Set the inspection scope
The operator defines which part of the foundation needs to be inspected and what the mission should achieve.
UNDERWATER ROBOTICS / OFFSHORE WIND
We are developing autonomy software that enables underwater robots to navigate offshore wind foundations and perform repeatable inspection runs.
Our first focus: autonomous navigation around monopiles.
Offshore inspections still require skilled operators to steer robots through repetitive maneuvers around large foundations. We are building the software to automate that navigation, so crews can concentrate on the inspection itself.
01The approach
Our goal is straightforward: an underwater robot that can follow an inspection mission around an offshore foundation without being manually steered through every movement.
The operator defines which part of the foundation needs to be inspected and what the mission should achieve.
Autonomy handles the repeated movements along the monopile using perception, localization and mission planning.
The robot records sensor data along a repeatable route, giving the inspection team material to review and trace back to the mission.
WHAT WE ARE BUILDING
The operator remains responsible for the inspection. The robot takes on more of the navigation. The intended result is less hands-on piloting and a more repeatable inspection process.
02Development
We develop and test navigation under limited visibility, currents and other underwater constraints. Simulation supports iteration; experiments on a BlueROV2 connect the work to real hardware.
Our first use case is offshore wind monopile inspection. Full offshore autonomous inspection remains a development goal.
We have extended HoloOcean and Unreal Engine with offshore structures, reduced visibility, obstacles and variable currents. We use it to develop and evaluate mission planning and navigation around monopiles.
We have already used PuzzlePoles, the cylindrical marker approach developed by Juri Zach and published with Peer Stelldinger (Zach & Stelldinger, 2025 ↗), for localization work with a BlueROV2. These experiments are a development step, not proof of an autonomous offshore inspection.
03The team
Machine learning, autonomous systems and software engineering. Working across Munich, Berlin and Hamburg.

PhD candidate, nearing completion. Research background in autonomous systems and mobility modelling.

PhD in machine learning. Research background in time series and AI.

Background in engineering physics and software engineering.
Let’s talk
We’re looking for offshore operators and inspection teams to shape field trials. Building, operating or investing in subsea robotics? We’d like to hear from you.
Get in touch