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. Fields of science natural sciencesbiological sciencesmarine biologyengineering and technologymechanical engineeringvehicle engineeringautomotive engineeringautonomous vehiclesengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systemsengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2015-GF - Marie Skłodowska-Curie Individual Fellowships (IF-GF) Call for proposal H2020-MSCA-IF-2015 See other projects for this call Funding Scheme MSCA-IF-GF - Global Fellowships Coordinator CONSTRUCTOR UNIVERSITY BREMEN GGMBH Net EU contribution € 159 795,60 Address Campus ring 1 28725 Bremen Germany See on map Region Bremen Bremen Bremen, Kreisfreie Stadt Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Participants (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all TECHNISCHE UNIVERSITAET MUENCHEN Participation ended Germany Net EU contribution € 0,00 Address Arcisstrasse 21 80333 Muenchen See on map Region Bayern Oberbayern München, Kreisfreie Stadt Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Partners (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all Partner Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement. MASSACHUSETTS INSTITUTE OF TECHNOLOGY United States Net EU contribution € 0,00 Address Massachusetts avenue 77 02139 Cambridge See on map Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 80 065,20
