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autoNomous, self-Learning, OPTImal and compLete Underwater Systems (NOPTILUS)
Start date: Apr 1, 2011, End date: Jun 30, 2015 PROJECT  FINISHED 

Description Current multi-AUV (autonomous underwater vehicle) systems are far from being capable of fully autonomously taking over real-life complex situation-awareness operations. As such operations require advanced reasoning and decision-making abilities the existing designs have to heavily rely on human operators. But humans can easily be overwhelmed by the information overload, fatigue can act negatively to their performance, properly coordinating vehicles actions is hard and continuous operation is all but impossible. NOPTILUS takes the view that an effective fully-autonomous multi-AUV system is capable of overcoming these shortcomings and replacing human-operated operations. To successfully attain such an objective, significant advances are required in the fields of cooperative/cognitive-based communications, sonars, perceptual sensory-motor, learning motion control and learning/cognitive-based situation understanding.

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