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CONBOTS

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CONnected through roBOTS physically coupling humans to boost handwriting and mu...

CONnected through roBOTS physically coupling humans to boost handwriting and music learning From a parent coordinating movements to help a child learn to walk, to a violinist training a concerto, humans rely on physical interaction to learn from each other and from the environment. Building on a strongly multidisciplinar... see more

31/12/2023

UNEW

5M€

Project Budget: 5M€

Project leader

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

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

Ver 9 Participantes

Financing granted El organismo H2020 notifico la concesión del proyecto The day 2023-12-31

ICT-09-2019-2020: Robotics in Application Areas Specific Challenge:While robots originated in large-scale mass manufacturing, they are now spreading...

I+D

Cerrada does 6 years

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characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

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

9 Participantes

UNEW

406.52K€ | Leader

IMPERIAL COLLEGE OF SCIENCE...

798.75K€ | participant

UGent

550.57K€ | participant

UNIVERSITA CAMPUS BIO MEDICO...

786.30K€ | participant

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Project duration: 48 months Date Start: 2019-12-05
End date: 2023-12-31

Project leader

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

TRL 4-5

Project Budget 5M€

participation deadline Sin fecha límite de participación.

Project description From a parent coordinating movements to help a child learn to walk, to a violinist training a concerto, humans rely on physical interaction to learn from each other and from the environment. Building on a strongly multidisciplinary foundation with an integrated approach, CONBOTS proposes a paradigm shift that aims to augment handwriting and music learning through robotics, by creating a physically interacting robotic platform connecting humans in order to facilitate the learning of complex sensorimotor tasks. The newly designed platform will combine four enabling technologies: i) compact robotic haptic devices to gently interact with upper limbs; ii) an interactive controller yielding physical communication, integrating differential Game Theory (GT) and an algorithm to identify the partner’s control; iii) a bi-directional user interface encompassing AR-based application-driven serious games, and a set of wearable sensors and instrumented objects; iv) Machine learning algorithms for tailoring learning exercises to the user physical, emotional, and mental state CONBOTS is building on recent neuroscientific findings that showed the benefits of physical interaction to performing motor tasks together, where the human central nervous system understands a partner motor control and can use it to improve task performance and motor learning. This will be implemented on innovative robotic technology, wearable sensors and machine learning techniques to give rise to novel human-human and human-robot interaction paradigms applied in two different learning contexts: i) training graphomotor skills in children learning handwriting; ii) augmenting learning performance in beginner musicians. Using its neuroscience-driven unifying approach to motor learning and physical communication CONBOTS will expand the impact and the application of robotics to the education industry.

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