Ronald Paul, Port of Rotterdam Authority COO.
The Port of Rotterdam Authority has equipped a former patrol vessel (RPA3), the so-called floating lab, with cameras, sensors and measurement equipment. In this way data is obtained about weather and water conditions and about the vessel’s operation, power and engine.
As well as autonomous navigation, the floating lab will test other applications. The use of cameras will be tested, for example for automatic inspection of quay walls or detection of objects in the water. The combination of sensors on the water with land-based sensors to develop a network and smart infrastructure will also be investigated.