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CONnected through roBOTS: physically coupling humans to boost handwriting and music learning

Descripción del proyecto

Robots para fomentar la comunicación física al escribir y aprender música

Una investigación neurocientífica ha demostrado los beneficios de la interacción física en el aprendizaje de tareas sensomotoras complejas. El sistema nervioso central humano reconoce el control motor de un compañero y puede utilizarlo para mejorar la ejecución del trabajo y el aprendizaje motor. El proyecto CONBOTS, financiado con fondos europeos, investigará un cambio de paradigma que fomente la comunicación física mediante robots para mejorar la escritura de los niños y el aprendizaje musical de los músicos principiantes. El proyecto aplicará una innovadora tecnología robótica, sensores vestibles y algoritmos de aprendizaje automático para construir una plataforma robótica físicamente interactiva que conecte a las personas para respaldar el aprendizaje de tareas sensomotoras complejas. El resultado del proyecto fomentará el uso de la robótica en el ámbito educativo.

Objetivo

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.

Convocatoria de propuestas

H2020-ICT-2018-20

Consulte otros proyectos de esta convocatoria

Convocatoria de subcontratación

H2020-ICT-2019-2

Régimen de financiación

RIA - Research and Innovation action

Coordinador

UNIVERSITY OF NEWCASTLE UPON TYNE
Aportación neta de la UEn
€ 406 517,50
Dirección
KINGS GATE
NE1 7RU Newcastle Upon Tyne
Reino Unido

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Región
North East (England) Northumberland and Tyne and Wear Tyneside
Tipo de actividad
Higher or Secondary Education Establishments
Enlaces
Coste total
€ 406 517,50

Participantes (7)