The objective of this research is to evaluate what is required to make the operation of multiple robots feasible for large scale seafloor imaging campaigns. Three blocking issues were identified; high cost of subsea robots, limited handling efficiency and insufficiently performant localization technology. These are solved by applying, in order: novel engineering solutions, automation, and solutions from literature. A proof of concept system design and a model are developed to analyze how the physical parameters of the subsea robots relate to the performance of the subsea mapping system. A case study shows that for large areas, the proposed solution is 80 times faster and less costly than conventional approaches. In conclusion, there is a technically feasible approach that can be used photograph the seafloor in a more cost-effective manner on a large scale.