Dette projekt har til formål at forbedre autonomien af undervandsrobotter ved at forbedre deres evne til at forstå deres placering og omgivelser gennem avancerede visuelle teknikker til simultan lokalisering og kortlægning (SLAM). Ved at udnytte deep learning sigter projektet mod at overgå nuværende metoder, med fokus på AI-drevet billedbehandling for præcis og pålidelig kortlægning og lokalisering, hvilket sætter nye industristandarder med et betydeligt markedspotentiale for marineteknologi.

Aquaculture is globally the fastest growing animal food production sector, but the needs for high quality live feed for early life stages of many fish species is a limiting factor. We will develop methods for sustainable industrial-scale production of novel healthy live feed for fish larvae and juveniles. We will use two terrestrial invertebrates (nematodes and white worms) to replace the widely used, but sub-optimal, Artemia. The project will also develop technologies that increase contents of essential omega-3 fatty acid (HUFA) in live feed and decrease the need for antibiotics in aquaculture. Cryopreservation techniques will be developed to ensure long shelf life and stable supplies. As a spin-out of the project, the universities and partner companies aim to establish industrial mass production of live feeds. We estimate a direct yearly value creation up to 70 mill DKK, assuming a 1% replacement of the existing sales of Artemia worldwide. Indirect value creation through increased profit of fish farmers will potentially be even larger, along with societal benefits through reduced CO2 emissions, reduced use of antibiotics, less exploitation of natural marine resources, and healthier foods for humans. We have built a complete consortium of complementary research groups, live feed producers and aquaculture companies that can take this project all the way to exploitation and commercialization of the results in frame of a new enterprise along with creation of new jobs.