- 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 develop the communication and network capacity for the marine underwater robots by advancing the technology of underwater acoustic communication in a variety of underwater applications towards more robust and adaptive systems.
The focus is on improving noncoherent methods, in terms of rate and reliability in adverse and mobile environments, as well as pursuing underwater acoustic networks that adapt their communication links to the observed channel conditions. The evaluation of proposed methods is performed in replay simulation using the Watermark benchmark, enabling comparison with other publications in the literature and obtaining performance results in a wide range of channels, and through in situ experiments, which are necessary for validation in realistic conditions. The investigated class of methods avoid channel estimation and, therefore, have an inherent low numerical complexity, enabling implementation on simpler low-power hardware, which is key for deploying underwater systems during long time periods.
Magnus Nordenvaad, senior researcher FOI – Project leader
Viktor Lidström – PhD student