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AQUAMON: AI and robotics for urban water quality monitoring

AQUAMON combines sensors, robotic systems, AI and digital twins to support urban water quality monitoring.

AQUAMON develops an integrated approach to monitoring and managing urban water quality. The project brings together multimodal sensing, autonomous robotic systems, AI-based analysis and digital twins to support detection and response to pollution across the urban water cycle.

ILSP is responsible for technical coordination, machine learning solutions, the data lake and the integrated project platform. George Alexis Ioannakis leads the institute’s contribution.

  • Project period: 01/06/2025–30/11/2028
  • Project Leader: George Alexis Ioannakis
  • Funding: Horizon Europe

Official ILSP project page

AQUAMON project website

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