D3.3 Preliminary report on the Cable robot autonomous control using Machine learning for litter identification

The MAELSTROM project aims to test and evaluate innovative technologies for the removal of marine litter in different coastal environments, also assessing their impact on the ecosystems in chosen demo sites and evaluating the economic and societal benefits of the MAELSTROM solutions within local economies. Treatments of the plastic litter for their recovery within a circular economy concept are also foreseen.
Deliverable D3.3 deals with the autonomous control of the cable robot of the Robotic Seabed Cleaning Platform. In particular, it reports the on-going work on machine learning for marine litter identification.