AquaBot is based on the QYSEA V-EVO underwater drone, equipped with a gripper and cameras to capture images underwater. The robot learns using data from human demonstrations and improves its skills through optimization based on feedback.
In the experiments, AquaBot demonstrated high performance in various tasks such as collecting rocks, sorting garbage and retrieving objects. It is important for the robot to perform these tasks faster than the human, and the ability to self-learn allows the robot to improve with each experience.
Research has shown that AquaBot significantly outperforms humans in completing tasks, improving its performance by 41%. Open access to the robot’s software and hardware allows other scientists to continue development and testing in real-world conditions, which will open up new possibilities for using the robot in rescue operations and seabed cleaning.
Source: Ferra
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