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Deep-Learning for Multimodal Sensor Fusion

Objective

The main objective of DeeperSense is to significantly improve the capabilities for environment perception of service robots to improve their performance and reliability, achieve new functionality, and open up new applications for robotics. DeeperSense adopts a novel approach of using Artificial Intelligence and data-driven Machine Learning / DeepLearning to combine the capabilities of non-visual and visual sensors with the objective to improve their joint capability of environment perception beyond the capabilities of the individual sensors. As one of the most challenging application areas for robot operation and environment perception, DeeperSense chooses underwater robotics as a domain to demonstrate and verify this approach. The project implements DeepLearning solutions for three use cases that were selected for their societal relevance and are driven by concrete end-user and market needs. During the project, comprehensive training data are generated. The algorithms are trained on these data and verified both in the lab and in extensive field trials. The trained algorithms are optimized to run on the on-board hardware of underwater vehicles, thus enabling real-time execution in support of the autonomous robot behaviour. Both the algorithms and the data will be made publicly available through online repositories embedded in European research infrastructures. The DeeperSense consortium consists of renowned experts in robotics and marine robotics, artificial

Field of science

  • /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/robotics/autonomous robots
  • /natural sciences/computer and information sciences/artificial intelligence
  • /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/sensors

Call for proposal

H2020-ICT-2020-2
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH
Address
Trippstadter Strasse 122
67663 Kaiserslautern
Germany
Activity type
Research Organisations
EU contribution
€ 862 500

Participants (6)

UNIVERSITAT DE GIRONA
Spain
EU contribution
€ 475 000
Address
Placa Sant Domenec 3
17004 Girona
Activity type
Higher or Secondary Education Establishments
UNIVERSITY OF HAIFA
Israel
EU contribution
€ 619 462,50
Address
Abba Khushy Blvd Mount Carmel
31905 Haifa
Activity type
Higher or Secondary Education Establishments
KRAKEN ROBOTIK GMBH
Germany
EU contribution
€ 474 375
Address
Am Hohentorshafen 3
28197 Bremen
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
BUNDESMINISTERIUM DES INNERN
Germany
EU contribution
€ 338 776,25
Address
Alt-moabit 101
10559 Berlin
Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
ISRAEL NATURE AND NATIONAL PARKS PROTECTION AUTHORITY
Israel
EU contribution
€ 102 500
Address
Am Ve Olamo Street 3
95463 Jerusalem
Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
TECNO AMBIENTE SL
Spain
EU contribution
€ 116 625
Address
Calle Industria 550-552
08918 Badalona Barcelona
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)