NOPTILUS

autoNomous, self-Learning, OPTImal and compLete Underwater Systems
Project ID
Funding Organization:
Funding Instrument:
Integrated Project
Start Date:
01/04/2011
Duration:
51 months
Total Budget:
5,012,055 EUR
ITI Budget:
952,451 EUR
Scientific Responsible:

Current multi-AUV 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 current designs have to heavily rely on human operators. The involvement of humans, however, is by no means a guarantee of performance; humans can easily be overwhelmed by the information overload, fatigue can act detrimentally to their performance, properly coordinating vehicles actions is hard, and continuous operation is all but impossible. Within NOPTILUS we take the view that an effective fully-autonomous multi-AUV concept/system, is capable of overcoming these shortcomings, by replacing human-operated operations by a fully autonomous one. To successfully attain such an objective, significant advances are required, involving cooperative & cognitive-based communications and sonars (low level), Gaussian Process-based estimation

as well as perceptual sensory-motor and learning motion control (medium level), and learning/cognitive-based situation understanding and motion strategies (high level).Of paramount importance is the integration of all these advances and the demonstration of the NOPTILUS system in a realistic environment at the Port of Leixoes, utilizing a team of 6 AUVs that will be operating continuously on a 24hours/7days-a-week basis. As part of this demonstration another important aspect of the NOPTILUS system that of (near-) optimality will be shown. Evaluation of the performance of the overall NOPTILUS system will be performed with emphasis on its robustness, dependability, adaptability and flexibility especially when it deals with completely unknown underwater environments and situations never taught before as well as its ability to provide with arbitrarily-close-to-the-optimal performance.

Consortium

Ethniko Kentro Erevnas Kai Texnologikis Anaptyxis, Greece
Universidade Do Porto, Portugal
Eidgenoessische Technische Hochschule Zurich, Switzerland
Technische Universiteit Delft, Netherlands
Telecommunication Systems Institute, Greece
Imperial College Of Science, Techonogy And Medicine, United Kingdom
Oceanscan – Marine Systems & Technology LDA, Portugal
APDL – Administracao Dos Portos Dodouro E Leixoes SA, Portugal
Centre National De La Recherche Scientifique, France

Contact

Prof. Elias Kosmatopoulos
(Scientific Responsible)
Building B - Office 0.2A

Information Technologies Institute
Centre of Research & Technology - Hellas
1st km Thermis - Panoramatos, 57001, Thermi - Thessaloniki
Tel.: +30 2310 464160 (ext. 132)
Fax: +30 2310 464164
Email: kosmatop@iti.gr

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