Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

TRAIL

Financiado

Cerrado

TRAnsparent InterpretabLe robots

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 ord... ver más

28/02/2027

UHAM

Presupuesto desconocido

Líder del proyecto

UNIVERSITY OF HAMBURG No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-03-01

HORIZON-MSCA-2021-DN-01-01: MSCA Doctoral Networks 2021 ExpectedOutcome:

I+D

Cerrada hace 3 años

0% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

Participantes

UHAM

Lider

Proyectos interesantes

SOCIAL ROBOTS

Robotics and Au...

Artificial Inte...

2M€ Cerrado

WYSIWYD

Robotics and Au...

Artificial Inte...

5M€ Cerrado

ARBI

Robotics and Au...

Artificial Inte...

162K€ Cerrado

INTRO

Robotics and Au...

Artificial Inte...

2M€ Cerrado

EUCogIII

Artificial Inte...

Robotics and Au...

2M€ Cerrado

CoreSense

Robotics and Au...

Artificial Inte...

5M€ Cerrado

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Duración del proyecto: 47 meses Fecha Inicio: 2023-03-01
Fecha Fin: 2027-02-28

Líder del proyecto

UNIVERSITY OF HAMBURG No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores