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Our project addresses the growing demand for extended oceanographic observation network. We are developing an innovative and affordable Autonomous Underwater Vehicle (AUV), named Jolly Oscar, that incorporates artificial intelligence for path determination and destination determination based on marine meteorological conditions. AUVs play a crucial role in marine monitoring by enabling independent exploration of areas that are difficult to access by other platforms. The goal of our approach aims to supply a cost-effective solution compared to existing options, allowing for the acquisition of a fleet of Jolly Oscar vehicles to enhance data collection. Simultaneous data gathering by multiple AUVs not only improves efficiency but also supplies a deeper understanding of marine phenomena. This cost-effective approach enables efficient and extensive spatial coverage, making easier the rapid collection of oceanographic data. Jolly Oscar can be equipped with a different array of interchangeable instrumental packages, including sensors for Conductivity-Temperature-Depth (CTD) and pH, chlorophyll fluorescence, turbidity, passive (hydrophone) and active (side-scan sonar or multibeam sonar) acoustic systems, Acoustic Doppler Current Profiler (ADCP). This versatility is crucial for gathering detailed oceanographic data which are essential for feeding numerical models, deepening our understanding of marine ecosystems, and checking ongoing environmental changes. By developing a cost-effective solution, Jolly Oscar aims to supply broader access to advanced oceanographic exploration. This inclusivity aims to encourage participation and involvement from the scientific community, allowing more researchers to use these technologically advanced tools. This collaborative approach contributes to the global effort of monitoring and understanding the intricate dynamics of our oceans, which is crucial for environmental conservation and responsible marine management.
Madonia et al. (Fri,) studied this question.