- Underwater docking
- Classification of sonar data with deep learning
- Vehicle system performance optimisation
- Hydrobatics simulator
- Autonomous underwater perception
- Underwater navigation
- Robust, flexible and transparent mission planning and execution
- Multi-agent mission planning and execution
- Air-independent energy storage
- Autonomous situation awareness and world modeling
- Underwater communication
- Demonstrator program
The aim of this project is to investigate and explore vehicle-related performance factors. The investigation will study e.g. propulsion, hydrodynamics, control strategies, velocity effects, scale factors, hotel load and payload energy needs. Focus is on multi-variable optimization techniques regarding electro, mechanical and hydromechanical design as well as on modes of operation on primarily, long range and long endurance maritime underwater robot, including alternative propulsion systems.
The project will also support the design of the demonstrators.
Jakob Kuttenkeuler, Professor Centre of Naval architecture KTH – Project leader
Clemens Deutsch – PhD student