Recently, a European research team developed a robotic system that can collect garbage underwater and successfully conducted the first test of a prototype. The robotic system consists of four autonomous robots capable of distinguishing litter from marine flora and fauna through deep learning algorithms and acoustic sensors.
Under the framework of Horizon 2020, the European Union has awarded 5 million euros to the seabed garbage collection project, hoping to develop a robotic system to collect seabed garbage. Now, the joint research project, called Clean Sea, has successfully completed the first test of a prototype. The project involves 8 partners and 49 researchers from 5 countries.
The robotic system of the "Clean Sea" project consists of four autonomous robots, including an autonomous (or remote-controlled) mother ship, a drone, and two underwater robots. The two underwater robots are powered by cables from the mother ship. Drones and underwater robots are used to identify trash. They use deep learning algorithms and acoustic sensors to differentiate litter from marine flora and fauna. Detected litter is collected using a custom-designed grabber and suction device and placed in a collection bin located on the surface of the water.
A drone flying in the air can generate a virtual map from the collected information. The underwater robot then drives over certain points on the map and collects garbage. Through so-called multi-agent control technology, all robots are connected to each other, and when one robot changes position, the other robots know. Apart from an initial command from a robot, the entire system requires no human intervention.
Germany's the Technical University of Munich, which is involved in the project, provides the robots with artificial intelligence algorithms that teach underwater robots when and under what conditions to move in a certain way. Once the litter has been found and located, the robot will insist on moving around it, even if it encounters a strong current. At the same time, algorithms strive to make the best predictions with as little data as possible. The goal of the Clean Sea project is to sort underwater litter with an 80% predicted rate and successfully collect 90% of it, roughly on par with the work of divers.
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