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Towards Intelligent Cognitive AUVs

Total Cost €


EC-Contrib. €






Project "TIC-AUV" data sheet

The following table provides information about the project.


Organization address
address: CAMPUS RING 1
city: BREMEN
postcode: 28759

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Project website
 Total cost 159˙795 €
 EC max contribution 159˙795 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-GF
 Starting year 2017
 Duration (year-month-day) from 2017-03-01   to  2019-02-28


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    JACOBS UNIVERSITY BREMEN GGMBH DE (BREMEN) coordinator 159˙795.00


 Project objective

In recent years, long-term autonomy and persistent autonomy have ecome key areas of interest for marine robotics researchers. Ocean observatories require autonomous robot deployments over months or years. Deep-water oilfield inspection and intervention with autonomous vehicles is now a commercial reality, but fielded robots rely heavily on accurate a priori models of the subsea assets. Robustness to errors in autonomous contact tasks requires detection of execution errors.

Today, our current generations of Autonomous Underwater Vehicles (AUVs) are generally limited to preplanned missions, or to limited forms of autonomy involving script switching and re-parametrisation in response to preprogrammed events.

The work envisaged in this project wants to address the need of greater autonomy and capabilities, improving the cognitive and intelligent layer of marine robotics. Research activities will focus on three main interconnected areas: • semantic world representation and reasoning, in order to represent the operating environment, taking into account uncertainty at different layers (sensor data, partial view, system evolution); • intelligent active localisation techniques, in order to define a specific set of actions aiming at robot localisation in the environment; • fault management, in order to detect, classify and react to possible in-mission faults and various problems.

Combining the research results in those areas and integrating them into real marine robots will result in a great increase of autonomy and intelligent cognitive capabilities, essential skills for persistent autonomy for robotics and autonomous systems.


year authors and title journal last update
List of publications.
2018 F. Maurelli, S. Krupinski
A semantic-aided particle filter approach for AUV localization
published pages: , ISSN: , DOI:
Proceedings of IEEE-MTS Oceans 2018. May 2018, Kobe, Japan. 2020-01-20
2018 F. Maurelli, S. Krupinski
A semantic-aided particle filter approach for AUV localization
published pages: , ISSN: , DOI:
Proceedings of IEEE-MTS Oceans 2018. May 2018, Kobe, Japan. 2020-01-20
2019 F. Maurelli, S. Krupinski, X. Xiang
AUV localisation: a review of passive and active techniques
published pages: , ISSN: 2366-5971, DOI:
Intelligent Robotics and Applications 2020-01-20
2018 Krupinski, F. Maurelli
Positioning aiding using LIDAR in GPS signal loss scenarios,
published pages: , ISSN: , DOI:
Proceedings of IEEE-OES Underwater Systems Technology. December 2018, Wuhan, China. 2020-01-20

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The information about "TIC-AUV" are provided by the European Opendata Portal: CORDIS opendata.

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