LIVING LABS
WARRaNT validates its methodology and tools through four real-world Living Labs (LLs). These Labs bring together technology developers, vessel operators, port authorities, and classification bodies to test Waterborne Digital Systems (WDS) under realistic conditions. Each LL targets a distinct operational scenario and feeds evidence back into the WARRaNT Knowledge Platform and Methodology.
LL1 – CONTAINERSHIPS (DANAOS)
Lead Partner
DANAOS Shipping
Type
DANAOS Shipping
FOCUS
• Cybersecurity assurance and resilience in containership operations
• Development of a WDS Digital Twin and Blueprint
• Anomaly detection and secure monitoring systems
• Integration of AI verification tools into ship IT/OT infrastructure
OBJECTIVE
To validate dependable design and operational support tools on real ships operated globally, focusing on high-volume cargo operations
LL2 – SMART CONTAINERS (AELER)
Lead Partner
AELER Technologies
Type
Logistics and terminal ecosystems (e.g. Antwerp)
FOCUS
• Integration of IoT-enabled smart containers into ship systems
• Fire prevention and anomaly detection via embedded AI
• Secure communication between containers, ports, and vessels
• Condition monitoring and digital twin development
OBJECTIVE
To demonstrate dependable interactions between smart cargo and the wider maritime digital infrastructure
LL3 – AUTONOMOUS GREEN VESSELS (DST)
Lead Partner
DST
Type
Germany (Duisburg – VeLABi and HaFoLa facilities)
FOCUS
• Hardware-in-the-loop(HIL)anddigitaltestingofautonomous inland ships
• Adaptive control, fault tolerance, and resilient AI supervision
• Sensor fusion, virtual sensors, and real-time monitoring
• Human factors and usability testing
OBJECTIVE
To assess and demonstrate WDS dependability in fully or semi-autonomous green shipping operations
LL4 – REMOTE OPERATIONS (SEAFAR)
Lead Partner
SEAFAR
Type
Belgium (Antwerp-based ROCs)
FOCUS
• Resilient and secure operation of remotely controlled vessels
• Deployment of digital twins within ROC monitoring systems
• Object detection system vulnerabilities and near-misses
• Human-machine interface (HMI) for remote decision-making
OBJECTIVE
To validate remote supervision frameworks for semi-autonomous shipping, ensuring dependable remote operations and scalable maritime autonomy