Acronym SeaClear
Category
Fisheries
Title SEarch, identificAtion and Collection of marine Litter with Autonomous Robots Programme H2020
Instrument (FP6)
Contact Type (FP7)
Strand (Interreg)
NA
Theme (FP7)
Activity Area (FP6)
Regional Area (Interreg)
Action (COST)
NA
Specific Programme (FP7)
NA
Funding source European Coordinator NA Coordinator email NA
Coordinator institution
TU Delft - Delft University of Technology (Netherlands)
Institutions involved
NA - Fraunhofer Society for the promotion of Applied Research e.V. (Germany) ,
HPA - Hamburg Port Authority (Germany) ,
NA - Regional Agency of Dunea (Croatia) ,
Subsea Tech - Subsea Tech SAS (France) ,
NA - Technical University of Cluj-Napoca (Romania) ,
TUM - Technical University of Munich (Germany) ,
UNIDU - University of Dubrovnik (Croatia) ,
Start year 2020 End year 2023 Funding (€) € 4,981,268 Website https://cordis.europa.eu/project/id/871295 Summary Today's oceans contain 26-66 million tons of waste, with approximately 94% located on the seafloor. So far, collection efforts have focused mostly on surface waste, with only a few local efforts to gather underwater waste, always using human divers. No solution exists that exploits autonomous robots for underwater litter collection; the SeaClear project will develop the first. We will create a mixed team of Unmanned Underwater, Surface, and Aerial Vehicles -- UUV, USV, UAV -- to find and collect litter from the seabed and from the water column, focusing on coastal areas since that is where waste inflow concentrates. The UAV and one or several inspection UUVs map the litter, aiming to establish correlations between surface and underwater litter. One or multiple collection UUVs then classify and collect litter, using a combined suction-gripper manipulator for both small and large waste. The UUVs are tethered to offload power and computation to the USV. Our objective is to operate the robots autonomously, without remote human intervention, and to that end we plan novel developments in debris mapping, classification, and robot control. When fully operational, the SeaClear system aims to detect and classify underwater litter with 80% success rate, and collect it with a 90% success rate; all this at 70% reduced cost compared to divers. We will demonstrate these features in two case studies: one in port cleaning (with end-user Hamburg Port Authority), and the other in a touristic area (Dubrovnik -- with end-user DUNEA). Besides the two end-users, the consortium includes an SME supplying proven hardware for our platform; an experienced marine system integrator; and four academic institutions with complementary expertise in underwater and aerial robotics, sensing, mapping, and control. The feasibility of SeaClear is completed by an exploitation and dissemination strategy that actively involves scientists, public and industry stakeholders, and Digital Innovation Hubs.
Keywords
Engineering;
Environmental impact;
Marine litter;
Prototype;
Pollution;
Marine Region
6
Central North Sea (27.IVb)
74
Northern Adriatic (GSA 17)
2
Marine Region Map
