Computational Intelligence for Marine Litter Recovery

With the widespread use of single-use plastics, the seas have become open dumps, reporting serious consequences on marine biodiversity, and it has become urgent to define a method of recovering plastic at sea in order to limit its damage. This work focuses on computational intelligence methodologies for Marine Litter trajectories prediction and optimal path recovering for an autonomous vehicle. Realistic data generated from an oceanographic model are analyzed and results are described.