Autonomous hull-cleaning and inspection robots for commercial vessels
Fleet Robotics builds robotic systems and monitoring software for maritime vessel maintenance. The tech stack—Azure data services (Event Hubs, Data Lake, Data Factory), Python, and industrial-grade controllers (Beckhoff TwinCAT)—reflects a company scaling from standalone robotic operations toward data-driven fleet monitoring. Active projects center on data pipeline consolidation and new inspection drone models, with pain points around scalable data processing and operational continuity, suggesting a shift from one-off robotic deployments to continuous, sensor-driven insights across customer fleets.
Fleet Robotics operates autonomous robotic systems and IoT monitoring platforms for commercial shipping. The company serves vessel operators with four main service lines: autonomous hull cleaning (claimed to reduce fuel consumption by 10%), ROV inspections with rapid reporting, certified diver support, and continuous underwater monitoring. Operations span hull maintenance, inspection, and fleet-level data collection. Based in Delft, Netherlands, the company employs 51–200 staff, with hiring concentrated in engineering roles and a steady intake of mid-level technicians to support robot design, commissioning, and data infrastructure.
Engineering design relies on Autodesk Inventor and AutoCAD. Robot control and automation runs on Beckhoff TwinCAT with EtherCAT fieldbus. Data infrastructure uses Azure (Event Hubs, Data Factory, Data Lake) and Python for pipeline logic.
Four service lines: Fleet Cleaner (autonomous hull cleaning), Fleet Inspector (ROV inspections), Fleet Diver (certified diver operations), and Fleet Monitor (data-driven predictive maintenance monitoring).
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