VENTRIC Autonomy
Navigation, perception and mission execution for existing underwater robots, with the operator in the loop.
- Localisation without GPS
- Sonar and camera perception
- Structure-relative planning and control
Software for underwater robotics
We develop autonomy and simulation software for underwater robots. Built to navigate, test and learn in environments where GPS cannot reach.
In development. Built with robotics and operations partners.
Limited visibility, scarce labelled data and costly sea trials make underwater development difficult. We connect simulation, on-robot autonomy and reference measurements so more testing can happen before a dive.
Our software
For the teams building underwater robots and the people putting them to work.
Navigation, perception and mission execution for existing underwater robots, with the operator in the loop.
A development environment for training and testing underwater autonomy under repeatable conditions.
Designed for existing ROVs and AUVs. Our first development platform is the BlueROV2.
Both products are in development.
We welcome integration and pilot enquiries.
Simulation meets reality
A robot that works in simulation still has to work in water. We use controlled scenarios, real sensor data and reference measurements to understand where the two differ and improve the models behind them.
Our BlueROV2 experiments use PuzzlePoles, cylindrical visual markers developed by Juri Zach and Peer Stelldinger. We are developing this approach into a ground-truth reference for evaluating localisation in controlled underwater tests.
About the PuzzlePoles research ↗Vary visibility, currents and sensor conditions in our HoloOcean-based test environments.
Connect the software to BlueROV2 sensors and collect data in real experiments.
Compare estimated motion with a reference and evaluate behaviour across repeatable scenarios.
Use the findings to refine simulation, sensor models and autonomy algorithms.
Applications
We start with repetitive navigation around offshore wind foundations. The same underlying capabilities are relevant wherever underwater robots need to understand their surroundings and follow a mission.
We are developing pilot assistance and structure-relative navigation around monopiles. The path leads from position and distance holding to supervised inspection routes, with the operator overseeing the mission.
Discuss an inspection pilotPorts, quay walls, cables, pipelines and other subsea energy assets present related navigation and inspection tasks. We aim to adapt the stack to these environments as the core capabilities are validated.
Discuss your environmentManufacturers, integrators and research teams need environments in which to develop and compare their own systems. VENTRIC Sim is being built to support this work, alongside our autonomy development.
Discuss simulation needsWorking with partners on development hardware and real-world testing.
The team
Machine learning, autonomous systems and software engineering. Working across Munich, Berlin and Hamburg.

Co-founder · CTO
Autonomous systems, perception and sensor fusion. Doctoral research at TUM and radar algorithm development at Bosch.

Co-founder · CEO
PhD in machine learning. AI leadership at M.M. Warburg and software engineering at Lufthansa Industry Solutions.

Co-founder · COO
Software engineering, robotics and operations. Engineering Science at TUM, production AI systems and prior startup experience.
Dr. Daniel Dücker · Underwater localisation and control · TUM MIRMI
Contact
Developing a robot, planning an inspection or testing an autonomy system? We work with robotics manufacturers, integrators, research teams and operators to shape the next step.
Discuss your project