Project description
Deep learning heads for deep waters
The importance of robots to numerous tasks and applications is increasing rapidly. Robots are often faster or more accurate than people, or they can assimilate much more data, or perhaps they are surrogates that can travel to places that are dangerous for their human counterparts. Equipping them with the capacity for deep learning has brought them even closer to humans architecturally and functionally, achieving recognition accuracy at unprecedented levels. The EU-funded DeeperSense project will enhance the environmental sensing capability of tomorrow's robots using AI and deep learning to combine visual and non-visual information the way humans do. The first application focus will be on the complicated and unknown environment of underwater autonomous robots.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robots
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
67663 Kaiserslautern
Germany
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Participants (6)
17004 Girona
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31905 Haifa
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28197 Bremen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
10559 Berlin
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95463 Jerusalem
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08918 Badalona Barcelona
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.