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TRAnsparent InterpretabLe robots

Objective

TRAIL strategically focuses on a novel, highly interdisciplinary and cross-sectorial research and training programme for a better understanding of transparency in deep learning, artificial intelligence and robotics systems. In order to train a new generation of Doctoral Candidates to become experts in the design and implementation of transparent, interpretable neural systems and robots, we have built a highly interdisciplinary consortium, containing expert partners with long-standing expertise in cutting-edge artificial intelligence and robotics, including deep neural networks, computer science, mathematics, social robotics, human-robot interaction and psychology. In order to build transparent robotic systems, these new ESR researchers need to learn about the theory and practice of the principles of (1) internal decision understanding and (2) external transparent behaviour. Since the ability to interpret complex robotic systems needs highly interdisciplinary knowledge, we will start, on the decision level, to interpret deep neural learning and analyse what knowledge can be efficiently extracted. At the same time, on the behaviour level, the disciplines of human-robot interaction and psychology will be key in order to understand how to present the extracted knowledge as behaviour in an intuitive and natural way to a human user to integrate the robot into a cooperative human-robot interaction. A scaffolded training curriculum will guarantee that the ESRs have not only a deep understanding of both research areas, but experience optimal skill training to be fully prepared for a successful research career in academia and industry. The importance and need of this research for the industry is clearly visible with the full commitment of 7 leading European and world-wide-operating robotics companies that together cover the majority of Europe’s robot market and a broad spectrum of AI applications.

Coordinator

UNIVERSITAET HAMBURG
Net EU contribution
€ 521 078,40
Address
Mittelweg 177
20148 Hamburg
Germany

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Region
Hamburg Hamburg Hamburg
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
No data

Participants (6)

UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II
Italy
Net EU contribution
€ 259 437,60
Address
Corso Umberto I, 40
80138 Napoli

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Region
Sud Campania Napoli
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
No data
AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
Spain
Net EU contribution
€ 251 971,20
Address
Calle Serrano 117
28006 Madrid

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Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Research Organisations
Non-EU contribution
No data
UNIVERZITA KOMENSKEHO V BRATISLAVE
Slovakia
Net EU contribution
€ 235 814,40
Address
Safarikovo Nam 6
814 99 Bratislava

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Region
Slovensko Bratislavský kraj Bratislavský kraj
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
No data
UNIVERSITA DEGLI STUDI DI PADOVA
Italy
Net EU contribution
€ 259 437,60
Address
Via 8 Febbraio 2
35122 Padova

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Region
Nord-Est Veneto Padova
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
No data
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
France
Net EU contribution
€ 282 693,60
Address
Rue Michel Ange 3
75794 Paris

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Region
Ile-de-France Ile-de-France Paris
Activity type
Research Organisations
Non-EU contribution
No data
PAL ROBOTICS SL
Spain
Net EU contribution
€ 251 971,20
Address
Calle Pujades 77 79 4o 4a
08005 Barcelona

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Este Cataluña Barcelona
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Non-EU contribution
No data